SainSE: An Intelligent Search Engine Based on WWW Structure Analysis. - GuoZhen Feng; Xueqi Cheng; Shuo Bai (IPDPS, 2001)

Automatic extraction of lexical relations from Chinese machine readable dictionary. - Sujian Li; Qun Liu 001; Shuo Bai; Xueqi Cheng (SMC, 2001)

TREC-10 Experiments at CAS-ICT: Filtering, Web and QA. - Bin Wang 004; Hongbo Xu; Zhifeng Yang; Yue Liu; Xueqi Cheng; Dongbo Bu; Shuo Bai (TREC, 2001)

Automatic Recognition of Chinese Unknown Words Based on Roles Tagging. - Kevin Zhang; Qun Liu 001; Hao Zhang 048; Xueqi Cheng (SIGHAN@COLING, 2002)

Example-based phrase translation in Chinese-English CLIR. - Bin Wang 004; Xueqi Cheng; Shuo Bai (SIGIR, 2002)

TREC 11 Experiments at CAS-ICT: Filtering and Web. - Hongbo Xu; Zhifeng Yang; Bin Wang 004; Bin Liu; Jun Cheng; Yue Liu; Zhe Yang 002; Xueqi Cheng; Shuo Bai (TREC, 2002)

Chinese Lexical Analysis Using Hierarchical Hidden Markov Model. - Huaping Zhang; Qun Liu 001; Xueqi Cheng; Hao Zhang 048; Hongkui Yu (SIGHAN, 2003)

TREC 2003 Novelty and Web Track at ICT. - Jian Sun 008; Zhe Yang 002; Wenfeng Pan; Huaping Zhang; Bin Wang 004; Xueqi Cheng (TREC, 2003)

Chinese Named Entity Recognition Using Role Model. - Huaping Zhang; Qun Liu 001; Hongkui Yu; Xueqi Cheng; Shuo Bai (Int. J. Comput. Linguistics Chin. Lang. Process., 2003)

WonGoo: A Pure Peer-to-Peer Full Text Information Retrieval System Based On Semantic Overlay Networks. - Jianming Lv; Xueqi Cheng (NCA, 2004)

WonGoo: A Peer-to-Peer Protocol for Anonymous Communication. - Tianbo Lu; Binxing Fang; Yuzhong Sun; Xueqi Cheng (PDPTA, 2004)

Experiments in TREC 2004 Novelty Track at CAS-ICT. - Huaping Zhang; Hongbo Xu; Shuo Bai; Bin Wang 004; Xueqi Cheng (TREC, 2004)

TREC 2004 Web Track Experiments at CAS-ICT. - Zhaotao Zhou; Yan Guo 001; Bin Wang 004; Xueqi Cheng; Hongbo Xu; Gang Zhang (TREC, 2004)

Performance Analysis ofWonGoo System. - Tianbo Lu; Binxing Fang; Yuzhong Sun; Xueqi Cheng (CIT, 2005)

A novel refinement approach for text categorization. - Songbo Tan; Xueqi Cheng; Moustafa Ghanem; Bin Wang 004; Hongbo Xu (CIKM, 2005)

ThresPassport - A Distributed Single Sign-On Service. - Tierui Chen; Bin B. Zhu; Shipeng Li 001; Xueqi Cheng (ICIC (2), 2005)

Building Scale-Free Overlay Mix Networks with Small-World Properties. - Tianbo Lu; Binxing Fang; Yuzhong Sun; Xueqi Cheng; Li Guo 001 (ICITA (2), 2005)

Region-level approximate computation reuse for power reduction in multimedia applications. - Xueqi Cheng; Michael S. Hsiao (ISLPED, 2005)

Using dragpushing to refine centroid text classifiers. - Songbo Tan; Xueqi Cheng; Bin Wang 004; Hongbo Xu; Moustafa Ghanem; Yike Guo (SIGIR, 2005)

CAS-ICT at TREC 2005 SPAM Track: Using Non-Textual Information to Improve Spam Filtering Performance. - Shuhua Wang; Bin Wang 004; Hao Lang; Xueqi Cheng (TREC, 2005)

Survey and Taxonomy of Feature Selection Algorithms in Intrusion Detection System. - You Chen; Yang Li 002; Xueqi Cheng; Li Guo 001 (Inscrypt, 2006)

Traffic classification-based spam filter. - Ni Zhang; Yu Jiang; Binxing Fang; Xueqi Cheng; Li Guo 001 (ICC, 2006)

NSME: A Framework for Network Worm Modeling and Simulation. - Siming Lin; Xueqi Cheng (Net-Con, 2006)

A traffic-classified technique for filtering spam from bulk delivery E-mails. - Ni Zhang; Yu Jiang; Binxing Fang; Li Guo 001; Xueqi Cheng (IPCCC, 2006)

Social Network Structure Behind the Mailing Lists: ICT-IIIS at TREC 2006 Expert Finding Track. - Haiqiang Chen; Huawei Shen; Jin Xiong; Songbo Tan; Xueqi Cheng (TREC, 2006)

PSM: A New Re-Ranking Algorithm for Named-Page. - Jiafeng Guo; Lin Ding; Gang Zhang; Yue Liu; Xueqi Cheng (TREC, 2006)

Combining Language Model with Sentiment Analysis for Opinion Retrieval of Blog-Post. - Xiangwen Liao; Donglin Cao; Songbo Tan; Yue Liu; Guodong Ding; Xueqi Cheng (TREC, 2006)

Using DragPushing to Refine Concept Index for Text Categorization. - Xueqi Cheng; Songbo Tan; Lilian Tang (J. Comput. Sci. Technol., 2006)

Efficient on-line index maintenance for dynamic text collections by using dynamic balancing tree. - Ruijie Guo; Xueqi Cheng; Hongbo Xu; Bin Wang 004 (CIKM, 2007)

CTO: concept tree based semantic overlay for pure peer-to-peer information retrieval. - Jianming Lv; Xueqi Cheng (CIKM, 2007)

A novel scheme for domain-transfer problem in the context of sentiment analysis. - Songbo Tan; Gaowei Wu; Huifeng Tang; Xueqi Cheng (CIKM, 2007)

Dynamic Summarization: Another Stride Towards Summarization. - Jin Zhang; Xueqi Cheng; Hongbo Xu (Web Intelligence/IAT Workshops, 2007)

A Novel Method for Hierarchical Clustering of Search Results. - Gang Zhang; Yue Liu; Songbo Tan; Xueqi Cheng (Web Intelligence/IAT Workshops, 2007)

Toward Building Lightweight Intrusion Detection System Through Modified RMHC and SVM. - You Chen; Wen-Fa Li; Xueqi Cheng (ICON, 2007)

A Visualized Parallel Network Simulator for Modeling Large-Scale Distributed Applications. - Siming Lin; Xueqi Cheng; Jianming Lv (PDCAT, 2007)

LiveBT: Providing Video-on-Demand Streaming Service over BitTorrent Systems. - Jianming Lv; Xueqi Cheng; Qing Jiang; Jing Ye; Tieying Zhang; Siming Lin; Lei Wang (PDCAT, 2007)

An Effective Approach to Enhance Centroid Classifier for Text Categorization. - Songbo Tan; Xueqi Cheng (PKDD, 2007)

Using hypothesis margin to boost centroid text classifier. - Songbo Tan; Xueqi Cheng (SAC, 2007)

Experiments in TREC 2007 Blog Opinion Task at CAS-ICT. - Xiangwen Liao; Donglin Cao; Yu Wang 009; Wei Liu; Songbo Tan; Hongbo Xu; Xueqi Cheng (TREC, 2007)

Research on Enterprise Track of TREC 2007. - Huawei Shen; Guoyao Chen; Haiqiang Chen; Yue Liu; Xueqi Cheng (TREC, 2007)

How Contents Influence Clustering Features in the Web. - Xueqi Cheng; Fuxin Ren; Xianbin Cao 001; Jing Ma (Web Intelligence, 2007)

Modeling the Evolution of Web using Vertex Content Similarity. - Jing Ma; Xianbin Cao 001; Yuanping Guo; Xueqi Cheng (Web Intelligence, 2007)

Text Feature Ranking Based on Rough-set Theory. - Songbo Tan; Yuefen Wang; Xueqi Cheng (Web Intelligence, 2007)

Data Hiding in a Kind of PDF Texts for Secret Communication. - Shangping Zhong; Xueqi Cheng; Tierui Chen (Int. J. Netw. Secur., 2007)

Towards an analysis of WonGoo performance. - Tianbo Lu; Binxing Fang; Yuzhong Sun; Xueqi Cheng (Int. J. Pervasive Comput. Commun., 2007)

GSPSummary: A Graph-Based Sub-topic Partition Algorithm for Summarization. - Jin Zhang; Xueqi Cheng; Hongbo Xu (AIRS, 2008)

State Causality Analysis of Conservative Parallel Network Simulation. - Siming Lin; Xueqi Cheng; Jianming Lv (Annual Simulation Symposium, 2008)

GATS-C4.5: An Algorithm for Optimizing Features in Flow Classification. - You Chen; Lei Dai; Xueqi Cheng (CCNC, 2008)

AdaSum: an adaptive model for summarization. - Jin Zhang 029; Xueqi Cheng; Gaowei Wu; Hongbo Xu (CIKM, 2008)

Simulation-Directed Invariant Mining for Software Verification. - Xueqi Cheng; Michael S. Hsiao (DATE, 2008)

Ant Colony Optimization directed program abstraction for software bounded model checking. - Xueqi Cheng; Michael S. Hsiao (ICCD, 2008)

Micro-Synchronization in Conservative Parallel Network Simulation. - Siming Lin; Xueqi Cheng; Jianming Lv (PADS, 2008)

Detecting Near-Duplicates in Large-Scale Short Text Databases. - Caichun Gong; Yulan Huang; Xueqi Cheng; Shuo Bai (PAKDD, 2008)

BC-GA: A Graph Partitioning Algorithm for Parallel Simulation of Internet Applications. - Siming Lin; Xueqi Cheng (PDP, 2008)

An efficient feature ranking measure for text categorization. - Songbo Tan; Yuefen Wang; Xueqi Cheng (SAC, 2008)

Using unlabeled data to handle domain-transfer problem of semantic detection. - Songbo Tan; Yuefen Wang; Gaowei Wu; Xueqi Cheng (SAC, 2008)

A unified and discriminative model for query refinement. - Jiafeng Guo; Gu Xu; Hang Li 001; Xueqi Cheng (SIGIR, 2008)

Combining learn-based and lexicon-based techniques for sentiment detection without using labeled examples. - Songbo Tan; Yuefen Wang; Xueqi Cheng (SIGIR, 2008)

ICTCAS's ICTGrasper at TAC 2008: Summarizing Dynamic Information with Signature Terms Based Content Filtering. - Jin Zhang; Xueqi Cheng; Hongbo Xu; Xiaolei Wang; Yiling Zeng (TAC, 2008)

Research on Enterprise Track of TREC 2008. - Huawei Shen; Lei Wang; Wenjing Bi; Yue Liu; Xueqi Cheng (TREC, 2008)

A Novel Language Model Based on Cognition Attention Attenuation in Web Retrieval. - Donglin Cao; Hongbo Xu; Shuo Bai; Xueqi Cheng; Shaozi Li (Web Intelligence, 2008)

A Wavelet-Based Model to Recognize High-Quality Topics on Web Forum. - You Chen; Xueqi Cheng; Yulan Huang (Web Intelligence, 2008)

Finding core members in virtual communities. - Haiqiang Chen; Xueqi Cheng; Yue Liu (WWW, 2008)

Incremental web page template detection. - Yu Wang 009; Binxing Fang; Xueqi Cheng; Li Guo 001; Hongbo Xu (WWW, 2008)

Detect overlapping and hierarchical community structure in networks - Huawei Shen; Xueqi Cheng; Kai Cai; Mao-Bin Hu (CoRR, 2008)

Graph Ranking for Sentiment Transfer. - Qiong Wu; Songbo Tan; Xueqi Cheng (ACL/IJCNLP (2), 2009)

Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis. - Songbo Tan; Xueqi Cheng; Yuefen Wang; Hongbo Xu (ECIR, 2009)

Simultaneous Product Attribute Name and Value Extraction from Web Pages. - Bo Wu; Xueqi Cheng; Yu Wang 009; Yan Guo 001; Linhai Song (Web Intelligence/IAT Workshops, 2009)

Mediacoop: Hierarchical Lookup for P2P-VoD Services. - Tieying Zhang; Jianming Lv; Xueqi Cheng (ICPP, 2009)

ContentEx: A framework for automatic content extraction programs. - Linhai Song; Xueqi Cheng; Yan Guo 001; Yue Liu; Guodong Ding (ISI, 2009)

Facilitating wrapper generation with page analysis. - Bo Wu; Xueqi Cheng; Yu Wang 009; Gang Zhang; Guodong Ding (ISI, 2009)

Improving SCL Model for Sentiment-Transfer Learning. - Songbo Tan; Xueqi Cheng (HLT-NAACL (Short Papers), 2009)

IS 2009 - PC Co-chairs' Message. - Stefanos Gritzalis; Xueqi Cheng (OTM Conferences (2), 2009)

Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement. - Songbo Tan; Gaowei Wu; Xueqi Cheng (ECML/PKDD (2), 2009)

Omni-directional vision for robot navigation in substation environments. - Rui Guo; Lei Han; Xueqi Cheng (ROBIO, 2009)

Named entity recognition in query. - Jiafeng Guo; Gu Xu; Xueqi Cheng; Hang Li 001 (SIGIR, 2009)

ICTGrasper at TAC2009: Temporal Preferred Update Summarization. - Jin Zhang 029; Pan Du 001; Hongbo Xu; Xueqi Cheng (TAC, 2009)

ICTNET at Web Track 2009 Diversity Track. - Wenjing Bi; Xiaoming Yu; Yue Liu; Feng Guan; Zeying Peng; Hongbo Xu; Xueqi Cheng (TREC, 2009)

ICTNET at Web Track 2009 Ad-hoc Task. - Feng Guan; Xiaoming Yu; Zeying Peng; Hongbo Xu; Yue Liu; Linhai Song; Xueqi Cheng (TREC, 2009)

ICTNET at Blog Track TREC 2009. - Xueke Xu; Yue Liu; Hongbo Xu; Xiaoming Yu; Linhai Song; Feng Guan; Zeying Peng; Xueqi Cheng (TREC, 2009)

A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track. - Haijun Zhai; Xueqi Cheng; Jiafeng Guo; Hongbo Xu; Yue Liu (TREC, 2009)

SentiRank: Cross-Domain Graph Ranking for Sentiment Classification. - Qiong Wu; Songbo Tan; Haijun Zhai; Gang Zhang; Miyi Duan; Xueqi Cheng (Web Intelligence, 2009)

Query Classification Based on Regularized Correlated Topic Model. - Haijun Zhai; Jiafeng Guo; Qiong Wu; Xueqi Cheng; Huawei Shen; Jin Zhang 029 (Web Intelligence, 2009)

Bursty topics extraction for web forums. - You Chen; Sen Yang; Xueqi Cheng (WIDM, 2009)

A survey on sentiment detection of reviews. - Huifeng Tang; Songbo Tan; Xueqi Cheng (Expert Syst. Appl., 2009)

A Two-Stage Algorithm for Domain Adaptation with Application to Sentiment Transfer Problems. - Qiong Wu; Songbo Tan; Miyi Duan; Xueqi Cheng (AIRS, 2010)

Detect Events on Noisy Textual Datasets. - Sen Yang; Xueqi Cheng; You Chen; Gaolin Fang; Jin Zhang 029; Hongbo Xu (APWeb, 2010)

Manifold ranking with sink points for update summarization. - Pan Du 001; Jiafeng Guo; Jin Zhang 029; Xueqi Cheng (CIKM, 2010)

A structured approach to query recommendation with social annotation data. - Jiafeng Guo; Xueqi Cheng; Gu Xu; Huawei Shen (CIKM, 2010)

MIEA: a Mutual Iterative Enhancement Approach for Cross-Domain Sentiment Classification. - Qiong Wu; Songbo Tan; Xueqi Cheng; Miyi Duan (COLING (Posters), 2010)

Social Recommendation with Interpersonal Influence. - Junming Huang 001; Xueqi Cheng; Jiafeng Guo; Huawei Shen; Kun Yang 001 (ECAI, 2010)

A QoS-Aware Dynamic Bandwidth Allocation Algorithm for Base Stations in IEEE 802.16j-Based Vehicular Networks. - Ridong Fei; Kun Yang 001; Shumao Ou; Xueqi Cheng (GLOBECOM, 2010)

Multi-task Downloading for P2P-VoD: An Empirical Perspective. - Tieying Zhang; Zhenhua Li 001; Xueqi Cheng; Xianghui Sun (ICPADS, 2010)

Improving the routing performance of KAD through social network analysis. - Xiangtao Liu; Shuo Bai; You Chen; Xueqi Cheng (ISCC, 2010)

Identifying vulgar content in eMule network through text classification. - Xiangtao Liu; Xueqi Cheng; Jingyuan Li 002; Haijun Zhai; Shuo Bai (ISI, 2010)

Rainbow: A Robust and Versatile Measurement Tool for Kademlia-Based DHT Networks. - Xiangtao Liu; Tao Meng; Kai Cai; Xueqi Cheng (PDCAT, 2010)

Introducing global scaling parameters into Ncut. - Yiling Zeng; Hongbo Xu; Xueqi Cheng; Shuo Bai (SAC, 2010)

TMSP: Topic Guided Manifold Ranking with Sink Points for Guided Summarization. - Pan Du 001; Jin Zhang 029; Jiafeng Guo; Xueqi Cheng (TAC, 2010)

ICTNET at Entity Track TREC 2010. - Lei Cao; Lu Bai; Xueqi Cheng; Jiafeng Guo; Hongbo Xu; Yue Liu; Xiaoming Yu (TREC, 2010)

ICTNET at Web Track 2010 Ad-hoc Task. - Xu Chen; Zeying Peng; Jianguo Wang; Xiaoming Yu; Yue Liu; Hongbo Xu; Xueqi Cheng (TREC, 2010)

ICTNET at Blog Track TREC 2010. - Xueke Xu; Yue Liu; Hongbo Xu; Xiaoming Yu; Zeying Peng; Xueqi Cheng; Lihao Xiao; Shuaishuai Nie (TREC, 2010)

ICTNET at Web Track 2010 Diversity Task. - Yuanhai Xue; Zeying Peng; Xiaoming Yu; Yue Liu; Hongbo Xu; Xueqi Cheng (TREC, 2010)

ICTNET at Web Track 2010 Spam Task. - Liang Zhu; Bolong Zhu; Jianguo Wang; Xu Chen; Zeying Peng; Xiaoming Yu; Yue Liu; Hongbo Xu; Xueqi Cheng (TREC, 2010)

Modeling Users' Information Goal Transitions and Satisfaction Judgment: Understanding the Full Search Process. - Shandian Zhe; Tian Xia; Xueqi Cheng (Web Intelligence, 2010)

Adapting information bottleneck method for automatic construction of domain-oriented sentiment lexicon. - Weifu Du; Songbo Tan; Xueqi Cheng; Xiao-chun Yun (WSDM, 2010)

Spectral methods for the detection of network community structure: a comparative analysis - Huawei Shen; Xueqi Cheng (CoRR, 2010)

Network intrusion detection based on system calls and data mining. - Xinguang Tian; Xueqi Cheng; Miyi Duan; Rui Liao; Hong Chen; Xiaojuan Chen (Frontiers Comput. Sci. China, 2010)

Call for Papers: 'Interdisciplinary and Cross-layer Design of Mobile Social Networks and Wireless Networks'. - Kun Yang 001; Xueqi Cheng; Giovanni Pau 001 (Int. J. Commun. Syst., 2010)

Binary almost-perfect sequence sets. - Kai Cai; Guobiao Weng; Xueqi Cheng (IEEE Trans. Inf. Theory, 2010)

Exploring Hybrid Dynamic and Static Techniques for Software Verification. - Xueqi Cheng (2010)

Query Recommendation by Modelling the Query-Flow Graph. - Lu Bai; Jiafeng Guo; Xueqi Cheng (AIRS, 2011)

Using Key Sentence to Improve Sentiment Classification. - Zheng Lin 001; Songbo Tan; Xueqi Cheng (AIRS, 2011)

Social Network Analysis on KAD and Its Application. - Xiangtao Liu; Yang Li 002; Zhezhong Li; Xueqi Cheng (APWeb, 2011)

Intent-aware query similarity. - Jiafeng Guo; Xueqi Cheng; Gu Xu; Xiaofei Zhu (CIKM, 2011)

Language-independent sentiment classification using three common words. - Zheng Lin 001; Songbo Tan; Xueqi Cheng (CIKM, 2011)

Context-aware query recommendation by learning high-order relation in query logs. - Xiaohui Yan; Jiafeng Guo; Xueqi Cheng (CIKM, 2011)

A White-Box Empirical Study of P2P-VoD Systems: Several Unconventional New Findings. - Tieying Zhang; Zhenhua Li 001; Huawei Shen; Yan Huang; Xueqi Cheng (ICCCN, 2011)

Supervised Lazy Random Walk for Topic-Focused Multi-document Summarization. - Pan Du 001; Jiafeng Guo; Xueqi Cheng (ICDM, 2011)

Multi-Select Faceted Navigation Based on Minimum Description Length Principle. - Chao He; Xueqi Cheng; Jiafeng Guo; Huawei Shen (IJCAI, 2011)

Trojan characteristics analysis based on Stochastic Petri Nets. - He Gao; Yuanzhuo Wang; Li Wang; Li Liu; Jinming Li; Xueqi Cheng (ISI, 2011)

Prevent DNS Cache Poisoning Using Security Proxy. - Lejun Fan; Yuanzhuo Wang; Xueqi Cheng; Jinming Li (PDCAT, 2011)

Modeling and Analysis of Email Worm Propagation Based on Stochastic Game Nets. - Min Yu; Yuanzhuo Wang; Li Liu; Xueqi Cheng (PDCAT, 2011)

Aspect-based extractive summarization of online reviews. - Xueke Xu; Tao Meng; Xueqi Cheng (SAC, 2011)

Decayed DivRank: capturing relevance, diversity and prestige in information networks. - Pan Du 001; Jiafeng Guo; Xueqi Cheng (SIGIR, 2011)

Decayed DivRank for Guided Summarization. - Pan Du 001; Jipeng Yuan; Xianghui Lin; Jin Zhang 029; Jiafeng Guo; Xueqi Cheng (TAC, 2011)

ICTNET at Microblog Track TREC 2011. - Peng Cao; Jinhua Gao; Yubao Yu; Shenghua Liu; Yue Liu; Xueqi Cheng (TREC, 2011)

ICTNET at Web Track 2011 Ad-Hoc Track. - Heyuan Li; Yuanhai Xue; Xu Chen; Xiaoming Yu; Feng Guan; Yue Liu; Xueqi Cheng (TREC, 2011)

ICTNET at Entity ELC TREC 2011. - Bingyang Liu; Fan Yang; Lei Cao; Xueqi Cheng; Yue Liu; Hongbo Xu (TREC, 2011)

ICTNET at Web Track 2011 Diversity Track. - Shengxian Wan; Yuanhai Xue; Xiaoming Yu; Feng Guan; Yue Liu; Xueqi Cheng (TREC, 2011)

ICTNET at Session Track TREC 2011. - Mingxhuan Wei; Yuanhai Xue; Chen Xu; Xiaoming Yu; Yue Liu; Xueqi Cheng (TREC, 2011)

Bipartite Graph Based Entity Ranking for Related Entity Finding. - Lei Cao; Jiafeng Guo; Xueqi Cheng (Web Intelligence, 2011)

A probabilistic model for opinionated blog feed retrieval. - Xueke Xu; Tao Meng; Xueqi Cheng; Yue Liu (WWW (Companion Volume), 2011)

A unified framework for recommending diverse and relevant queries. - Xiaofei Zhu; Jiafeng Guo; Xueqi Cheng; Pan Du 001; Huawei Shen (WWW, 2011)

Modeling the clustering in citation networks - Fuxin Ren; Xueqi Cheng; Huawei Shen (CoRR, 2011)

Exploring the structural regularities in networks - Huawei Shen; Xueqi Cheng; Jiafeng Guo (CoRR, 2011)

Learning multiple metrics for ranking. - Xiubo Geng; Xueqi Cheng (Frontiers Comput. Sci. China, 2011)

Selecting optimal training data for learning to rank. - Xiubo Geng; Tao Qin 001; Tie-Yan Liu; Xueqi Cheng; Hang Li 001 (Inf. Process. Manag., 2011)

Exploring and Exploiting Proximity Statistic for Information Retrieval Model. - Yadong Zhu; Yuanhai Xue; Jiafeng Guo; Yanyan Lan; Xueqi Cheng; Xiaoming Yu (AIRS, 2012)

The Untold Story Behind the Recommendation in Micro-blogging Network. - Tong Man; Huawei Shen; Xueqi Cheng (CGC, 2012)

Analysis of Competitive Information Dissemination in Social Network Based on Evolutionary Game Model. - Jianye Yu; Yuanzhuo Wang; Jingyuan Li; Huawei Shen; Xueqi Cheng (CGC, 2012)

Effective and efficient?: bilingual sentiment lexicon extraction using collocation alignment. - Zheng Lin 001; Songbo Tan; Xueqi Cheng; Xueke Xu; Weisong Shi (CIKM, 2012)

A new probabilistic model for top-k ranking problem. - Shuzi Niu; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (CIKM, 2012)

Towards jointly extracting aspects and aspect-specific sentiment knowledge. - Xueke Xu; Songbo Tan; Yue Liu; Xueqi Cheng; Zheng Lin 001 (CIKM, 2012)

Clustering short text using Ncut-weighted non-negative matrix factorization. - Xiaohui Yan; Jiafeng Guo; Shenghua Liu; Xueqi Cheng; Yanfeng Wang (CIKM, 2012)

More than relevance: high utility query recommendation by mining users' search behaviors. - Xiaofei Zhu; Jiafeng Guo; Xueqi Cheng; Yanyan Lan (CIKM, 2012)

Using WordNet-Based Neighborhood for Improving Social Tag Recommendation. - Ya-Tao Zhu; Shenghua Liu; Xueqi Cheng; Yue Liu; Yuanzhuo Wang; Jin-Gang Liu (ICIC (2), 2012)

Finding Topic-Related Tweets Using Conversational Thread. - Peng Cao; Shenghua Liu; Jinhua Gao; Huawei Shen; Jingyuan Li; Yue Liu; Xueqi Cheng (IIP, 2012)

Analyzing application private information leaks with privacy Petri Net. - Lejun Fan; Yuanzhuo Wang; Xueqi Cheng; Jinming Li (ISCC, 2012)

Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space. - Yanyan Lan; Jiafeng Guo; Xueqi Cheng; Tie-Yan Liu (NIPS, 2012)

Privacy Theft Malware Detection with Privacy Petri Net. - Lejun Fan; Yuanzhuo Wang; Xueqi Cheng; Shuyuan Jin (PDCAT, 2012)

Top-k learning to rank: labeling, ranking and evaluation. - Shuzi Niu; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (SIGIR, 2012)

ICTNET at Session Track TREC 2012. - Zhenhong Chen; Mingchuan Wei; Junxiao Nan; Jun Chen; Xiaoming Yu; Yue Liu; Xueqi Cheng (TREC, 2012)

ICTNET at Web Track 2012 Diversity Task. - Zilong Feng; Yuanhai Xue; Xiaoming Yu; Hongbo Xu; Yue Liu; Xueqi Cheng (TREC, 2012)

ICTNET at Web Track 2012 adhoc Task. - Heyuan Li; Yuanhai Xue; Shaohua Guo; Feng Guan; Xiaoming Yu; Yue Liu; Xueqi Cheng (TREC, 2012)

ICTNET at Context Suggestion Track TREC 2012. - Bingyang Liu; Tong Wu; Xianghui Lin; Yanqin Zhong; Qian Liu; Yue Liu; Xueqi Cheng (TREC, 2012)

ICTNET at Microblog Track TREC 2012. - Bolong Zhu; Jinghua Gao; Xiao Han; Cunhui Shi; Shenghua Liu; Yue Liu; Xueqi Cheng (TREC, 2012)

A Fast and Accurate Method for Bilingual Opinion Lexicon Extraction. - Zheng Lin 001; Songbo Tan; Xueqi Cheng (Web Intelligence, 2012)

Exploring social influence via posterior effect of word-of-mouth recommendations. - Junming Huang 001; Xueqi Cheng; Huawei Shen; Tao Zhou 001; Xiaolong Jin 001 (WSDM, 2012)

Find me opinion sources in blogosphere: a unified framework for opinionated blog feed retrieval. - Xueke Xu; Songbo Tan; Yue Liu; Xueqi Cheng; Zheng Lin 001; Jiafeng Guo (WSDM, 2012)

Conquering the rating bound problem in neighborhood-based collaborative filtering: a function recovery approach - Junming Huang 001; Xueqi Cheng; Huawei Shen; Xiaoming Sun 001; Tao Zhou 001; Xiaolong Jin 001 (CoRR, 2012)

Static greedy: solving the apparent scalability-accuracy dilemma in influence maximization - Suqi Cheng; Huawei Shen; Junming Huang 001; Guoqing Zhang 001; Xueqi Cheng (CoRR, 2012)

Mobile social networks: state-of-the-art and a new vision. - Kun Yang 001; Xueqi Cheng; Liang Hu 001; Jianming Zhang 003 (Int. J. Commun. Syst., 2012)

Special Issue on: Interdisciplinary and cross-layer design of mobile social networks and wireless networks. - Kun Yang 001; Xueqi Cheng; Giovanni Pau 001 (Int. J. Commun. Syst., 2012)

Stochastic game net and applications in security analysis for enterprise network. - Yuanzhuo Wang; Min Yu 001; Jingyuan Li 002; Kun Meng; Chuang Lin 002; Xueqi Cheng (Int. J. Inf. Sec., 2012)

A noise-tolerant graphical model for ranking. - Xiubo Geng; Tao Qin 001; Tie-Yan Liu; Xueqi Cheng (Inf. Process. Manag., 2012)

A Dimensionality Reduction Framework for Detection of Multiscale Structure in Heterogeneous Networks. - Huawei Shen; Xueqi Cheng; Yuanzhuo Wang; Yixin Chen 001 (J. Comput. Sci. Technol., 2012)

Providing hierarchical lookup service for P2P-VoD systems. - Tieying Zhang; Xueqi Cheng; Jianming Lv; Zhenhua Li 001; Weisong Shi (ACM Trans. Multim. Comput. Commun. Appl., 2012)

StaticGreedy: solving the scalability-accuracy dilemma in influence maximization. - Suqi Cheng; Huawei Shen; Junming Huang 001; Guoqing Zhang 001; Xueqi Cheng (CIKM, 2013)

Is top-k sufficient for ranking? - Yanyan Lan; Shuzi Niu; Jiafeng Guo; Xueqi Cheng (CIKM, 2013)

Adaptive co-training SVM for sentiment classification on tweets. - Shenghua Liu; Fuxin Li; Fangtao Li; Xueqi Cheng; Huawei Shen (CIKM, 2013)

Recommending High Utility Query via Session-Flow Graph. - Xiaofei Zhu; Jiafeng Guo; Xueqi Cheng; Yanyan Lan; Wolfgang Nejdl (ECIR, 2013)

A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization. - Yadong Zhu; Yanyan Lan; Jiafeng Guo; Pan Du 001; Xueqi Cheng (ICDM, 2013)

A Self-learning Template Approach for Recognizing Named Entities from Web Text. - Qian Liu; Bingyang Liu; Dayong Wu; Yue Liu; Xueqi Cheng (IJCNLP, 2013)

Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix. - Xueqi Cheng; Jiafeng Guo; Shenghua Liu; Yanfeng Wang; Xiaohui Yan (SDM, 2013)

Collaborative factorization for recommender systems. - Chaosheng Fan; Yanyan Lan; Jiafeng Guo; Zuoquan Lin; Xueqi Cheng (SIGIR, 2013)

Informational friend recommendation in social media. - Shengxian Wan; Yanyan Lan; Jiafeng Guo; Chaosheng Fan; Xueqi Cheng (SIGIR, 2013)

ICTNET at Session Track TREC 2013. - Zhenhong Chen; Long Xia; Xiaoming Yu; Yue Liu; Xueqi Cheng (TREC, 2013)

ICTNET at Microblog Track in TREC 2013. - Jinhua Gao; Guoxin Cui; Shenghua Liu; Yue Liu; Xueqi Cheng (TREC, 2013)

ICTNET at Federated Web Search Track 2013. - Feng Guan; Yuanhai Xue; Xiaoming Yu; Yue Liu; Xueqi Cheng (TREC, 2013)

ICTNET at Temporal Summarization Track TREC 2013. - Qian Liu; Yue Liu; Dayong Wu; Xueqi Cheng (TREC, 2013)

ICTNET at Context Suggestion Track TREC 2013. - Bingyang Liu; Yanqin Zhong; Yue Liu; Dayong Wu; Xueqi Cheng (TREC, 2013)

ICTNET at Web Track 2013. - Yuanhai Xue; Feng Guan; Xiaoming Yu; Yue Liu; Xueqi Cheng (TREC, 2013)

Stochastic Rank Aggregation. - Shuzi Niu; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (UAI, 2013)

A Blending Method for Automated Social Tagging. - Shenghua Liu; Ya-Tao Zhu; Jiafeng Guo; Yuanzhuo Wang; Xueqi Cheng (Web Intelligence, 2013)

Group sparse topical coding: from code to topic. - Lu Bai; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (WSDM, 2013)

Popularity prediction in microblogging network: a case study on sina weibo. - Peng Bao; Huawei Shen; Junming Huang 001; Xueqi Cheng (WWW (Companion Volume), 2013)

Structural-interaction link prediction in microblogs. - Yantao Jia; Yuanzhuo Wang; Jingyuan Li; Kai Feng; Xueqi Cheng; Jianchen Li (WWW (Companion Volume), 2013)

Co-training and visualizing sentiment evolvement for tweet events. - Shenghua Liu; Wenjun Zhu; Ning Xu 006; Fangtao Li; Xueqi Cheng; Yue Liu; Yuanzhuo Wang (WWW (Companion Volume), 2013)

A biterm topic model for short texts. - Xiaohui Yan; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (WWW, 2013)

Cumulative Effect in Information Diffusion: A Comprehensive Empirical Study on Microblogging Network. - Peng Bao; Huawei Shen; Wei Chen 013; Xueqi Cheng (CoRR, 2013)

Temporal scaling in information propagations. - Junming Huang 001; Chao Li; Wen-Qiang Wang; Huawei Shen; Xueqi Cheng (CoRR, 2013)

Learning influence and susceptibility from information cascade. - Yongqing Wang 005; Huawei Shen; Xueqi Cheng (CoRR, 2013)

Modelling priority queuing systems with varying service capacity. - Mei Chen; Xiaolong Jin 001; Yuanzhuo Wang; Xueqi Cheng; Geyong Min (Frontiers Comput. Sci., 2013)

A Routing Protocol based on Temporal-awareness Ordered-MPR for Dynamic Wireless Multi-hop Mobile Networks. - Li Wang 014; Yanyan Pei; Biao Lian; Weili Wu 001; Xueqi Cheng (J. Networks, 2013)

Modeling and security analysis of enterprise network using attack-defense stochastic game Petri nets. - Yuanzhuo Wang; Jingyuan Li 002; Kun Meng; Chuang Lin 002; Xueqi Cheng (Secur. Commun. Networks, 2013)

Ranking on Data Manifold with Sink Points. - Xueqi Cheng; Pan Du 001; Jiafeng Guo; Xiaofei Zhu; Yixin Chen 001 (IEEE Trans. Knowl. Data Eng., 2013)

Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure. - Shenghua Liu; Xueqi Cheng; Fangtao Li (AAAI, 2014)

Extended HMM and Ranking Models for Chinese Spelling Correction. - Jinhua Xiong; Qiao Zhang; Jianpeng Hou; Qianbo Wang; Yuanzhuo Wang; Xueqi Cheng (CIPS-SIGHAN, 2014)

Name Disambiguation by Collective Classification. - Zhongxiang Chen; Jiafeng Guo; Yanyan Lan; Lei Cao; Xueqi Cheng (AIRS, 2014)

OpenKN: An open knowledge computational engine for network big data. - Yantao Jia; Yuanzhuo Wang; Xueqi Cheng; Xiaolong Jin 001; Jiafeng Guo (ASONAM, 2014)

Populating knowledge base with collective entity mentions: A graph-based approach. - Hailun Lin; Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xiaojing Li; Xueqi Cheng (ASONAM, 2014)

A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis. - Zheng Lin 001; Xiaolong Jin 001; Xueke Xu; Weiping Wang 005; Xueqi Cheng; Yuanzhuo Wang (CIKM, 2014)

Local Linear Matrix Factorization for Document Modeling. - Lu Bai; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (ECIR, 2014)

Social evolutionary games. - Jianye Yu; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (GAMENETS, 2014)

Ranking Tweets with Local and Global Consistency Using Rich Features. - Zhankun Huang; Shenghua Liu; Pan Du; Xueqi Cheng (PAKDD (1), 2014)

IMRank: influence maximization via finding self-consistent ranking. - Suqi Cheng; Huawei Shen; Junming Huang 001; Wei Chen 013; Xueqi Cheng (SIGIR, 2014)

What makes data robust: a data analysis in learning to rank. - Shuzi Niu; Yanyan Lan; Jiafeng Guo; Xueqi Cheng; Xiubo Geng (SIGIR, 2014)

Learning for search result diversification. - Yadong Zhu; Yanyan Lan; Jiafeng Guo; Xueqi Cheng; Shuzi Niu (SIGIR, 2014)

ICTNET at Temporal Summarization Track TREC 2014. - Lei Chen; Hainan Zhang; Siying Li; Zhiyuan Ji; Qian Liu; Yue Liu; Dayong Wu; Xueqi Cheng (TREC, 2014)

ICTNET at Microblog Track in TREC 2014. - Guoxin Cui; Fabin Shi; Xiaolei Liu; Xiaobo Hao; Xueke Xu; Yue Liu; Xueqi Cheng (TREC, 2014)

ICTNET at Federated Web Search Track 2014. - Feng Guan; Shuiyuan Zhang; Chunmei Liu; Xiaoming Yu; Yue Liu; Xueqi Cheng (TREC, 2014)

ICTNET at Context Suggestion Track TREC 2014. - Zihao Lu; Zhijie Qiu; Liang Chang; Bingyang Liu; Dayong Wu; Yue Liu; Xueqi Cheng (TREC, 2014)

ICTNET at Session Track TREC2014. - Yuanhai Xue; Guoxin Cui; Xiaoming Yu; Yue Liu; Xueqi Cheng (TREC, 2014)

ICTNET at Web Track TREC2014. - Yuanhai Xue; Xiaoming Yu; Feng Guan; Xi-Peng Li; Man Du; Yue Liu; Xueqi Cheng (TREC, 2014)

Position-Aware ListMLE: A Sequential Learning Process for Ranking. - Yanyan Lan; Yadong Zhu; Jiafeng Guo; Shuzi Niu; Xueqi Cheng (UAI, 2014)

TSBM: The Temporal-Spatial Bayesian Model for Location Prediction in Social Networks. - Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (WI-IAT (1), 2014)

Make It Possible: Multilingual Sentiment Analysis without Much Prior Knowledge. - Zheng Lin 001; Xiaolong Jin 001; Xueke Xu; Yuanzhuo Wang; Songbo Tan; Xueqi Cheng (WI-IAT (1), 2014)

Extracting Attributes and Synonymous Attributes from Online Encyclopedias. - Qian Liu; Dayong Wu; Yue Liu; Xueqi Cheng (WI-IAT (2), 2014)

Identifying Interaction Groups in Social Network Using a Game-Theoretic Approach. - Jianye Yu; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (WI-IAT (1), 2014)

Evolutionary analysis on online social networks using a social evolutionary game. - Jianye Yu; Yuanzhuo Wang; Xiaolong Jin 001; Jingyuan Li; Xueqi Cheng (WWW (Companion Volume), 2014)

PACOM: Parasitic anonymous communication in the BitTorrent network. - Jianming Lv; Tieying Zhang; Zhenhua Li 001; Xueqi Cheng (Comput. Networks, 2014)

Prediction of "Forwarding Whom" Behavior in Information Diffusion. - Peng Bao; Huawei Shen; Xueqi Cheng (CoRR, 2014)

BTM: Topic Modeling over Short Texts. - Xueqi Cheng; Xiaohui Yan; Yanyan Lan; Jiafeng Guo (IEEE Trans. Knowl. Data Eng., 2014)

The Impact of Heterogeneous Spreading Abilities of Network Ties on Information Spreading. - Chengeng Ou; Xiaolong Jin 001; Yuanzhuo Wang; Wei Chen 013; Xueqi Cheng (CIT/IUCC/DASC/PICom, 2015)

Learning User-Specific Latent Influence and Susceptibility from Information Cascades. - Yongqing Wang 005; Huawei Shen; Shenghua Liu; Xueqi Cheng (AAAI, 2015)

A Probabilistic Model for Bursty Topic Discovery in Microblogs. - Xiaohui Yan; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (AAAI, 2015)

Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations. - Fei Sun 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (ACL (1), 2015)

An Ensemble Matchers Based Rank Aggregation Method for Taxonomy Matching. - Hailun Lin; Yuanzhuo Wang; Yantao Jia; Jinhua Xiong; Peng Zhang; Xueqi Cheng (APWeb, 2015)

Context-Adaptive Matrix Factorization for Multi-Context Recommendation. - Tong Man; Huawei Shen; Junming Huang 001; Xueqi Cheng (CIKM, 2015)

Modeling Parameter Interactions in Ranking SVM. - Yaogong Zhang; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Maoqiang Xie; Yalou Huang; Xueqi Cheng (CIKM, 2015)

Improve Network Clustering via Diversified Ranking. - Bing-Jie Sun; Huawei Shen; Xueqi Cheng (CSoNet, 2015)

Automatic Detection of Rumor on Social Network. - Qiao Zhang; Shuiyuan Zhang; Jian Dong; Jinhua Xiong; Xueqi Cheng (NLPCC, 2015)

Next Basket Recommendation with Neural Networks. - Shengxian Wan; Yanyan Lan; Pengfei Wang 009; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (RecSys Posters, 2015)

Learning Hierarchical Representation Model for NextBasket Recommendation. - Pengfei Wang 009; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Shengxian Wan; Xueqi Cheng (SIGIR, 2015)

Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures. - Long Xia; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (SIGIR, 2015)

OpenKN at TAC KBP 2015. - Xinlei Chen; Yantao Jia; Yuanzhuo Wang; Yuxiao Chang; Manling Li; Xueqi Cheng (TAC, 2015)

Listwise Approach for Rank Aggregation in Crowdsourcing. - Shuzi Niu; Yanyan Lan; Jiafeng Guo; Xueqi Cheng; Lei Yu 012; Guoping Long (WSDM, 2015)

Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes. - Peng Bao; Huawei Shen; Xiaolong Jin 001; Xueqi Cheng (WWW (Companion Volume), 2015)

Significance and Challenges of Big Data Research. - Xiaolong Jin 001; Benjamin W. Wah; Xueqi Cheng; Yuanzhuo Wang (Big Data Res., 2015)

Structural Learning of Diverse Ranking. - Yadong Zhu; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (CoRR, 2015)

Topic-focused Dynamic Information Filtering in Social Media. - Yadong Zhu; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (CoRR, 2015)

HANSpeller: A Unified Framework for Chinese Spelling Correction. - Jinhua Xiong; Qiao Zhang; Shuiyuan Zhang; Jianpeng Hou; Xueqi Cheng (Int. J. Comput. Linguistics Chin. Lang. Process., 2015)

Which noise affects algorithm robustness for learning to rank. - Shuzi Niu; Yanyan Lan; Jiafeng Guo; Shengxian Wan; Xueqi Cheng (Inf. Retr. J., 2015)

Privacy Petri Net and Privacy Leak Software. - Lejun Fan; Yuanzhuo Wang; Jingyuan Li 002; Xueqi Cheng; Chuang Lin 002 (J. Comput. Sci. Technol., 2015)

Learning to Predict Links by Integrating Structure and Interaction Information in Microblogs. - Yantao Jia; Yuanzhuo Wang; Xueqi Cheng (J. Comput. Sci. Technol., 2015)

Special issue on recent advances in network and information security - security and communication networks journal. - Xueqi Cheng; Jinhong Yuan; Ali Tajer; Aiqun Hu; Wanlei Zhou 001 (Secur. Commun. Networks, 2015)

Privacy theft malware multi-process collaboration analysis. - Lejun Fan; Yuanzhuo Wang; Xueqi Cheng; Jinming Li; Shuyuan Jin (Secur. Commun. Networks, 2015)

TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets. - Shenghua Liu; Xueqi Cheng; Fuxin Li; Fangtao Li (IEEE Trans. Knowl. Data Eng., 2015)

Locally Adaptive Translation for Knowledge Graph Embedding. - Yantao Jia; Yuanzhuo Wang; Hailun Lin; Xiaolong Jin 001; Xueqi Cheng (AAAI, 2016)

Predicting Links and Their Building Time: A Path-Based Approach. - Manling Li; Yantao Jia; Yuanzhuo Wang; Zeya Zhao; Xueqi Cheng (AAAI, 2016)

SPAN: Understanding a Question with Its Support Answers. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (AAAI, 2016)

Text Matching as Image Recognition. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Shengxian Wan; Xueqi Cheng (AAAI, 2016)

Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. - Fei Sun 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (AAAI, 2016)

A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. - Shengxian Wan; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Liang Pang; Xueqi Cheng (AAAI, 2016)

Factorizing Sequential and Historical Purchase Data for Basket Recommendation. - Pengfei Wang 009; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (AIRS, 2016)

The Competition of User Attentions Among Social Network Services: A Social Evolutionary Game Approach. - Jingyuan Li; Yuanzhuo Wang; Yuan Lu; Xueqi Cheng; Yan Ren (APWeb (1), 2016)

Ease the Process of Machine Learning with Dataflow. - Tianyou Guo; Jun Xu 001; Xiaohui Yan; Jianpeng Hou; Ping Li; Zhaohui Li; Jiafeng Guo; Xueqi Cheng (CIKM, 2016)

Multi-task Representation Learning for Demographic Prediction. - Pengfei Wang 009; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (ECIR, 2016)

Predict Anchor Links across Social Networks via an Embedding Approach. - Tong Man; Huawei Shen; Shenghua Liu; Xiaolong Jin 001; Xueqi Cheng (IJCAI, 2016)

Sparse Word Embeddings Using ℓ1 Regularized Online Learning. - Fei Sun 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (IJCAI, 2016)

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. - Shengxian Wan; Yanyan Lan; Jun Xu 001; Jiafeng Guo; Liang Pang; Xueqi Cheng (IJCAI, 2016)

An ensemble method for job recommender systems. - Chenrui Zhang; Xueqi Cheng (RecSys Challenge, 2016)

Modeling Document Novelty with Neural Tensor Network for Search Result Diversification. - Long Xia; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (SIGIR, 2016)

Learning Cost-Effective Social Embedding for Cascade Prediction. - Wei Liu; Huawei Shen; Wentao Ouyang; Ge Fu; Li Zha; Xueqi Cheng (SMP, 2016)

OpenKN at TAC KBP 2016. - Manling Li; Xinlei Chen; Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Zixuan Li 001; Juan Yao; Fan Yang; Yunqi Qiu; Jialin Su; Xueqi Cheng (TAC, 2016)

Your Cart tells You: Inferring Demographic Attributes from Purchase Data. - Pengfei Wang 009; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (WSDM, 2016)

Aspect-Specific Sentimental Word Embedding for Sentiment Analysis of Online Reviews. - Hui Du; Xueke Xu; Xueqi Cheng; Dayong Wu; Yue Liu; Zhihua Yu (WWW (Companion Volume), 2016)

Modeling and Predicting Retweeting Dynamics via a Mixture Process. - Jinhua Gao; Huawei Shen; Shenghua Liu; Xueqi Cheng (WWW (Companion Volume), 2016)

Hierarchy-Based Link Prediction in Knowledge Graphs. - Manling Li; Yantao Jia; Yuanzhuo Wang; Jingyuan Li; Xueqi Cheng (WWW (Companion Volume), 2016)

Learning Sentimental Influences from Users' Behaviors. - Shenghua Liu; Houdong Zheng; Huawei Shen; Xiangwen Liao; Xueqi Cheng (CoRR, 2016)

A Study of MatchPyramid Models on Ad-hoc Retrieval. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (CoRR, 2016)

Semantic Regularities in Document Representations. - Fei Sun 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (CoRR, 2016)

Scientific credit diffusion: Researcher level or paper level? - Hao Wang; Huawei Shen; Xueqi Cheng (Scientometrics, 2016)

An Unsupervised Cross-Lingual Topic Model Framework for Sentiment Classification. - Zheng Lin 001; Xiaolong Jin 001; Xueke Xu; Yuanzhuo Wang; Xueqi Cheng; Weiping Wang 005; Dan Meng 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Location Prediction: A Temporal-Spatial Bayesian Model. - Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (ACM Trans. Intell. Syst. Technol., 2016)

An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts. - Liang Bai; Xueqi Cheng; Jiye Liang; Huawei Shen (IEEE Trans. Knowl. Data Eng., 2016)

Locally Smoothed Neural Networks. - Liang Pang; Yanyan Lan; Jun Xu 001; Jiafeng Guo; Xueqi Cheng (ACML, 2017)

Academic Access Data Analysis for Literature Recommendation. - Yixing Fan; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (CCIR, 2017)

Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile. - Hainan Zhang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (CCIR, 2017)

DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. - Qi Cao; Huawei Shen; Keting Cen; Wentao Ouyang; Xueqi Cheng (CIKM, 2017)

Learning Visual Features from Snapshots for Web Search. - Yixing Fan; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Liang Pang; Xueqi Cheng (CIKM, 2017)

Truth Discovery by Claim and Source Embedding. - Shanshan Lyu; Wentao Ouyang; Huawei Shen; Xueqi Cheng (CIKM, 2017)

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Jingfang Xu; Xueqi Cheng (CIKM, 2017)

A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. - Bing-Jie Sun; Huawei Shen; Jinhua Gao; Wentao Ouyang; Xueqi Cheng (CIKM, 2017)

Self-Learning and Embedding Based Entity Alignment. - Saiping Guan; Xiaolong Jin 001; Yantao Jia; Yuanzhuo Wang; Huawei Shen; Xueqi Cheng (ICBK, 2017)

Relation Classification via Target-Concentrated Attention CNNs. - Jizhao Zhu; Jianzhong Qiao; Xinxiao Dai; Xueqi Cheng (ICONIP (2), 2017)

Learning Concise Representations of Users' Influences through Online Behaviors. - Shenghua Liu; Houdong Zheng; Huawei Shen; Xueqi Cheng; Xiangwen Liao (IJCAI, 2017)

Cross-Domain Recommendation: An Embedding and Mapping Approach. - Tong Man; Huawei Shen; Xiaolong Jin 001; Xueqi Cheng (IJCAI, 2017)

Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. - Yongqing Wang 005; Huawei Shen; Shenghua Liu; Jinhua Gao; Xueqi Cheng (IJCAI, 2017)

Gbot at the NTCIR-13 STC-2 Task. - Hainan Zhang; Tonglei Guo; Yanyan Lan; Jiafeng Guo; Jianing Li; Xueqi Cheng (NTCIR, 2017)

Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification. - Yahui Liu; Xiaolong Jin 001; Huawei Shen; Xueqi Cheng (PAKDD (1), 2017)

Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. - Yongqing Wang 005; Shenghua Liu; Huawei Shen; Jinhua Gao; Xueqi Cheng (PAKDD (1), 2017)

Reinforcement Learning to Rank with Markov Decision Process. - Zheng Wei; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (SIGIR, 2017)

Adapting Markov Decision Process for Search Result Diversification. - Long Xia; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Wei Zeng 008; Xueqi Cheng (SIGIR, 2017)

ICTNET at TREC 2017 Common Core Track. - Xu Chang; Liying Jiao; Jinlong Liu; Weijian Zhu; Yuanhai Xue; Li Zha; Yue Liu; Xueqi Cheng (TREC, 2017)

ICTNET at TREC2017 Complex Answer Retrieval Track. - Rui Cheng 005; Xiaomin Zhuang; Hao Yan; Yuanhai Xue; Zhihua Yu; Yue Liu; Xueqi Cheng (TREC, 2017)

ICTNET at TREC 2017 Real-Time Summarization Track. - Xiao Wang; Pengcheng Fan; Liang Cheng; Guoliang Xing; Zhihua Yu; Xueqi Cheng (TREC, 2017)

ICTNET at TREC2017 OpenSearch Track. - Peng Xu; Long Bai 002; Suiyuan Zhang; Fang Yang; Zhibin Zhang; Xiaoming Yu; Xiaolong Jin 001; Xueqi Cheng (TREC, 2017)

ICTNET at TREC 2017 Dynamic Domain Track. - Weimin Zhang; Yaokang Hu; Rongqian Jia; Xianfa Wang; Le Zhang; Yue Feng; Sihao Yu; Yuanhai Xue; Xiaoming Yu; Yue Liu; Xueqi Cheng (TREC, 2017)

Efficient parallel translating embedding for knowledge graphs. - Denghui Zhang; Manling Li; Yantao Jia; Yuanzhuo Wang; Xueqi Cheng (WI, 2017)

Coarse to Fine: Diffusing Categories in Wikipedia. - Pengshan Cai; Yansong Feng 002; Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (WWW (Companion Volume), 2017)

Predicting the Popularity of Online Content with Group-specific Models. - Qi Cao; Huawei Shen; Hao Gao 009; Jinhua Gao; Xueqi Cheng (WWW (Companion Volume), 2017)

Relative influence maximization in competitive social networks. - Dingda Yang; Xiangwen Liao; Huawei Shen; Xueqi Cheng; Guolong Chen (Sci. China Inf. Sci., 2017)

MatchZoo: A Toolkit for Deep Text Matching. - Yixing Fan; Liang Pang; Jianpeng Hou; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (CoRR, 2017)

A Deep Investigation of Deep IR Models. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (CoRR, 2017)

Marked Temporal Dynamics Modeling based on Recurrent Neural Network. - Yongqing Wang 005; Shenghua Liu; Huawei Shen; Xueqi Cheng (CoRR, 2017)

EagleMine: Vision-Guided Mining in Large Graphs. - Wenjie Feng 001; Shenghua Liu; Christos Faloutsos; Bryan Hooi; Huawei Shen; Xueqi Cheng (CoRR, 2017)

Modeling users' search sessions for high utility query recommendation. - Jiafeng Guo; Xiaofei Zhu; Yanyan Lan; Xueqi Cheng (Inf. Retr. J., 2017)

Fast graph clustering with a new description model for community detection. - Liang Bai; Xueqi Cheng; Jiye Liang; Yike Guo (Inf. Sci., 2017)

开放知识库构建技术的多维量化评价方法 (Multi-dimensional Quantitative Evaluation Method of Open Knowledge Base Construction Technology). - Xinlei Chen; Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (计算机科学, 2017)

Crowd intelligence in AI 2.0 era. - Wei Li 022; Wenjun Wu 001; Huaimin Wang; Xueqi Cheng; Huajun Chen; Zhi-Hua Zhou; Rong Ding (Frontiers Inf. Technol. Electron. Eng., 2017)

Fast density clustering strategies based on the k-means algorithm. - Liang Bai; Xueqi Cheng; Jiye Liang; Huawei Shen; Yike Guo (Pattern Recognit., 2017)

Modelling heterogeneous information spreading abilities of social network ties. - Chengeng Ou; Xiaolong Jin 001; Yuanzhuo Wang; Xueqi Cheng (Simul. Model. Pract. Theory, 2017)

Link Inference in Dynamic Heterogeneous Information Network: A Knapsack-Based Approach. - Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Zeya Zhao; Xueqi Cheng (IEEE Trans. Comput. Soc. Syst., 2017)

Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification. - Jun Xu 001; Long Xia; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (ACM Trans. Intell. Syst. Technol., 2017)

Towards Efficient Detection of Overlapping Communities in Massive Networks. - Bing-Jie Sun; Huawei Shen; Jinhua Gao; Wentao Ouyang; Xueqi Cheng (AAAI, 2018)

Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. - Yan Xiao; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (AAAI, 2018)

Tailored Sequence to Sequence Models to Different Conversation Scenarios. - Hainan Zhang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (ACL (1), 2018)

Learning to Control the Specificity in Neural Response Generation. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Jun Xu 001; Xueqi Cheng (ACL (1), 2018)

Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention. - Yue Zhao; Xiaolong Jin 001; Yuanzhuo Wang; Xueqi Cheng (ACL (2), 2018)

RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching. - Lijuan Chen; Yanyan Lan; Liang Pang; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (AIRS, 2018)

A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval. - Tonglei Guo; Jiafeng Guo; Yixing Fan; Yanyan Lan; Jun Xu 001; Xueqi Cheng (CCIR, 2018)

Text Matching with Monte Carlo Tree Search. - Yixuan He; Shuchang Tao; Jun Xu 001; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (CCIR, 2018)

Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension. - Zhaohui Li; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Yue Feng; Xueqi Cheng (CCIR, 2018)

Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks. - Shanshan Lyu; Wentao Ouyang; Huawei Shen; Xueqi Cheng (CCIR, 2018)

A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval. - Zhou Yang 012; Qingfeng Lan; Jiafeng Guo; Yixing Fan; Xiaofei Zhu; Yanyan Lan; Yue Wang; Xueqi Cheng (CCIR, 2018)

Generative Paragraph Vector. - Ruqing Zhang 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (CCIR, 2018)

Shared Embedding Based Neural Networks for Knowledge Graph Completion. - Saiping Guan; Xiaolong Jin 001; Yuanzhuo Wang; Xueqi Cheng (CIKM, 2018)

Neighborhood Voting: A Novel Search Scheme for Hashing. - Yan Xiao; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (CIKM, 2018)

Question Headline Generation for News Articles. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Jun Xu 001; Huanhuan Cao; Xueqi Cheng (CIKM, 2018)

ULE: Learning User and Location Embeddings for POI Recommendation. - Hao Wang; Wentao Ouyang; Huawei Shen; Xueqi Cheng (DSC, 2018)

Spherical Paragraph Model. - Ruqing Zhang 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (ECIR, 2018)

Aggregating Neural Word Embeddings for Document Representation. - Ruqing Zhang 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (ECIR, 2018)

Exploiting Contextual Information via Dynamic Memory Network for Event Detection. - Shaobo Liu; Rui Cheng 005; Xiaoming Yu; Xueqi Cheng (EMNLP, 2018)

Path Reasoning over Knowledge Graph: A Multi-agent and Reinforcement Learning Based Method. - Zixuan Li 001; Xiaolong Jin 001; Saiping Guan; Yuanzhuo Wang; Xueqi Cheng (ICDM Workshops, 2018)

Model-free Knockoffs for SLOPE-Adaptive Variable Selection with Controlled False Discovery Rate. - Mahammad Humayoo; Xueqi Cheng (ICPR, 2018)

MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. - Guoxin Cui; Jun Xu 001; Wei Zeng 008; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (ICTIR, 2018)

Multi Page Search with Reinforcement Learning to Rank. - Wei Zeng 008; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (ICTIR, 2018)

NeuCast: Seasonal Neural Forecast of Power Grid Time Series. - Pudi Chen; Shenghua Liu; Chuan Shi 001; Bryan Hooi; Bai Wang 001; Xueqi Cheng (IJCAI, 2018)

Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. - Hao Wang; Huawei Shen; Wentao Ouyang; Xueqi Cheng (IJCAI, 2018)

Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. - Hainan Zhang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (IJCAI, 2018)

Efficient Sequence Learning with Group Recurrent Networks. - Fei Gao 018; Lijun Wu 003; Li Zhao 007; Tao Qin 001; Xueqi Cheng; Tie-Yan Liu (NAACL-HLT, 2018)

Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. - Yixing Fan; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Chengxiang Zhai; Xueqi Cheng (SIGIR, 2018)

From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. - Yue Feng; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Wei Zeng 008; Xueqi Cheng (SIGIR, 2018)

Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. - Sihao Yu; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (SIGIR, 2018)

Sequence Tagging with Policy-Value Networks and Tree Search. - Yadi Lao; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Sheng Gao 001; Xueqi Cheng (CoRR, 2018)

Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations. - Yan Xiao; Jiafeng Guo; Yixing Fan; Yanyan Lan; Jun Xu 001; Xueqi Cheng (CoRR, 2018)

Relative Importance Sampling For Off-Policy Actor-Critic in Deep Reinforcement Learning. - Mahammad Humayoo; Xueqi Cheng (CoRR, 2018)

Learning from context: A mutual reinforcement model for Chinese microblog opinion retrieval. - Jingjing Wei; Xiangwen Liao; Houdong Zheng; Guolong Chen; Xueqi Cheng (Frontiers Comput. Sci., 2018)

Modeling the Correlations of Relations for Knowledge Graph Embedding. - Jizhao Zhu; Yantao Jia; Jun Xu 001; Jianzhong Qiao; Xueqi Cheng (J. Comput. Sci. Technol., 2018)

Learning sequential features for cascade outbreak prediction. - Chengcheng Gou; Huawei Shen; Pan Du 001; Dayong Wu; Yue Liu; Xueqi Cheng (Knowl. Inf. Syst., 2018)

Path-specific knowledge graph embedding. - Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (Knowl. Based Syst., 2018)

Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach. - Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Hailun Lin; Xueqi Cheng (ACM Trans. Web, 2018)

Teaching Machines to Extract Main Content for Machine Reading Comprehension. - Zhaohui Li; Yue Feng; Jun Xu 001; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (AAAI, 2019)

Differentiated Distribution Recovery for Neural Text Generation. - Jianing Li; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Xueqi Cheng (AAAI, 2019)

HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. - Liang Pang; Yanyan Lan; Jiafeng Guo; Jun Xu 001; Lixin Su; Xueqi Cheng (AAAI, 2019)

An Adaptive Framework for Conversational Question Answering. - Lixin Su; Jiafeng Guo; Yixing Fan; Yanyan Lan; Ruqing Zhang 001; Xueqi Cheng (AAAI, 2019)

Soft Contextual Data Augmentation for Neural Machine Translation. - Fei Gao 018; Jinhua Zhu 001; Lijun Wu 003; Yingce Xia; Tao Qin 001; Xueqi Cheng; Wengang Zhou 001; Tie-Yan Liu (ACL (1), 2019)

ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. - Hainan Zhang; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (ACL (1), 2019)

Understanding and Improving Neural Ranking Models from a Term Dependence View. - Yixing Fan; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (AIRS, 2019)

Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias. - Jiangli Shao; Huawei Shen; Qi Cao; Xueqi Cheng (CCIR, 2019)

SilverChunk: An Efficient In-Memory Parallel Graph Processing System. - Tianqi Zheng; Zhibin Zhang; Xueqi Cheng (DEXA (2), 2019)

Event Detection with Multi-Order Graph Convolution and Aggregated Attention. - Haoran Yan; Xiaolong Jin 001; Xiangbin Meng; Jiafeng Guo; Xueqi Cheng (EMNLP/IJCNLP (1), 2019)

Signed Graph Attention Networks. - Junjie Huang; Huawei Shen; Liang Hou; Xueqi Cheng (ICANN (Workshop), 2019)

A High Performance Text Vector Similarity Search Method Based on Overlapping Degree. - Peng Zhao; Fan Yang; Zhibin Zhang; Jiafeng Guo; Xueqi Cheng (ICDM Workshops, 2019)

Graph Wavelet Neural Network. - Bingbing Xu 001; Huawei Shen; Qi Cao; Yunqi Qiu; Xueqi Cheng (ICLR (Poster), 2019)

Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. - Bingbing Xu 001; Huawei Shen; Qi Cao; Keting Cen; Xueqi Cheng (IJCAI, 2019)

BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. - Bin Zhou; Shenghua Liu; Bryan Hooi; Xueqi Cheng; Jing Ye (IJCAI, 2019)

Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. - Wenjie Feng 001; Shenghua Liu; Christos Faloutsos; Bryan Hooi; Huawei Shen; Xueqi Cheng (PAKDD (1), 2019)

EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation. - Jiabao Zhang; Shenghua Liu; Wenjian Yu; Wenjie Feng 001; Xueqi Cheng (PAKDD (2), 2019)

CatchCore: Catching Hierarchical Dense Subtensor. - Wenjie Feng 001; Shenghua Liu; Xueqi Cheng (ECML/PKDD (1), 2019)

MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. - Jiafeng Guo; Yixing Fan; Xiang Ji; Xueqi Cheng (SIGIR, 2019)

Controlling Risk of Web Question Answering. - Lixin Su; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (SIGIR, 2019)

Outline Generation: Understanding the Inherent Content Structure of Documents. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (SIGIR, 2019)

Semi-supervised Auto-encoder Based Event Detection in Constructing Knowledge Graph for Social Good. - Yue Zhao; Xiaolong Jin 001; Yuanzhuo Wang; Xueqi Cheng (WI, 2019)

Link Prediction on N-ary Relational Data. - Saiping Guan; Xiaolong Jin 001; Yuanzhuo Wang; Xueqi Cheng (WWW, 2019)

What We Vote for? Answer Selection from User Expertise View in Community Question Answering. - Shanshan Lyu; Wentao Ouyang; Yongqing Wang 005; Huawei Shen; Xueqi Cheng (WWW, 2019)

Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. - Yongqing Wang 005; Huawei Shen; Jinhua Gao; Xueqi Cheng (WWW, 2019)

Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends. - Guoxin Cui; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (IEEE Access, 2019)

Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. - Cheng Zhao; Zhibin Zhang; Peng Xu; Tianqi Zheng; Xueqi Cheng (CoRR, 2019)

A Graph Auto-Encoder for Attributed Network Embedding. - Keting Cen; Huawei Shen; Jinhua Gao; Qi Cao; Bingbing Xu 001; Xueqi Cheng (CoRR, 2019)

Coupled Graph Neural Networks for Predicting the Popularity of Online Content. - Qi Cao; Huawei Shen; Jinhua Gao; Bingzheng Wei; Xueqi Cheng (CoRR, 2019)

Parameter Estimation with the Ordered 𝓁2 Regularization via an Alternating Direction Method of Multipliers. - Mahammad Humayoo; Xueqi Cheng (CoRR, 2019)

Learning representations for quality estimation of crowdsourced submissions. - Shanshan Lyu; Wentao Ouyang; Huawei Shen; Xueqi Cheng (Inf. Process. Manag., 2019)

Self-learning and embedding based entity alignment. - Saiping Guan; Xiaolong Jin 001; Yuanzhuo Wang; Yantao Jia; Huawei Shen; Zixuan Li 001; Xueqi Cheng (Knowl. Inf. Syst., 2019)

CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors. - Shenghua Liu; Huawei Shen; Houdong Zheng; Xueqi Cheng; Xiangwen Liao (ACM Trans. Knowl. Discov. Data, 2019)

Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation. - Jun Xu 001; Wei Zeng 008; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (IEEE Trans. Knowl. Data Eng., 2019)

Entity Type Enhanced Neural Model for Distantly Supervised Relation Extraction (Student Abstract). - Long Bai 002; Xiaolong Jin 001; Chuanzhi Zhuang; Xueqi Cheng (AAAI, 2020)

FlowScope: Spotting Money Laundering Based on Graphs. - Xiangfeng Li; Shenghua Liu; Zifeng Li; Xiaotian Han; Chuan Shi 001; Bryan Hooi; He Huang; Xueqi Cheng (AAAI, 2020)

Link Prediction between Group Entities in Knowledge Graphs (Student Abstract). - Jialin Su; Yuanzhuo Wang; Xiaolong Jin 001; Yantao Jia; Xueqi Cheng (AAAI, 2020)

Structure Learning for Headline Generation. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (AAAI, 2020)

NeuInfer: Knowledge Inference on N-ary Facts. - Saiping Guan; Xiaolong Jin 001; Jiafeng Guo; Yuanzhuo Wang; Xueqi Cheng (ACL, 2020)

A Novel Dynamic User Admission Scheme for Multi-cell Massive MIMO Systems. - Shuai Ma 002; Easton Li Xu; Chun Du; Xueqi Cheng; Shiyin Li (BMSB, 2020)

Marabunta: Continuous Distributed Processing of Skewed Streams. - Bing Li; Zhibin Zhang; Tianqi Zheng; Qiaoling Zhong; Qun Huang 001; Xueqi Cheng (CCGRID, 2020)

Ranking Enhanced Dialogue Generation. - Changying Hao; Liang Pang; Yanyan Lan; Fei Sun 001; Jiafeng Guo; Xueqi Cheng (CIKM, 2020)

Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph. - Yunqi Qiu; Kun Zhang 041; Yuanzhuo Wang; Xiaolong Jin 001; Long Bai 002; Saiping Guan; Xueqi Cheng (CIKM, 2020)

Continual Domain Adaptation for Machine Reading Comprehension. - Lixin Su; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Yanyan Lan; Xueqi Cheng (CIKM, 2020)

Query Understanding via Intent Description Generation. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (CIKM, 2020)

Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings. - Yutao Zeng; Xiaolong Jin 001; Saiping Guan; Jiafeng Guo; Xueqi Cheng (COLING, 2020)

Dual Rejection Sampling for Wasserstein Auto-Encoders. - Liang Hou; Huawei Shen; Xueqi Cheng (ECAI, 2020)

Beyond Language: Learning Commonsense from Images for Reasoning. - Wanqing Cui; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (EMNLP (Findings), 2020)

Bursty Event Detection via Multichannel Feature Alignment. - Guangsheng Kuang; Yan Guo; Yue Liu; Liang Pang; Zhihua Yu; Xueqi Cheng; Jinlong Liu; Xiaoming Yu (ICBDC, 2020)

GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. - Hao Gao 009; Yongqing Wang 005; Shanshan Lyu; Huawei Shen; Xueqi Cheng (ICKG, 2020)

BaKGraSTeC: A Background Knowledge Graph Based Method for Short Text Classification. - Xuhui Jiang; Yinghan Shen; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (ICKG, 2020)

Dynamic Relation Extraction with A Learnable Temporal Encoding Method. - Yinghan Shen; Xuhui Jiang; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (ICKG, 2020)

On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. - Jianing Li; Yanyan Lan; Jiafeng Guo; Xueqi Cheng (ICML, 2020)

Evaluating Natural Language Generation via Unbalanced Optimal Transport. - Yimeng Chen; Yanyan Lan; Ruibin Xiong; Liang Pang; Zhiming Ma; Xueqi Cheng (IJCAI, 2020)

Modeling Users' Multifaceted Interest Correlation for Social Recommendation. - Hao Wang; Huawei Shen; Xueqi Cheng (PAKDD (1), 2020)

Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation. - Hao Wang; Huawei Shen; Xueqi Cheng (PAKDD (1), 2020)

SpecGreedy: Unified Dense Subgraph Detection. - Wenjie Feng 001; Shenghua Liu; Danai Koutra; Huawei Shen; Xueqi Cheng (ECML/PKDD (1), 2020)

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. - Liang Pang; Jun Xu 001; Qingyao Ai; Yanyan Lan; Xueqi Cheng; Jirong Wen (SIGIR, 2020)

Match²: A Matching over Matching Model for Similar Question Identification. - Zizhen Wang; Yixing Fan; Jiafeng Guo; Liu Yang 005; Ruqing Zhang 001; Yanyan Lan; Xueqi Cheng; Hui Jiang; Xiaozhao Wang (SIGIR, 2020)

Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. - Bingbing Xu 001; Junjie Huang; Liang Hou; Huawei Shen; Jinhua Gao; Xueqi Cheng (SIGIR, 2020)

Reinforcement Learning to Rank with Pairwise Policy Gradient. - Jun Xu 001; Zeng Wei; Long Xia; Yanyan Lan; Dawei Yin; Xueqi Cheng; Ji-Rong Wen (SIGIR, 2020)

L2R²: Leveraging Ranking for Abductive Reasoning. - Yunchang Zhu; Liang Pang; Yanyan Lan; Xueqi Cheng (SIGIR, 2020)

Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. - Qi Cao; Huawei Shen; Jinhua Gao; Bingzheng Wei; Xueqi Cheng (WSDM, 2020)

Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. - Lixin Su; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (WSDM, 2020)

L2R2: Leveraging Ranking for Abductive Reasoning. - Yunchang Zhu; Liang Pang; Yanyan Lan; Xueqi Cheng (CoRR, 2020)

Match2: A Matching over Matching Model for Similar Question Identification. - Zizhen Wang; Yixing Fan; Jiafeng Guo; Liu Yang 005; Ruqing Zhang 001; Yanyan Lan; Xueqi Cheng; Hui Jiang; Xiaozhao Wang (CoRR, 2020)

Adversarial Immunization for Improving Certifiable Robustness on Graphs. - Shuchang Tao; Huawei Shen; Qi Cao; Liang Hou; Xueqi Cheng (CoRR, 2020)

Summarizing graphs using the configuration model. - Houquan Zhou 002; Shenghua Liu; Kyuhan Lee; Kijung Shin; Huawei Shen; Xueqi Cheng (CoRR, 2020)

The Propagation Background in Social Networks: Simulating and Modeling. - Kai Li; Tong Xu 001; Shuai Feng; Lisheng Qiao; Hua-Wei Shen; Tian-yang Lv; Xueqi Cheng; En-Hong Chen (Int. J. Autom. Comput., 2020)

Online detection of anomaly behaviors based on multidimensional trajectories. - Xinlong Pan; Haipeng Wang; Xueqi Cheng; Xuan Peng; You He (Inf. Fusion, 2020)

A Deep Look into neural ranking models for information retrieval. - Jiafeng Guo; Yixing Fan; Liang Pang; Liu Yang 005; Qingyao Ai; Hamed Zamani; Chen Wu; W. Bruce Croft; Xueqi Cheng (Inf. Process. Manag., 2020)

Dual-factor Generation Model for Conversation. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (ACM Trans. Inf. Syst., 2020)

Sketch and Customize: A Counterfactual Story Generator. - Changying Hao; Liang Pang; Yanyan Lan; Yan Wang; Jiafeng Guo; Xueqi Cheng (AAAI, 2021)

Slimmable Generative Adversarial Networks. - Liang Hou; Zehuan Yuan; Lei Huang 015; Huawei Shen; Xueqi Cheng; Changhu Wang (AAAI, 2021)

SDGNN: Learning Node Representation for Signed Directed Networks. - Junjie Huang; Huawei Shen; Liang Hou; Xueqi Cheng (AAAI, 2021)

Learning to Truncate Ranked Lists for Information Retrieval. - Chen Wu; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (AAAI, 2021)

Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. - Bingbing Xu 001; Huawei Shen; Bing-Jie Sun; Rong An; Qi Cao; Xueqi Cheng (AAAI, 2021)

AugSplicing: Synchronized Behavior Detection in Streaming Tensors. - Jiabao Zhang; Shenghua Liu; Wenting Hou; Siddharth Bhatia 001; Huawei Shen; Wenjian Yu; Xueqi Cheng (AAAI, 2021)

Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. - Zixuan Li 001; Xiaolong Jin 001; Saiping Guan; Wei Li 176; Jiafeng Guo; Yuanzhuo Wang; Xueqi Cheng (ACL/IJCNLP (1), 2021)

Aligning Networks by Maximizing Topological Consistency Between Neighborhoods. - Boshen Shi; Yongqing Wang 005; Huawei Shen; Xueqi Cheng (Big Data (CCF), 2021)

UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation. - Hao Gao 009; Yongqing Wang 005; Jiangli Shao; Huawei Shen; Xueqi Cheng (IEEE BigData, 2021)

FedMatch: Federated Learning Over Heterogeneous Question Answering Data. - Jiangui Chen; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (CIKM, 2021)

Signed Bipartite Graph Neural Networks. - Junjie Huang; Huawei Shen; Qi Cao; Shuchang Tao; Xueqi Cheng (CIKM, 2021)

Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. - Liang Pang; Yanyan Lan; Xueqi Cheng (CIKM, 2021)

Locate Who You Are: Matching Geo-location to Text for User Identity Linkage. - Jiangli Shao; Yongqing Wang 005; Hao Gao 009; Huawei Shen; Yangyang Li; Xueqi Cheng (CIKM, 2021)

Single Node Injection Attack against Graph Neural Networks. - Shuchang Tao; Qi Cao; Huawei Shen; Junjie Huang; Yunfan Wu; Xueqi Cheng (CIKM, 2021)

Transformation Driven Visual Reasoning. - Xin Hong; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (CVPR, 2021)

Integrating Deep Event-Level and Script-Level Information for Script Event Prediction. - Long Bai 002; Saiping Guan; Jiafeng Guo; Zixuan Li 001; Xiaolong Jin 001; Xueqi Cheng (EMNLP (1), 2021)

Transductive Learning for Unsupervised Text Style Transfer. - Fei Xiao; Liang Pang; Yanyan Lan; Yan Wang; Huawei Shen; Xueqi Cheng (EMNLP (1), 2021)

Adaptive Information Seeking for Open-Domain Question Answering. - Yunchang Zhu; Liang Pang; Yanyan Lan; Huawei Shen; Xueqi Cheng (EMNLP (1), 2021)

A Discriminative Semantic Ranker for Question Retrieval. - Yinqiong Cai; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Yanyan Lan; Xueqi Cheng (ICTIR, 2021)

SIGNLENS: A Tool for Analyzing People's Polarization Social Relationship Based on Signed Graph Modeling. - Junjie Huang; Huawei Shen; Xueqi Cheng (ICWSM, 2021)

How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising. - Junjie Huang; Huawei Shen; Qi Cao; Li Cai; Xueqi Cheng (ICWSM, 2021)

Self-Supervised GANs with Label Augmentation. - Liang Hou; Huawei Shen; Qi Cao; Xueqi Cheng (NeurIPS, 2021)

Uncertainty Calibration for Ensemble-Based Debiasing Methods. - Ruibin Xiong; Yimeng Chen; Liang Pang; Xueqi Cheng; Zhi-Ming Ma; Yanyan Lan (NeurIPS, 2021)

Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. - Wenjun Ke; Jinhua Gao; Huawei Shen; Xueqi Cheng (PAKDD (2), 2021)

CubeFlow: Money Laundering Detection with Coupled Tensors. - Xiaobing Sun; Jiabao Zhang; Qiming Zhao; Shenghua Liu; Jinglei Chen; Ruoyu Zhuang; Huawei Shen; Xueqi Cheng (PAKDD (1), 2021)

Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation. - Ruizhuo Zhao; Jinhua Gao; Huawei Shen; Xueqi Cheng (PAKDD (2), 2021)

DPGS: Degree-Preserving Graph Summarization. - Houquan Zhou 002; Shenghua Liu; Kyuhan Lee; Kijung Shin; Huawei Shen; Xueqi Cheng (SDM, 2021)

Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. - Zixuan Li 001; Xiaolong Jin 001; Wei Li 176; Saiping Guan; Jiafeng Guo; Huawei Shen; Yuanzhuo Wang; Xueqi Cheng (SIGIR, 2021)

B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. - Xinyu Ma; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Yingyan Li; Xueqi Cheng (SIGIR, 2021)

PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. - Xinyu Ma; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Xiang Ji; Xueqi Cheng (WSDM, 2021)

Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. - Lixin Su; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Jiangui Chen; Yanyan Lan; Xueqi Cheng (WSDM, 2021)

Adversarial Immunization for Certifiable Robustness on Graphs. - Shuchang Tao; Huawei Shen; Qi Cao; Liang Hou; Xueqi Cheng (WSDM, 2021)

A Linguistic Study on Relevance Modeling in Information Retrieval. - Yixing Fan; Jiafeng Guo; Xinyu Ma; Ruqing Zhang 001; Yanyan Lan; Xueqi Cheng (WWW, 2021)

Att-FPA: Boosting Feature Perceive for Object Detection. - Jingwei Liu; Yi Gu; Shumin Han; Zhibin Zhang; Jiafeng Guo; Xueqi Cheng (IEEE Access, 2021)

Feature Rescaling and Fusion for Tiny Object Detection. - Jingwei Liu; Yi Gu; Shumin Han; Zhibin Zhang; Jiafeng Guo; Xueqi Cheng (IEEE Access, 2021)

Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch. - Qiaoling Zhong; Zhibin Zhang; Qiang Qiu; Xueqi Cheng (IEEE Access, 2021)

Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction. - Jiangli Shao; Yongqing Wang 005; Hao Gao 009; Huawei Shen; Xueqi Cheng (CoRR, 2021)

Inductive Representation Based Graph Convolution Network for Collaborative Filtering. - Yunfan Wu; Qi Cao; Huawei Shen; Shuchang Tao; Xueqi Cheng (CoRR, 2021)

cGANs with Auxiliary Discriminative Classifier. - Liang Hou; Qi Cao; Huawei Shen; Xueqi Cheng (CoRR, 2021)

Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction. - Qi Cao; Huawei Shen; Yuanhao Liu; Jinhua Gao; Xueqi Cheng (CoRR, 2021)

Toward the Understanding of Deep Text Matching Models for Information Retrieval. - Lijuan Chen; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (CoRR, 2021)

Uncertainty Calibration for Ensemble-Based Debiasing Methods. - Ruibin Xiong; Yimeng Chen; Liang Pang; Xueqi Cheng; Yanyan Lan (CoRR, 2021)

Information retrieval: a view from the Chinese IR community. - Zhumin Chen; Xueqi Cheng; Shoubin Dong; Zhicheng Dou; Jiafeng Guo; Xuanjing Huang 001; Yanyan Lan; Chenliang Li; Ru Li; Tie-Yan Liu; Yiqun Liu 001; Jun Ma 001; et al. (Frontiers Comput. Sci., 2021)

EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. - Wenjie Feng 001; Shenghua Liu; Christos Faloutsos; Bryan Hooi; Huawei Shen; Xueqi Cheng (Future Gener. Comput. Syst., 2021)

Incorporating explicit syntactic dependency for aspect level sentiment classification. - Wenjun Ke; Jinhua Gao; Huawei Shen; Xueqi Cheng (Neurocomputing, 2021)

Learning diffusion model-free and efficient influence function for influence maximization from information cascades. - Qi Cao; Huawei Shen; Jinhua Gao; Xueqi Cheng (Knowl. Inf. Syst., 2021)

hu-index: a unified index to quantify individuals across disciplines. - Siying Li; Huawei Shen; Peng Bao; Xueqi Cheng (Scientometrics, 2021)

Truth Discovery by Claim and Source Embedding. - Shanshan Lyu; Wentao Ouyang; Yongqing Wang 005; Huawei Shen; Xueqi Cheng (IEEE Trans. Knowl. Data Eng., 2021)

Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. - Zixuan Li 001; Saiping Guan; Xiaolong Jin 001; Weihua Peng; Yajuan Lyu; Yong Zhu 004; Long Bai 002; Wei Li 176; Jiafeng Guo; Xueqi Cheng (ACL (2), 2022)

InDNI: An Infection Time Independent Method for Diffusion Network Inference. - Guoxin Chen; Yongqing Wang 005; Jiangli Shao; Boshen Shi; Huawei Shen; Xueqi Cheng (CCIR, 2022)

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. - Yinqiong Cai; Jiafeng Guo; Yixing Fan; Qingyao Ai; Ruqing Zhang 001; Xueqi Cheng (CIKM, 2022)

CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. - Jiangui Chen; Ruqing Zhang 001; Jiafeng Guo; Yiqun Liu 001; Yixing Fan; Xueqi Cheng (CIKM, 2022)

Discriminative Language Model via Self-Teaching for Dense Retrieval. - Lu Chen; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (CIKM, 2022)

Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. - Xinyu Ma; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Xueqi Cheng (CIKM, 2022)

A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. - Xinyu Ma; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (CIKM, 2022)

Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. - Chen Wu; Ruqing Zhang 001; Jiafeng Guo; Wei Chen 034; Yixing Fan; Maarten de Rijke; Xueqi Cheng (CIKM, 2022)

Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (CIKM, 2022)

Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases. - Kun Zhang 041; Yunqi Qiu; Yuanzhuo Wang; Long Bai 002; Wei Li 176; Xuhui Jiang; Huawei Shen; Xueqi Cheng (COLING, 2022)

MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification. - Kailin Zhao; Xiaolong Jin 001; Saiping Guan; Jiafeng Guo; Xueqi Cheng (COLING, 2022)

A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty. - Sihao Yu; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Zizhen Wang; Xueqi Cheng (CVPR, 2022)

HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. - Zixuan Li 001; Zhongni Hou; Saiping Guan; Xiaolong Jin 001; Weihua Peng; Long Bai 002; Yajuan Lyu; Wei Li 176; Jiafeng Guo; Xueqi Cheng (EMNLP (Findings), 2022)

Visual Named Entity Linking: A New Dataset and A Baseline. - Wen Sun; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (EMNLP (Findings), 2022)

Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection. - Kailin Zhao; Xiaolong Jin 001; Long Bai 002; Jiafeng Guo; Xueqi Cheng (EMNLP (Findings), 2022)

Conditional GANs with Auxiliary Discriminative Classifier. - Liang Hou; Qi Cao; Huawei Shen; Siyuan Pan; Xiaoshuang Li; Xueqi Cheng (ICML, 2022)

SCIEnt: A Semantic-Feature-Based Framework for Core Information Extraction from Web Pages. - Zhiwei Wang; Yan Guo; Yangyuanxiang Xu; Yuanhai Xue; Yue Liu; Huawei Shen; Xueqi Cheng (ICONIP (3), 2022)

MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. - Yuanzheng Wang; Xueqi Cheng; Yixing Fan; Xiaofei Zhu; Huasheng Liang; Qiang Yan 001; Jiafeng Guo (IJCAI, 2022)

Towards Powerful Graph Contrastive Learning without Negative Examples. - Keting Cen; Huawei Shen; Qi Cao; Bingbing Xu 001; Xueqi Cheng (IJCNN, 2022)

Region-based Cross-modal Retrieval. - Dan Yang Hou; Liang Pang; Yanyan Lan; Huawei Shen; Xueqi Cheng (IJCNN, 2022)

Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. - Wendong Bi; Bingbing Xu 001; Xiaoqian Sun; Zidong Wang 007; Huawei Shen; Xueqi Cheng (KDD, 2022)

Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman. - Zhaohui Wang; Qi Cao; Huawei Shen; Bingbing Xu 001; Muhan Zhang; Xueqi Cheng (LoG, 2022)

GERE: Generative Evidence Retrieval for Fact Verification. - Jiangui Chen; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (SIGIR, 2022)

Few-Shot Stance Detection via Target-Aware Prompt Distillation. - Yan Jiang; Jinhua Gao; Huawei Shen; Xueqi Cheng (SIGIR, 2022)

Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. - Xinyu Ma; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Xueqi Cheng (SIGIR, 2022)

INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. - Yunfan Wu; Qi Cao; Huawei Shen; Shuchang Tao; Xueqi Cheng (SIGIR, 2022)

LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. - Yunchang Zhu; Liang Pang; Yanyan Lan; Huawei Shen; Xueqi Cheng (SIGIR, 2022)

ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. - Wenjun Ke; Jinhua Gao; Huawei Shen; Xueqi Cheng (WSDM, 2022)

MonLAD: Money Laundering Agents Detection in Transaction Streams. - Xiaobing Sun; Wenjie Feng 001; Shenghua Liu; Yuyang Xie; Siddharth Bhatia 001; Bryan Hooi; Wenhan Wang; Xueqi Cheng (WSDM, 2022)

PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. - Qi Cao; Huawei Shen; Yuanhao Liu; Jinhua Gao; Xueqi Cheng (WWW (Companion Volume), 2022)

On the Cybernetics of Crowdsourcing Innovation: A Process Model. - Lei Lin; Huawei Shen; Shenghua Liu; Easton Li Xu; Xueqi Cheng (IEEE Access, 2022)

Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification. - Zhaohui Wang; Qi Cao; Huawei Shen; Bingbing Xu 001; Xueqi Cheng (CoRR, 2022)

Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (CoRR, 2022)

Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors. - Quan Ding; Shenghua Liu; Bin Zhou; Huawei Shen; Xueqi Cheng (CoRR, 2022)

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. - Liang Hou; Qi Cao; Huawei Shen; Siyuan Pan; Xiaoshuang Li; Xueqi Cheng (CoRR, 2022)

Learning node embeddings via summary graphs: a brief theoretical analysis. - Houquan Zhou 002; Shenghua Liu; Danai Koutra; Huawei Shen; Xueqi Cheng (CoRR, 2022)

Adversarial Camouflage for Node Injection Attack on Graphs. - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Liang Hou; Xueqi Cheng (CoRR, 2022)

A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval. - Xinyu Ma; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (CoRR, 2022)

Adversarial for Social Privacy: A Poisoning Strategy to Degrade User Identity Linkage. - Jiangli Shao; Yongqing Wang 005; Boshen Shi; Hao Gao 009; Huawei Shen; Xueqi Cheng (CoRR, 2022)

DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning. - Kaike Zhang; Qi Cao; Gaolin Fang; Bingbing Xu 001; Hongjian Zou; Huawei Shen; Xueqi Cheng (CoRR, 2022)

LegoNet: A Fast and Exact Unlearning Architecture. - Sihao Yu; Fei Sun 001; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (CoRR, 2022)

Visual Named Entity Linking: A New Dataset and A Baseline. - Wenxiang Sun; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (CoRR, 2022)

User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay Function. - Hao Gao 009; Yongqing Wang 005; Jiangli Shao; Huawei Shen; Xueqi Cheng (Entropy, 2022)

NEAWalk: Inferring missing social interactions via topological-temporal embeddings of social groups. - Yinghan Shen; Xuhui Jiang; Zijian Li 014; Yuanzhuo Wang; Xiaolong Jin 001; Shengjie Ma; Xueqi Cheng (Knowl. Inf. Syst., 2022)

Location-aware convolutional neural networks for graph classification. - Zhaohui Wang; Qi Cao; Huawei Shen; Bingbing Xu 001; Keting Cen; Xueqi Cheng (Neural Networks, 2022)

Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach. - Manling Li; Yuanzhuo Wang; Denghui Zhang; Yantao Jia; Xueqi Cheng (IEEE Trans. Big Data, 2022)

Semantic Models for the First-Stage Retrieval: A Comprehensive Review. - Jiafeng Guo; Yinqiong Cai; Yixing Fan; Fei Sun 001; Ruqing Zhang 001; Xueqi Cheng (ACM Trans. Inf. Syst., 2022)

A Review on Question Generation from Natural Language Text. - Ruqing Zhang 001; Jiafeng Guo; Lu Chen; Yixing Fan; Xueqi Cheng (ACM Trans. Inf. Syst., 2022)

Rich Event Modeling for Script Event Prediction. - Long Bai 002; Saiping Guan; Zixuan Li 001; Jiafeng Guo; Xiaolong Jin 001; Xueqi Cheng (AAAI, 2023)

A Provable Framework of Learning Graph Embeddings via Summarization. - Houquan Zhou 002; Shenghua Liu; Danai Koutra; Huawei Shen; Xueqi Cheng (AAAI, 2023)

Learning Adversarially Robust Sparse Networks via Weight Reparameterization. - Chenhao Li; Qiang Qiu; Zhibin Zhang; Jiafeng Guo; Xueqi Cheng (AAAI, 2023)

Semantic Structure Enhanced Event Causality Identification. - Zhilei Hu; Zixuan Li 001; Xiaolong Jin 001; Long Bai 002; Saiping Guan; Jiafeng Guo; Xueqi Cheng (ACL (1), 2023)

BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (ACL (1), 2023)

SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. - Junkai Zhou; Liang Pang; Huawei Shen; Xueqi Cheng (ACL (1), 2023)

Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. - Wendong Bi; Xueqi Cheng; Bingbing Xu 001; Xiaoqian Sun; Easton Li Xu; Huawei Shen (CIKM, 2023)

L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. - Yinqiong Cai; Keping Bi; Yixing Fan; Jiafeng Guo; Wei Chen 034; Xueqi Cheng (CIKM, 2023)

Continual Learning for Generative Retrieval over Dynamic Corpora. - Jiangui Chen; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Wei Chen 034; Yixing Fan; Xueqi Cheng (CIKM, 2023)

Inducing Causal Structure for Abstractive Text Summarization. - Lu Chen; Ruqing Zhang 001; Wei Huang; Wei Chen 034; Jiafeng Guo; Xueqi Cheng (CIKM, 2023)

Causality and Independence Enhancement for Biased Node Classification. - Guoxin Chen; Yongqing Wang 005; Fangda Guo; Qinglang Guo; Jiangli Shao; Huawei Shen; Xueqi Cheng (CIKM, 2023)

Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Wei Chen 034; Yixing Fan; Xueqi Cheng (CIKM, 2023)

TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning. - Jiangli Shao; Yongqing Wang 005; Fangda Guo; Boshen Shi; Huawei Shen; Xueqi Cheng (CIKM, 2023)

CANA: Causal-enhanced Social Network Alignment. - Jiangli Shao; Yongqing Wang 005; Fangda Guo; Boshen Shi; Huawei Shen; Xueqi Cheng (CIKM, 2023)

Improving Graph Domain Adaptation with Network Hierarchy. - Boshen Shi; Yongqing Wang 005; Fangda Guo; Jiangli Shao; Huawei Shen; Xueqi Cheng (CIKM, 2023)

OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. - Boshen Shi; Yongqing Wang 005; Fangda Guo; Jiangli Shao; Huawei Shen; Xueqi Cheng (CIKM, 2023)

Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. - Junjie Huang; Qi Cao; Ruobing Xie; Shaoliang Zhang; Feng Xia 006; Huawei Shen; Xueqi Cheng (DASFAA (2), 2023)

Prompt Tuning with Contradictory Intentions for Sarcasm Recognition. - Yiyi Liu; Ruqing Zhang 001; Yixing Fan; Jiafeng Guo; Xueqi Cheng (EACL, 2023)

RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. - Jingcheng Deng; Liang Pang; Huawei Shen; Xueqi Cheng (EMNLP (Findings), 2023)

MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. - Hanxing Ding; Liang Pang; Zihao Wei; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (EMNLP (Findings), 2023)

Temporal Knowledge Graph Reasoning Based on N-tuple Modeling. - Zhongni Hou; Xiaolong Jin 001; Zixuan Li 001; Long Bai 002; Saiping Guan; Yutao Zeng; Jiafeng Guo; Xueqi Cheng (EMNLP (Findings), 2023)

LLMDet: A Third Party Large Language Models Generated Text Detection Tool. - Kangxi Wu; Liang Pang; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (EMNLP (Findings), 2023)

From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. - Hengran Zhang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (EMNLP (Findings), 2023)

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Jiangui Chen; Zuowei Zhu; Shuaiqiang Wang; Dawei Yin; Xueqi Cheng (KDD, 2023)

DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. - Kaike Zhang; Qi Cao; Gaolin Fang; Bingbing Xu 001; Hongjian Zou; Huawei Shen; Xueqi Cheng (KDD, 2023)

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. - Liang Hou; Qi Cao; Yige Yuan; Songtao Zhao; Chongyang Ma; Siyuan Pan; Pengfei Wan 001; Zhongyuan Wang; Huawei Shen; Xueqi Cheng (NeurIPS, 2023)

CIR at the NTCIR-17 ULTRE-2 Task. - Lulu Yu; Keping Bi; Jiafeng Guo; Xueqi Cheng (NTCIR, 2023)

A Comparative Study of Training Objectives for Clarification Facet Generation. - Shiyu Ni; Keping Bi; Jiafeng Guo; Xueqi Cheng (SIGIR-AP, 2023)

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. - Jiangui Chen; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yiqun Liu 001; Yixing Fan; Xueqi Cheng (SIGIR, 2023)

Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Wei Chen 034; Yixing Fan; Xueqi Cheng (SIGIR, 2023)

Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. - Yuanhao Liu; Qi Cao; Huawei Shen; Yunfan Wu; Shuchang Tao; Xueqi Cheng (SIGIR, 2023)

Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. - Wendong Bi; Bingbing Xu 001; Xiaoqian Sun; Easton Li Xu; Huawei Shen; Xueqi Cheng (WWW, 2023)

Multi-video Moment Ranking with Multimodal Clue. - Dan Yang Hou; Liang Pang; Yanyan Lan; Huawei Shen; Xueqi Cheng (CoRR, 2023)

Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (CoRR, 2023)

Visual Transformation Telling. - Xin Hong; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (CoRR, 2023)

Few-shot Link Prediction on N-ary Facts. - Jiyao Wei; Saiping Guan; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng (CoRR, 2023)

LLMDet: A Large Language Models Detection Tool. - Kangxi Wu; Liang Pang; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (CoRR, 2023)

IDEA: Invariant Causal Defense for Graph Adversarial Robustness. - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Bingbing Xu 001; Xueqi Cheng (CoRR, 2023)

On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Wei Chen 034; Xueqi Cheng (CoRR, 2023)

Fast Searching The Densest Subgraph And Decomposition With Local Optimality. - Yugao Zhu; Shenghua Liu; Wenjie Feng 001; Xueqi Cheng (CoRR, 2023)

L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. - Yinqiong Cai; Keping Bi; Yixing Fan; Jiafeng Guo; Wei Chen 034; Xueqi Cheng (CoRR, 2023)

Significant-attributed Community Search in Heterogeneous Information Networks. - Yanghao Liu; Fangda Guo; Bingbing Xu 001; Peng Bao; Huawei Shen; Xueqi Cheng (CoRR, 2023)

Robust Recommender System: A Survey and Future Directions. - Kaike Zhang; Qi Cao; Fei Sun 001; Yunfan Wu; Shuchang Tao; Huawei Shen; Xueqi Cheng (CoRR, 2023)

ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction. - Zhilei Hu; Zixuan Li 001; Daozhu Xu; Long Bai 002; Cheng Jin; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng (CoRR, 2023)

Nested Event Extraction upon Pivot Element Recogniton. - Weicheng Ren; Zixuan Li 001; Xiaolong Jin 001; Long Bai 002; Miao Su; Yantao Liu; Saiping Guan; Jiafeng Guo; Xueqi Cheng (CoRR, 2023)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. - Zezhi Shao; Fei Wang 014; Yongjun Xu 001; Wei Wei 002; Chengqing Yu; Zhao Zhang 011; Di Yao 001; Guangyin Jin; Xin Cao 001; Gao Cong; Christian S. Jensen; Xueqi Cheng (CoRR, 2023)

An In-Context Schema Understanding Method for Knowledge Base Question Answering. - Yantao Liu; Zixuan Li 001; Xiaolong Jin 001; Long Bai 002; Saiping Guan; Jiafeng Guo; Xueqi Cheng (CoRR, 2023)

AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval. - Shicheng Xu; Danyang Hou; Liang Pang; Jingcheng Deng; Jun Xu 001; Huawei Shen; Xueqi Cheng (CoRR, 2023)

AsyLink: user identity linkage from text to geo-location via sparse labeled data. - Jiangli Shao; Yongqing Wang 005; Hao Gao 009; Boshen Shi; Huawei Shen; Xueqi Cheng (Neurocomputing, 2023)

Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. - Junjie Huang; Ruobing Xie; Qi Cao; Huawei Shen; Shaoliang Zhang; Feng Xia 006; Xueqi Cheng (Inf. Process. Manag., 2023)

Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data. - Yan Jiang; Jinhua Gao; Huawei Shen; Xueqi Cheng (Inf. Process. Manag., 2023)

Link Prediction on N-ary Relational Data Based on Relatedness Evaluation. - Saiping Guan; Xiaolong Jin 001; Jiafeng Guo; Yuanzhuo Wang; Xueqi Cheng (IEEE Trans. Knowl. Data Eng., 2023)

UniSKGRep: A unified representation learning framework of social network and knowledge graph. - Yinghan Shen; Xuhui Jiang; Zijian Li 014; Yuanzhuo Wang; Chengjin Xu; Huawei Shen; Xueqi Cheng (Neural Networks, 2023)

Time Series Anomaly Detection With Adversarial Reconstruction Networks. - Shenghua Liu; Bin Zhou; Quan Ding; Bryan Hooi; Zhengbo Zhang; Huawei Shen; Xueqi Cheng (IEEE Trans. Knowl. Data Eng., 2023)

Are Neural Ranking Models Robust? - Chen Wu; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (ACM Trans. Inf. Syst., 2023)

Hierarchical Dense Pattern Detection in Tensors. - Wenjie Feng 001; Shenghua Liu; Xueqi Cheng (ACM Trans. Knowl. Discov. Data, 2023)

What is Event Knowledge Graph: A Survey. - Saiping Guan; Xueqi Cheng; Long Bai 002; Fujun Zhang 002; Zixuan Li 001; Yutao Zeng; Xiaolong Jin 001; Jiafeng Guo (IEEE Trans. Knowl. Data Eng., 2023)

What makes a successful rebuttal in computer science conferences?: A perspective on social interaction. - Junjie Huang; Win-Bin Huang; Yi Bu 001; Qi Cao; Huawei Shen; Xueqi Cheng (J. Informetrics, 2023)

Visual Reasoning: From State to Transformation. - Xin Hong; Yanyan Lan; Liang Pang; Jiafeng Guo; Xueqi Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models. - Chen Wu; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (ACM Trans. Inf. Syst., 2023)

Adversarial camouflage for node injection attack on graphs. - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Liang Hou; Fei Sun 001; Xueqi Cheng (Inf. Sci., 2023)

Node classification across networks via category-level domain adaptive network embedding. - Boshen Shi; Yongqing Wang 005; Jiangli Shao; Huawei Shen; Yangyang Li; Xueqi Cheng (Knowl. Inf. Syst., 2023)

Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study. - Weixin Zeng; Xiang Zhao 002; Zhen Tan; Jiuyang Tang; Xueqi Cheng (IEEE Trans. Knowl. Data Eng., 2023)

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. - Yu-An Liu 028; Ruqing Zhang 001; Mingkun Zhang; Wei Chen 034; Maarten de Rijke; Jiafeng Guo; Xueqi Cheng (AAAI, 2024)

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. - Yige Yuan; Bingbing Xu 001; Bo Lin; Liang Hou; Fei Sun 001; Huawei Shen; Xueqi Cheng (AAAI, 2024)

LPNL: Scalable Link Prediction with Large Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Xueqi Cheng (ACL (Findings), 2024)

MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. - Wanqing Cui; Keping Bi; Jiafeng Guo; Xueqi Cheng (ACL (Findings), 2024)

KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. - Zixuan Li 001; Yutao Zeng; Yuxin Zuo; Weicheng Ren; Wenxuan Liu; Miao Su; Yucan Guo; Yantao Liu; Xiang Li 001; Zhilei Hu; Long Bai 002; Wei Li 176; et al. (ACL (1), 2024)

When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. - Shiyu Ni; Keping Bi; Jiafeng Guo; Xueqi Cheng (ACL (Findings), 2024)

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? - Hexiang Tan; Fei Sun 001; Wanli Yang; Yuanzhuo Wang; Qi Cao; Xueqi Cheng (ACL (1), 2024)

Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (ACL (Findings), 2024)

Plot Retrieval as an Assessment of Abstract Semantic Association. - Shicheng Xu; Liang Pang; Jiangnan Li; Mo Yu; Fandong Meng; Huawei Shen; Xueqi Cheng; Jie Zhou 016 (ACL (Student Research Workshop), 2024)

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. - Shicheng Xu; Liang Pang; Mo Yu; Fandong Meng; Huawei Shen; Xueqi Cheng; Jie Zhou 016 (ACL (1), 2024)

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. - Wanli Yang; Fei Sun 001; Xinyu Ma; Xun Liu; Dawei Yin; Xueqi Cheng (ACL (Findings), 2024)

FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. - Guoxin Chen; Fangda Guo; Yongqing Wang 005; Yanghao Liu; Peiying Yu; Huawei Shen; Xueqi Cheng (CIKM, 2024)

Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs. - Saiping Guan; Jiyao Wei; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng (CIKM, 2024)

GaQR: An Efficient Generation-augmented Question Rewriter. - Oliver Young; Yixing Fan; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Xueqi Cheng (CIKM, 2024)

Selective Temporal Knowledge Graph Reasoning. - Zhongni Hou; Xiaolong Jin 001; Zixuan Li 001; Long Bai 002; Jiafeng Guo; Xueqi Cheng (LREC/COLING, 2024)

Qsnail: A Questionnaire Dataset for Sequential Question Generation. - Yan Lei; Liang Pang; Yuanzhuo Wang; Huawei Shen; Xueqi Cheng (LREC/COLING, 2024)

Nested Event Extraction upon Pivot Element Recognition. - Weicheng Ren; Zixuan Li 001; Xiaolong Jin 001; Long Bai 002; Miao Su; Yantao Liu; Saiping Guan; Jiafeng Guo; Xueqi Cheng (LREC/COLING, 2024)

Few-shot Link Prediction on Hyper-relational Facts. - Jiyao Wei; Saiping Guan; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng (LREC/COLING, 2024)

Class-Incremental Few-Shot Event Detection. - Kailin Zhao; Xiaolong Jin 001; Long Bai 002; Jiafeng Guo; Xueqi Cheng (LREC/COLING, 2024)

TEA: Test-Time Energy Adaptation. - Yige Yuan; Bingbing Xu 001; Liang Hou; Fei Sun 001; Huawei Shen; Xueqi Cheng (CVPR, 2024)

History Driven Sampling for Scalable Graph Neural Networks. - Yang Li 202; Bingbing Xu 001; Fei Sun 001; Qi Cao; Yige Yuan; Huawei Shen; Xueqi Cheng (DASFAA (6), 2024)

Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information. - Mingkun Zhang; Jianing Li; Wei Chen 034; Jiafeng Guo; Xueqi Cheng (ECAI, 2024)

Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. - Keping Bi; Xiaojie Sun; Jiafeng Guo; Xueqi Cheng (ECIR (4), 2024)

RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation. - Run-Ze Fan; Yixing Fan; Jiangui Chen; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (ECIR (1), 2024)

Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Hongcheng Gao; Yilong Xu; Xueqi Cheng (EMNLP (Findings), 2024)

Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework. - Lu Chen; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (EMNLP (Findings), 2024)

SLANG: New Concept Comprehension of Large Language Models. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Xueqi Cheng (EMNLP, 2024)

RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts. - Yuanzheng Wang; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (EMNLP, 2024)

Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. - Kangxi Wu; Liang Pang; Huawei Shen; Xueqi Cheng (EMNLP, 2024)

LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. - Sihui Yang; Keping Bi; Wanqing Cui; Jiafeng Guo; Xueqi Cheng (EMNLP (Findings), 2024)

Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. - Weichao Zhang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (EMNLP, 2024)

SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. - Yanghao Liu; Fangda Guo; Bingbing Xu 001; Peng Bao; Huawei Shen; Xueqi Cheng (ICDE, 2024)

Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. - Weixin Zeng; Xiang Zhao 002; Zhen Tan; Jiuyang Tang; Xueqi Cheng (ICDE, 2024)

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. - Yu Wang 160; Tong Zhao 003; Yuying Zhao; Yunchao Liu 001; Xueqi Cheng; Neil Shah; Tyler Derr (ICLR, 2024)

Test-Time Adaptation with Angular Distance-Based Prediction. - Chenhao Li; Lin Li; Zhibin Zhang; Jiafeng Guo; Xueqi Cheng (ICONIP (6), 2024)

An In-Context Schema Understanding Method for Knowledge Base Question Answering. - Yantao Liu; Zixuan Li 001; Xiaolong Jin 001; Yucan Guo; Long Bai 002; Saiping Guan; Jiafeng Guo; Xueqi Cheng (KSEM (1), 2024)

Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. - Danyang Hou; Liang Pang; Huawei Shen; Xueqi Cheng (ICMR, 2024)

Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. - Junkai Zhou; Liang Pang; Huawei Shen; Xueqi Cheng (NAACL-HLT (Findings), 2024)

Generative Retrieval Meets Multi-Graded Relevance. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Wei Chen 034; Xueqi Cheng (NeurIPS, 2024)

CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense. - Mingkun Zhang; Keping Bi; Wei Chen 034; Quanrun Chen; Jiafeng Guo; Xueqi Cheng (NeurIPS, 2024)

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (NeurIPS, 2024)

Retrieval-Augmented Code Generation for Universal Information Extraction. - Yucan Guo; Zixuan Li 001; Xiaolong Jin 001; Yantao Liu; Yutao Zeng; Wenxuan Liu; Xiang Li 001; Pan Yang; Long Bai 002; Jiafeng Guo; Xueqi Cheng (NLPCC (2), 2024)

Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (RecSys, 2024)

Graph Summarization for Preserving Spectral Characteristics. - Houquan Zhou 002; Shenghua Liu; Huawei Shen; Xueqi Cheng (SDM, 2024)

Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (SIGIR, 2024)

Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. - Zixu Wang; Bingbing Xu 001; Yige Yuan; Huawei Shen; Xueqi Cheng (SIGIR, 2024)

Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. - Shicheng Xu; Danyang Hou; Liang Pang; Jingcheng Deng; Jun Xu 001; Huawei Shen; Xueqi Cheng (SIGIR, 2024)

Are Large Language Models Good at Utility Judgments? - Hengran Zhang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (SIGIR, 2024)

LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (SIGIR, 2024)

A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. - Xiaojie Sun; Keping Bi; Jiafeng Guo; Sihui Yang; Qishen Zhang; Zhongyi Liu; Guannan Zhang; Xueqi Cheng (WSDM, 2024)

Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng; Tat-Seng Chua (WWW, 2024)

List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. - Shicheng Xu; Liang Pang; Jun Xu 001; Huawei Shen; Xueqi Cheng (WWW, 2024)

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA? - Hexiang Tan; Fei Sun 001; Wanli Yang; Yuanzhuo Wang; Qi Cao; Xueqi Cheng (CoRR, 2024)

ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs. - Fangda Guo; Xuanpu Luo; Yanghao Liu; Guoxin Chen; Yongqing Wang 005; Huawei Shen; Xueqi Cheng (CoRR, 2024)

LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Graph Domain Adaptation: Challenges, Progress and Prospects. - Boshen Shi; Yongqing Wang 005; Fangda Guo; Bingbing Xu 001; Huawei Shen; Xueqi Cheng (CoRR, 2024)

A Unified Causal View of Instruction Tuning. - Lu Chen; Wei Huang; Ruqing Zhang 001; Wei Chen 034; Jiafeng Guo; Xueqi Cheng (CoRR, 2024)

Graph Descriptive Order Improves Reasoning with Large Language Model. - Yuyao Ge; Shenghua Liu; Wenjie Feng 001; Lingrui Mei; Lizhe Chen; Xueqi Cheng (CoRR, 2024)

Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models. - Hanxing Ding; Liang Pang; Zihao Wei; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Stable Knowledge Editing in Large Language Models. - Zihao Wei; Liang Pang; Hanxing Ding; Jingcheng Deng; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Event-aware Video Corpus Moment Retrieval. - Danyang Hou; Liang Pang; Huawei Shen; Xueqi Cheng (CoRR, 2024)

CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks. - Jiafeng Guo; Changjiang Zhou; Ruqing Zhang 001; Jiangui Chen; Maarten de Rijke; Yixing Fan; Xueqi Cheng (CoRR, 2024)

Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent. - Junkai Zhou; Liang Pang; Ya Jing; Jia Gu; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Xueqi Cheng (CoRR, 2024)

Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. - Baolong Bi; Shenghua Liu; Lingrui Mei; Yiwei Wang 001; Pengliang Ji; Xueqi Cheng (CoRR, 2024)

UnKE: Unstructured Knowledge Editing in Large Language Models. - Jingcheng Deng; Zihao Wei; Liang Pang; Hanxing Ding; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy. - Hengran Zhang; Keping Bi; Jiafeng Guo; Xueqi Cheng (CoRR, 2024)

Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (CoRR, 2024)

StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Hongcheng Gao; Junfeng Fang; Xueqi Cheng (CoRR, 2024)

HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Ruibin Yuan; Xueqi Cheng (CoRR, 2024)

MITA: Bridging the Gap between Model and Data for Test-time Adaptation. - Yige Yuan; Bingbing Xu 001; Teng Xiao; Liang Hou; Fei Sun 001; Huawei Shen; Xueqi Cheng (CoRR, 2024)

A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions. - Xueqi Cheng; Catherine Yang; Yuying Zhao; Yu Wang 160; Hamid Karimi; Tyler Derr (CoRR, 2024)

AlignXIE: Improving Multilingual Information Extraction by Cross-Lingual Alignment. - Yuxin Zuo; Wenxuan Jiang; Wenxuan Liu; Zixuan Li 001; Long Bai 002; Hanbin Wang; Yutao Zeng; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng (CoRR, 2024)

Fact-Level Confidence Calibration and Self-Correction. - Yige Yuan; Bingbing Xu 001; Hexiang Tan; Fei Sun 001; Teng Xiao; Wei Li 176; Huawei Shen; Xueqi Cheng (CoRR, 2024)

On the Robustness of Generative Information Retrieval Models. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Changjiang Zhou; Maarten de Rijke; Xueqi Cheng (CoRR, 2024)

IDEA: Invariant defense for graph adversarial robustness. - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Bingbing Xu 001; Xueqi Cheng (Inf. Sci., 2024)

Towards generalizable Graph Contrastive Learning: An information theory perspective. - Yige Yuan; Bingbing Xu 001; Huawei Shen; Qi Cao; Keting Cen; Wen Zheng; Xueqi Cheng (Neural Networks, 2024)

Identity-Preserving Adversarial Training for Robust Network Embedding. - Keting Cen; Hua-Wei Shen; Qi Cao; Bing-Bing Xu 001; Xueqi Cheng (J. Comput. Sci. Technol., 2024)

Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. - Wenjie Feng 001; Shenghua Liu; Danai Koutra; Xueqi Cheng (IEEE Trans. Knowl. Data Eng., 2024)

NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (ACM Trans. Inf. Syst., 2024)

Graph Adversarial Immunization for Certifiable Robustness. - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Liang Hou; Xueqi Cheng (IEEE Trans. Knowl. Data Eng., 2024)

Node Embedding Preserving Graph Summarization. - Houquan Zhou 002; Shenghua Liu; Huawei Shen; Xueqi Cheng (ACM Trans. Knowl. Discov. Data, 2024)

Listwise Generative Retrieval Models via a Sequential Learning Process. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Wei Chen 034; Xueqi Cheng (ACM Trans. Inf. Syst., 2024)

Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. - Yunchang Zhu; Liang Pang; Kangxi Wu; Yanyan Lan; Huawei Shen; Xueqi Cheng (ACM Trans. Inf. Syst., 2024)

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. - Yi Zhang; Yuying Zhao; Zhaoqing Li; Xueqi Cheng; Yu Wang 160; Olivera Kotevska; Philip S. Yu; Tyler Derr (IEEE Trans. Knowl. Data Eng., 2024)

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (AAAI, 2025)

G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models. - Long Bai 002; Zixuan Li 001; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng; Tat-Seng Chua (ACL (Findings), 2025)

Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts. - Baolong Bi; Shenghua Liu; Lingrui Mei; Yiwei Wang 001; Junfeng Fang; Pengliang Ji; Xueqi Cheng (ACL (1), 2025)

ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. - Hanxing Ding; Shuchang Tao; Liang Pang; Zihao Wei; Jinyang Gao; Bolin Ding; Huawei Shen; Xueqi Cheng (ACL (1), 2025)

Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? - Yuyao Ge; Shenghua Liu; Baolong Bi; Yiwei Wang 001; Lingrui Mei; Wenjie Feng 001; Lizhe Chen; Xueqi Cheng (ACL (1), 2025)

Low-Entropy Watermark Detection via Bayes' Rule Derived Detector. - Beining Huang; Du Su; Fei Sun 001; Qi Cao; Huawei Shen; Xueqi Cheng (ACL (Findings), 2025)

Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. - Shiyu Ni; Keping Bi; Jiafeng Guo; Lulu Yu; Baolong Bi; Xueqi Cheng (ACL (1), 2025)

The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems. - Hongru Song; Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Jianming Lv; Maarten de Rijke; Xueqi Cheng (ACL (Findings), 2025)

Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. - Yuchen Wen; Keping Bi; Wei Chen 034; Jiafeng Guo; Xueqi Cheng (ACL (Findings), 2025)

The Mirage of Model Editing: Revisiting Evaluation in the Wild. - Wanli Yang; Fei Sun 001; Jiajun Tan; Xinyu Ma; Qi Cao; Dawei Yin; Huawei Shen; Xueqi Cheng (ACL (1), 2025)

MPVStance: Mitigating Hallucinations in Stance Detection with Multi-Perspective Verification. - Zhaodan Zhang; Zhao Zhang; Jin Zhang; Hui Xu; Xueqi Cheng (ACL (1), 2025)

Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution. - Jizhao Zhu; Akang Shi; Zixuan Li 001; Long Bai 002; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng (ACL (1), 2025)

KnowCoder-X: Boosting Multilingual Information Extraction via Code. - Yuxin Zuo; Wenxuan Jiang; Wenxuan Liu; Zixuan Li 001; Long Bai 002; Hanbin Wang; Yutao Zeng; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng (ACL (Findings), 2025)

Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. - Jia Gu; Liang Pang; Huawei Shen; Xueqi Cheng (COLING, 2025)

Large Language Model-Based Event Relation Extraction with Rationales. - Zhilei Hu; Zixuan Li 001; Xiaolong Jin 001; Long Bai 002; Jiafeng Guo; Xueqi Cheng (COLING, 2025)

"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Jiayi Mao; Xueqi Cheng (COLING, 2025)

MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. - Zihao Wei; Jingcheng Deng; Liang Pang; Hanxing Ding; Huawei Shen; Xueqi Cheng (COLING, 2025)

Inductive Link Prediction in N-ary Knowledge Graphs. - Jiyao Wei; Saiping Guan; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng (COLING, 2025)

MVAM: Multi-View Attention Method for Fine-Grained Image-Text Matching. - Wanqing Cui; Rui Cheng; Jiafeng Guo; Xueqi Cheng (ECIR (2), 2025)

On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Changjiang Zhou; Maarten de Rijke; Xueqi Cheng (ECIR (2), 2025)

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Junfeng Fang; Hongcheng Gao; Shiyu Ni; Xueqi Cheng (ICLR, 2025)

Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models. - Jingcheng Deng; Zihao Wei; Liang Pang; Hanxing Ding; Huawei Shen; Xueqi Cheng (ICLR, 2025)

A Theory for Token-Level Harmonization in Retrieval-Augmented Generation. - Shicheng Xu; Liang Pang; Huawei Shen; Xueqi Cheng (ICLR, 2025)

Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. - Shicheng Xu; Liang Pang; Yunchang Zhu; Huawei Shen; Xueqi Cheng (ICLR, 2025)

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. - Mingkun Zhang; Keping Bi; Wei Chen 034; Jiafeng Guo; Xueqi Cheng (ICLR, 2025)

Generative Retrieval for Book Search. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Shihao Liu; Shuaiqiang Wang; Dawei Yin; Xueqi Cheng (KDD (1), 2025)

Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject. - Zenghao Duan; Wenbin Duan; Zhiyi Yin; Yinghan Shen; Shaoling Jing; Jie Zhang; Huawei Shen; Xueqi Cheng (NAACL (Short Papers), 2025)

SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs. - Zhichao Shi 001; Shaoling Jing; Yi Cheng; Hao Zhang; Yuanzhuo Wang; Jie Zhang; Huawei Shen; Xueqi Cheng (NAACL (Long Papers), 2025)

ALiiCE: Evaluating Positional Fine-grained Citation Generation. - Yilong Xu; Jinhua Gao; Xiaoming Yu; Baolong Bi; Huawei Shen; Xueqi Cheng (NAACL (Long Papers), 2025)

Text2Sql: Pure Fine-Tuning and Pure Knowledge Distillation. - Gao yu Zhu; Wei Shao; Xichou Zhu; Lei Yu 012; Jiafeng Guo; Xueqi Cheng (NAACL (Industry Track), 2025)

On the Scaling of Robustness and Effectiveness in Dense Retrieval. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (SIGIR, 2025)

Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (SIGIR, 2025)

InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. - Zixu Wang; Bingbing Xu 001; Yige Yuan; Huawei Shen; Xueqi Cheng (SIGIR, 2025)

Fact-Level Calibration and Correction for Long-Form Generations. - Yige Yuan; Bingbing Xu 001; Hexiang Tan; Fei Sun 001; Teng Xiao; Wei Li 176; Huawei Shen; Xueqi Cheng (SIGIR, 2025)

Edge Classification on Graphs: New Directions in Topological Imbalance. - Xueqi Cheng; Yu Wang 160; Yunchao Liu 001; Yuying Zhao; Charu C. Aggarwal; Tyler Derr (WSDM, 2025)

Edge-Centric Network Analytics. - Xueqi Cheng (WSDM, 2025)

Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. - Lulu Yu; Keping Bi; Jiafeng Guo; Shihao Liu; Dawei Yin; Xueqi Cheng (WWW (Companion Volume), 2025)

Personalized Denoising Implicit Feedback for Robust Recommender System. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (WWW, 2025)

Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering. - Shiqi Sun; Kun Zhang 041; Jingyuan Li 002; Min Yu 001; Kun Hou; Yuanzhuo Wang; Xueqi Cheng (Inf. Process. Manag., 2025)

Generative Retrieval for Book search. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Shihao Liu; Shuaiqing Wang; Dawei Yin; Xueqi Cheng (CoRR, 2025)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. - Zezhi Shao; Fei Wang 014; Yongjun Xu 001; Wei Wei 002; Chengqing Yu; Zhao Zhang 011; Di Yao 001; Tao Sun 011; Guangyin Jin; Xin Cao 001; Gao Cong; Christian S. Jensen; et al. (IEEE Trans. Knowl. Data Eng., 2025)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. - Bo Ni; Zheyuan Liu 010; Leyao Wang; Yongjia Lei; Yuying Zhao; Xueqi Cheng; Qingkai Zeng 001; Luna Dong; Yinglong Xia; Krishnaram Kenthapadi; Ryan A. Rossi; Franck Dernoncourt; et al. (CoRR, 2025)

Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos. - Haowen Gao; Liang Pang; Shicheng Xu; Leigang Qu; Tat-Seng Chua; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs? - Hanxing Ding; Shuchang Tao; Liang Pang; Zihao Wei; Liwei Chen; Kun Xu; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. - Jingcheng Deng; Zhongtao Jiang; Liang Pang; Liwei Chen; Kun Xu; Zihao Wei; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Estimating Commonsense Plausibility through Semantic Shifts. - Wanqing Cui; Keping Bi; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

TrustRAG: An Information Assistant with Retrieval Augmented Generation. - Yixing Fan; Qiang Yan 001; Wenshan Wang; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (CoRR, 2025)

Fairness and Diversity in Recommender Systems: A Survey. - Yuying Zhao; Yu Wang 160; Yunchao Liu 001; Xueqi Cheng; Charu C. Aggarwal; Tyler Derr (ACM Trans. Intell. Syst. Technol., 2025)

Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective. - Da Li; Keping Bi; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction. - Wenxuan Liu; Zixuan Li 001; Long Bai 002; Yuxin Zuo; Daozhu Xu; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

Towards Robust Universal Information Extraction: Benchmark, Evaluation, and Solution. - Jizhao Zhu; Akang Shi; Zixuan Li 001; Long Bai 002; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models. - Baolong Bi; Shenghua Liu; Yiwei Wang 001; Yilong Xu; Junfeng Fang; Lingrui Mei; Xueqi Cheng (CoRR, 2025)

Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking. - Yuyao Ge; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Lizhe Chen; Baolong Bi; Xueqi Cheng (CoRR, 2025)

Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects. - Boshen Shi; Yongqing Wang 005; Fangda Guo; Bing-Bing Xu 001; Hua-Wei Shen; Xueqi Cheng (J. Comput. Sci. Technol., 2025)

GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking. - Xueqi Cheng; Yuanzheng Wang; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Keping Bi (IEEE Trans. Knowl. Data Eng., 2025)

CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval. - Jiafeng Guo; Yinqiong Cai; Keping Bi; Yixing Fan; Wei Chen 034; Ruqing Zhang 001; Xueqi Cheng (ACM Trans. Inf. Syst., 2025)

Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models. - Yilong Xu; Jinhua Gao; Xiaoming Yu; Yuanhai Xue; Baolong Bi; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling. - Hengran Zhang; Keping Bi; Jiafeng Guo; Xiaojie Sun; Shihao Liu; Daiting Shi; Dawei Yin; Xueqi Cheng (CoRR, 2025)

Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG. - Hengran Zhang; Minghao Tang; Keping Bi; Jiafeng Guo; Shihao Liu; Daiting Shi; Dawei Yin; Xueqi Cheng (CoRR, 2025)

Bridging Queries and Tables through Entities in Table Retrieval. - Da Li; Keping Bi; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

a1: Steep Test-time Scaling Law via Environment Augmented Generation. - Lingrui Mei; Shenghua Liu; Yiwei Wang 001; Baolong Bi; Yuyao Ge; Jun Wan; Yurong Wu; Xueqi Cheng (CoRR, 2025)

A Simple DropConnect Approach to Transfer-based Targeted Attack. - Tongrui Su; Qingbin Li; Shengyu Zhu 001; Wei Chen; Xueqi Cheng (CoRR, 2025)

Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs. - Yuying Zhao; Yu Wang 160; Xueqi Cheng; Anne M. Tumlin; Yunchao Liu 001; Damin Xia; Meng Jiang 001; Tyler Derr (CoRR, 2025)

Mixture Policy based Multi-Hop Reasoning over N-tuple Temporal Knowledge Graphs. - Zhongni Hou; Miao Su; Xiaolong Jin 001; Zixuan Li 001; Long Bai 002; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

Distilling the Implicit Multi-Branch Structure in LLMs' Reasoning via Reinforcement Learning. - Shicheng Xu; Liang Pang; Yunchang Zhu; Jia Gu; Zihao Wei; Jingcheng Deng; Feiyang Pan; Huawei Shen; Xueqi Cheng (CoRR, 2025)

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace. - Zenghao Duan; Zhiyi Yin; Zhichao Shi 001; Liang Pang; Shaoling Jing; Jiayi Wu; Yu Yan; Huawei Shen; Xueqi Cheng (CoRR, 2025)

How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception. - Shiyu Ni; Keping Bi; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. - Hexiang Tan; Fei Sun 001; Sha Liu; Du Su; Qi Cao; Xin Chen; Jingang Wang; Xunliang Cai; Yuanzhuo Wang; Huawei Shen; Xueqi Cheng (CoRR, 2025)

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. - Zezhi Shao; Yujie Li 008; Fei Wang 014; Chengqing Yu; Yisong Fu; Tangwen Qian; Bin Xu; Boyu Diao; Yongjun Xu 001; Xueqi Cheng (CoRR, 2025)

Inference-time Alignment in Continuous Space. - Yige Yuan; Teng Xiao; Li Yunfan; Bingbing Xu 001; Shuchang Tao; Yunqi Qiu; Huawei Shen; Xueqi Cheng (CoRR, 2025)

MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models. - Xueqi Cheng; Minxing Zheng; Shixiang Zhu; Yushun Dong (CoRR, 2025)

Rethinking Machine Unlearning in Image Generation Models. - Renyang Liu; Wenjie Feng 001; Tianwei Zhang; Wei Zhou; Xueqi Cheng; See-Kiong Ng (CoRR, 2025)

KnowCoder-V2: Deep Knowledge Analysis. - Zixuan Li 001; Wenxuan Liu; Long Bai 002; Chunmao Zhang; Wei Li 176; Fenghui Zhang; Quanxin Jin; Ruoyun He; Zhuo Chen; Zhilei Hu; Fei Wang 014; Bingbing Xu 001; et al. (CoRR, 2025)

A Survey of Link Prediction in N-ary Knowledge Graphs. - Jiyao Wei; Saiping Guan; Da Li; Xiaolong Jin 001; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation. - Jiayu Yao; Shenghua Liu; Yiwei Wang 001; Lingrui Mei; Baolong Bi; Yuyao Ge; Zhecheng Li; Xueqi Cheng (CoRR, 2025)

BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection. - Boshen Shi; Yongqing Wang 005; Fangda Guo; Jiangli Shao; Huawei Shen; Xueqi Cheng (CoRR, 2025)

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs. - Baolong Bi; Shenghua Liu; Xingzhang Ren; Dayiheng Liu; Junyang Lin; Yiwei Wang 001; Lingrui Mei; Junfeng Fang; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models. - Shilong Zhao; Fei Sun 001; Kaike Zhang; Shaoling Jing; Du Su; Zhichao Shi 001; Zhiyi Yin; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation. - Hengran Zhang; Keping Bi; Jiafeng Guo; Jiaming Zhang; Shuaiqiang Wang; Dawei Yin; Xueqi Cheng (CoRR, 2025)

Improving post-training structured pruning via two-stage reconstruction. - Chenhao Li; Lin Li; Zhibin Zhang; Qiang Qiu; Jiafeng Guo; Xueqi Cheng (Expert Syst. Appl., 2026)