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)

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

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

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

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

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

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

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

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)

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

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)

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

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)

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)

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

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

Community structure of complex networks. - Hua-Wei Shen (Springer, 2013)

Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes. - Hua-Wei Shen; Dashun Wang; Chaoming Song; Albert-László Barabási (AAAI, 2014)

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

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

Collective credit allocation in science. - Hua-Wei Shen; Albert-László Barabási (CoRR, 2014)

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

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

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

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

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

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

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

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

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

Truth Discovery by Claim and Source Embedding. - Shanshan Lyu; Wentao Ouyang; Huawei Shen; 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)

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)

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)

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)

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)

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

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

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

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

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

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

GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications. - Huawei Shen; Jian Tang 005; Peng Bao (CIKM, 2019)

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

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)

Unified Collaborative Filtering over Graph Embeddings. - Pengfei Wang 009; Hanxiong Chen; Yadong Zhu; Huawei Shen; Yongfeng Zhang (SIGIR, 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)

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)

User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017. - Guoliang Xing; Hao Gao 009; Qi Cao; Xinyu Yue; Bingbing Xu 001; Keting Cen; Huawei Shen (Data Intell., 2019)

Towards early identification of online rumors based on long short-term memory networks. - Yahui Liu; Xiaolong Jin 001; Huawei Shen (Inf. Process. Manag., 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)

GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks. - Rong Yan; Huawei Shen; Qi Cao; Keting Cen; Li Wang (BigComp, 2020)

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

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

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)

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

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing. - Yongqiang Zhao 001; Shirui Pan; Jia Wu 001; Huaiyu Wan; Huizhi Liang; Haishuai Wang; Huawei Shen (IEEE Access, 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)

PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension. - Chao Yang 015; Guoqing Wang; Dongsheng Li 002; Huawei Shen; Su Feng; Bin Jiang 006 (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)

Beyond Low-frequency Information in Graph Convolutional Networks. - Deyu Bo; Xiao Wang 017; Chuan Shi 001; Huawei Shen (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)

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)

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)

Signed Bipartite Graph Neural Networks. - Junjie Huang; Huawei Shen; Qi Cao; Shuchang Tao; 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)

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)

Learning Content and Context with Language Bias for Visual Question Answering. - Chao Yang 015; Su Feng; Dongsheng Li 002; Huawei Shen; Guoqing Wang; Bin Jiang 006 (ICME, 2021)

Multi-Modality Image Manipulation Detection. - Chao Yang 015; Zhiyu Wang; Huawei Shen; Huizhou Li; Bin Jiang 006 (ICME, 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)

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)

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

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)

Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence. - Chao Yang 015; Weixin Zhou; Zhiyu Wang; Bin Jiang 006; Dongsheng Li 002; Huawei Shen (Knowl. Based 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)

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)

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)

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)

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)

Coordinate Mapping Method of Crowdsourced Data for Indoor Fingerprint Localization. - Zhengyi Li; Wen Li; Dongyan Wei; Hong Yuan; Bingbing Xu 001; Huawei Shen (IPIN, 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)

Few-Shot Stance Detection via Target-Aware Prompt Distillation. - Yan Jiang; Jinhua Gao; Huawei Shen; 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)

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)

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)

Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network. - Yang Li 202; Bingbing Xu 001; Qi Cao; Yige Yuan; Huawei Shen (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)

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

MiSTR: A Multiview Structural-Temporal Learning Framework for Rumor Detection. - Jianian Li; Peng Bao; Huawei Shen; Xuanya Li (IEEE Trans. Big Data, 2022)

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

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)

DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. - Nuoyan Lyu; Bingbing Xu 001; Fangda Guo; Huawei Shen (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)

Meta-Path Based Social Relation Reasoning in a Deep and Robust Way. - Xuhui Jiang; Yinghan Shen; Yuanzhuo Wang; Huawei Shen; Chengjin Xu; Shengjie Ma (DASFAA (3), 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)

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)

ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation. - Kun Zhang 041; Xiexiong Lin; Yuanzhuo Wang; Xin Zhang; Fei Sun 001; Jianhe Cen; Hexiang Tan; Xuhui Jiang; Huawei Shen (EMNLP (Findings), 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)

MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. - Wen Zheng; Bingbing Xu 001; Emiao Lu; Yang Li 202; Qi Cao; Xuan Zong 001; Huawei Shen (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)

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)

Simple Multi-view Can Bring Powerful Graph Neural Network. - Bingbing Xu 001; Yang Li 202; Qi Cao; Huawei Shen (WWW (Companion Volume), 2023)

Towards Deeper Graph Neural Networks via Layer-Adaptive. - Bingbing Xu 001; Bin Xie; Huawei Shen (WWW (Companion Volume), 2023)

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

Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method. - Xuhui Jiang; Chengjin Xu; Yinghan Shen; Fenglong Su; Yuanzhuo Wang; Fei Sun 001; Zixuan Li 001; Huawei Shen (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)

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)

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)

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)

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)

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)

Learning node representation via Motif Coarsening. - Rong Yan; Peng Bao; Huawei Shen; Xuanya Li (Knowl. Based Syst., 2023)

DyTSCL: Dynamic graph representation via tempo-structural contrastive learning. - Jianian Li; Peng Bao; Rong Yan; Huawei Shen (Neurocomputing, 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)

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)

Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. - Kun Zhang 041; Jiali Zeng; Fandong Meng; Yuanzhuo Wang; Shiqi Sun; Long Bai 002; Huawei Shen; Jie Zhou 016 (AAAI, 2024)

Unlocking the Power of Large Language Models for Entity Alignment. - Xuhui Jiang; Yinghan Shen; Zhichao Shi 001; Chengjin Xu; Wei Li 176; Zixuan Li 001; Jian Guo; Huawei Shen; Yuanzhuo Wang (ACL (1), 2024)

When to Trust LLMs: Aligning Confidence with Response Quality. - Shuchang Tao; Liuyi Yao; Hanxing Ding; Yuexiang Xie; Qi Cao; Fei Sun 001; Jinyang Gao; Huawei Shen; Bolin Ding (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)

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)

Qsnail: A Questionnaire Dataset for Sequential Question Generation. - Yan Lei; Liang Pang; Yuanzhuo Wang; Huawei Shen; 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)

S2-HTC: Hierarchical Text Classification via Fusing the Structural and Semantic Information. - Yinghan Shen; Yu Yan; Dechun Yin; Huawei Shen (DASFAA (5), 2024)

PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks. - Yu Chen; Qi Cao; Kaike Zhang; Xuchao Liu; Huawei Shen (EMNLP (Findings), 2024)

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

The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. - Wanli Yang; Fei Sun 001; Jiajun Tan; Xinyu Ma; Du Su; Dawei Yin; Huawei Shen (EMNLP (Findings), 2024)

BCC: Bidirectional Consistency Constraint Method for Hierarchical Text Classification. - Yinghan Shen; Yu Yan; Dechun Yin; Huawei Shen (ICASSP, 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)

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)

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

Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. - Yunfan Wu; Qi Cao; Shuchang Tao; Kaike Zhang; Fei Sun 001; Huawei Shen (RecSys, 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)

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)

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)

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. - Xuhui Jiang; Chengjin Xu; Yinghan Shen; Yuanzhuo Wang; Fenglong Su; Zhichao Shi 001; Fei Sun 001; Zixuan Li 001; Jian Guo; Huawei Shen (WWW, 2024)

Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. - Jiajun Tan; Fei Sun 001; Ruichen Qiu; Du Su; Huawei Shen (WWW (Companion Volume), 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment. - Bin Xie; Bingbing Xu 001; Yige Yuan; Shengmao Zhu; Huawei Shen (ACL (1), 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)

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)

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

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)

PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree. - Xiang Li; Zhiyi Yin; Hexiang Tan; Shaoling Jing; Du Su; Yi Cheng; Huawei Shen; Fei Sun 001 (NAACL (Findings), 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)

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)

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

Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling. - Shengmao Zhu; Bingbing Xu 001; Yige Yuan; Bin Xie; Yunfan Li; Huawei Shen (WWW (Companion Volume), 2025)

CST-Net: community-guided structural-temporal convolutional networks for popularity prediction. - Xuxu Zheng; Peng Bao; Lin Qi; Chen Tian 016; Huawei Shen (PeerJ Comput. Sci., 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)

MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing. - Xueyun Tian; Wei Li 176; Bingbing Xu 001; Yige Yuan; Yuanzhuo Wang; Huawei Shen (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)

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)

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)

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)

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)

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)

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)

Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model. - Shicheng Xu; Xin Huang; Zihao Wei; Liang Pang; Huawei Shen; Xueqi Cheng (CoRR, 2025)