A New Multi-Criteria Quadratic-Programming Linear Classification Model for VIP E-Mail Analysis. - Peng Zhang 001; Juliang Zhang; Yong Shi 001 (International Conference on Computational Science (2), 2007)

A Regularized Multiple Criteria Linear Program for Classification. - Yong Shi 001; Yingjie Tian 001; Xiaojun Chen 001; Peng Zhang 001 (ICDM Workshops, 2007)

Active Learning from Data Streams. - Xingquan Zhu 001; Peng Zhang 001; Xiaodong Lin 004; Yong Shi 001 (ICDM, 2007)

Data Mining Consulting Improve Data Quality. - Xingsen Li; Yong Shi 001; Jun Li 015; Peng Zhang 001 (Data Sci. J., 2007)

Kernel-Based Nonparametric Regression Method. - Dongling Zhang; Yingjie Tian 001; Peng Zhang 001 (Web Intelligence/IAT Workshops, 2008)

Select Objective Functions for Multiple Criteria Programming Classification. - Peng Zhang 001; Yingjie Tian 001; Zhiwang Zhang; Aihua Li; Xingquan Zhu 001 (Web Intelligence/IAT Workshops, 2008)

DEA-Based Comprehensive Evaluation of Intelligent Knowledge. - Lingling Zhang 001; Jie Wei; Anqiang Huang; Jun Li 015; Peng Zhang 001 (Web Intelligence/IAT Workshops, 2008)

A Bias-Variance Analysis of Multiple Criteria Linear Programming Classification Ensembles. - Meihong Zhu; Yong Shi 001; Aihua Li; Peng Zhang 001 (Web Intelligence/IAT Workshops, 2008)

A Rough Set-Based Multiple Criteria Linear Programming Approach for Classification. - Zhiwang Zhang; Yong Shi 001; Peng Zhang 001; Guangxia Gao (ICCS (2), 2008)

Select Representative Samples for Regularized Multiple-Criteria Linear Programming Classification. - Peng Zhang 001; Yingjie Tian 001; Xingsen Li; Zhiwang Zhang; Yong Shi 001 (ICCS (2), 2008)

Cleansing Noisy Data Streams. - Xingquan Zhu 001; Peng Zhang 001; Xindong Wu 001; Dan He 001; Chengqi Zhang; Yong Shi 001 (ICDM, 2008)

Categorizing and mining concept drifting data streams. - Peng Zhang 001; Xingquan Zhu 001; Yong Shi 001 (KDD, 2008)

Global and Local (Glocal) Bagging Approach for Classifying Noisy Dataset. - Peng Zhang 001; Zhiwang Zhang; Aihua Li; Yong Shi 001 (Int. J. Softw. Informatics, 2008)

A New Research Field: Intelligent Knowledge Management. - Lingling Zhang 001; Jun Li 015; Aihua Li; Peng Zhang 001; Guangli Nie; Yong Shi 001 (BIFE, 2009)

Transfer Knowledge via Relational K-Means Method. - Peng Zhang 001; Lingling Zhang 001; Guangli Nie; Yuejin Zhang; Yong Shi 001 (BIFE, 2009)

A New Classification Method for PCA-Based Face Recognition. - Xiaofei Zhou; Yong Shi 001; Peng Zhang 001; Guangli Nie; Wenhan Jiang (BIFE, 2009)

Personal Financial Market Segmentation Based on Clustering Ensembles. - Guoxun Wang; Guangli Nie; Peng Zhang 001; Yong Shi 001 (CSIE (3), 2009)

Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China. - Guangli Nie; Guoxun Wang; Peng Zhang 001; Yingjie Tian 001; Yong Shi 001 (ICCS (2), 2009)

Multiple Criteria Quadratic Programming for Financial Distress Prediction of the Listed Manufacturing Companies. - Ying Wang; Peng Zhang 001; Guangli Nie; Yong Shi 001 (ICCS (2), 2009)

Bias-Variance Analysis for Ensembling Regularized Multiple Criteria Linear Programming Models. - Peng Zhang 001; Xingquan Zhu 001; Yong Shi 001 (ICCS (2), 2009)

Kernel Based Regularized Multiple Criteria Linear Programming Model. - Yuehua Zhang; Peng Zhang 001; Yong Shi 001 (ICCS (2), 2009)

Mining Data Streams with Labeled and Unlabeled Training Examples. - Peng Zhang 001; Xingquan Zhu 001; Li Guo 001 (ICDM, 2009)

A New Kernel-Based Classification Algorithm. - Xiaofei Zhou; Wenhan Jiang; Yingjie Tian 001; Peng Zhang 001; Guangli Nie; Yong Shi 001 (ICDM, 2009)

A Study on Identifying Essential Hyperplanes for Constructing a Multiclass Classification Model. - Sung-Hyuk Park; Soon-Young Huh; Peng Zhang 001; Yong Shi 001 (NCM, 2009)

An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise. - Peng Zhang 001; Xingquan Zhu 001; Yong Shi 001; Xindong Wu 001 (PAKDD, 2009)

Regularized multiple criteria linear programs for classification. - Yong Shi 001; Yingjie Tian 001; Xiaojun Chen 001; Peng Zhang 001 (Sci. China Ser. F Inf. Sci., 2009)

Several multi-criteria programming methods for classification. - Juliang Zhang; Yong Shi 001; Peng Zhang 001 (Comput. Oper. Res., 2009)

SKIF: a data imputation framework for concept drifting data streams. - Peng Zhang 001; Xingquan Zhu 001; Jianlong Tan; Li Guo 001 (CIKM, 2010)

A New Weighted Ensemble Model for Detecting DoS Attack Streams. - Jinghua Yan; Xiao-chun Yun; Peng Zhang 001; Jianlong Tan; Li Guo 001 (Web Intelligence/IAT Workshops, 2010)

Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams. - Peng Zhang 001; Xingquan Zhu 001; Jianlong Tan; Li Guo 001 (ICDM, 2010)

Learning from Multiple Related Data Streams with Asynchronous Flowing Speeds. - Zhi Qiao 005; Peng Zhang 001; Jing He 004; Jinghua Yan; Li Guo 001 (ICMLA, 2010)

Knowledge extraction from multiple criteria linear programming classification approach. - Yuejin Zhang; Peng Zhang 001; Lingling Zhang 001; Yong Shi 001 (ICCS, 2010)

Active Learning From Stream Data Using Optimal Weight Classifier Ensemble. - Xingquan Zhu 001; Peng Zhang 001; Xiaodong Lin 004; Yong Shi 001 (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Multiple criteria programming models for VIP E-Mail behavior analysis. - Peng Zhang 001; Xingquan Zhu 001; Zhiwang Zhang; Yong Shi 001 (Web Intell. Agent Syst., 2010)

Mining frequent patterns across multiple data streams. - Jing Guo; Peng Zhang 001; Jianlong Tan; Li Guo 001 (CIKM, 2011)

Continuous data stream query in the cloud. - Jun Li 016; Peng Zhang 001; Jianlong Tan; Ping Liu 001; Li Guo 001 (CIKM, 2011)

Predictive Data Stream Filtering. - Jun Li 016; Wenyu Zang; Jianlong Tan; Peng Zhang 001 (Web Intelligence/IAT Workshops, 2011)

Enabling Fast Lazy Learning for Data Streams. - Peng Zhang 001; Byron J. Gao; Xingquan Zhu 001; Li Guo 001 (ICDM, 2011)

Adaptive Shared-Filter Ordering for Efficient Multimedia Stream Monitoring. - Jun Li 016; Peng Wang 028; Peng Zhang 001; Jianlong Tan (ICTAI, 2011)

Enabling fast prediction for ensemble models on data streams. - Peng Zhang 001; Jun Li 016; Peng Wang 028; Byron J. Gao; Xingquan Zhu 001; Li Guo 001 (KDD, 2011)

Robust ensemble learning for mining noisy data streams. - Peng Zhang 001; Xingquan Zhu 001; Yong Shi 001; Li Guo 001; Xindong Wu 001 (Decis. Support Syst., 2011)

Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model. - DongHong Sun; Li Liu; Peng Zhang 001; Xingquan Zhu 001; Yong Shi 001 (Int. J. Data Warehous. Min., 2011)

Multiple Time Series Anomaly Detection Based on Compression and Correlation Analysis: A Medical Surveillance Case Study. - Zhi Qiao 005; Jing He 004; Jie Cao 001; Guangyan Huang; Peng Zhang 001 (APWeb, 2012)

Efficient Behavior Targeting Using SVM Ensemble Indexing. - Jun Li 016; Peng Zhang 001; Yanan Cao 001; Ping Liu 001; Li Guo 001 (ICDM, 2012)

Mining Multi-Label Data Streams Using Ensemble-Based Active Learning. - Peng Wang 028; Peng Zhang 001; Li Guo 001 (SDM, 2012)

A framework for application-driven classification of data streams. - Peng Zhang 001; Byron J. Gao; Ping Liu 001; Yong Shi 001; Li Guo 001 (Neurocomputing, 2012)

Mining Hot Topics from Twitter Streams. - Jing Guo; Peng Zhang 001; Jianlong Tan; Li Guo 001 (ICCS, 2012)

Parallel auto-encoder for efficient outlier detection. - Yunlong Ma; Peng Zhang 001; Yanan Cao 001; Li Guo 001 (IEEE BigData, 2013)

Personalized influence maximization on social networks. - Jing Guo; Peng Zhang 001; Chuan Zhou 001; Yanan Cao 001; Li Guo 001 (CIKM, 2013)

The Application of Multiple Criteria Linear Programming in Advertisement Clicking Events Prediction. - Fang Wang; Peng Zhang 001; Yanmin Shang; Yong Shi 001 (ICCS, 2013)

Item-Based Top-k Influential User Discovery in Social Networks. - Jing Guo; Peng Zhang 001; Chuan Zhou 001; Yanan Cao 001; Li Guo 001 (ICDM Workshops, 2013)

UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks. - Chuan Zhou 001; Peng Zhang 001; Jing Guo; Xingquan Zhu 001; Li Guo 001 (ICDM, 2013)

Behavioral targeting with social regularization. - Yanmin Shang; Peng Zhang 001; Yanan Cao 001; Li Guo 001 (ISI, 2013)

Mining Explainable User Interests from Scalable User Behavior Data. - Jun Li 016; Peng Zhang 001 (ITQM, 2013)

Detecting Sybil Nodes in Anonymous Communication Systems. - Wenyu Zang; Peng Zhang 001; Xiao Wang 001; Jinqiao Shi; Li Guo 001 (ITQM, 2013)

Discovering Semantics from Multiple Correlated Time Series Stream. - Zhi Qiao 005; Guangyan Huang; Jing He 004; Peng Zhang 001; Li Guo 001; Jie Cao 001; Yanchun Zhang (PAKDD (2), 2013)

User-Centric Organization of Search Results. - Byron J. Gao; David Buttler; David C. Anastasiu; Shuaiqiang Wang; Peng Zhang 001; Joey Jan (IEEE Internet Comput., 2013)

Combining Heterogenous Social and Geographical Information for Event Recommendation. - Zhi Qiao 005; Peng Zhang 001; Yanan Cao 001; Chuan Zhou 001; Li Guo 001; Binxing Fang (AAAI, 2014)

Event Recommendation in Event-Based Social Networks. - Zhi Qiao 005; Peng Zhang 001; Chuan Zhou 001; Yanan Cao 001; Li Guo 001; Yanchuan Zhang (AAAI, 2014)

A Memory-Based Continuous Query Index for Stream Processing. - Cuiwen Xiong; Peng Zhang 001; Yan Li 014; Shipeng Zhang; Qingyun Liu 001; Jianlong Tan (BigData Congress, 2014)

Mining Large-scale Event Knowledge from Web Text. - Yanan Cao 001; Peng Zhang 001; Jing Guo; Li Guo 001 (ICCS, 2014)

Improving Collaborative Recommendation via Location-based User-item Subgroup. - Zhi Qiao 005; Peng Zhang 001; Yanan Cao 001; Chuan Zhou 001; Li Guo 001 (ICCS, 2014)

A Multi-layer Event Detection Algorithm for Detecting Global and Local Hot Events in Social Networks. - Zhicong Tan; Peng Zhang 001; Jianlong Tan; Li Guo 001 (ICCS, 2014)

Discovering Multiple Diffusion Source Nodes in Social Networks. - Wenyu Zang; Peng Zhang 001; Chuan Zhou 001; Li Guo 001 (ICCS, 2014)

Maximizing the Cumulative Influence through a Social Network when Repeat Activation Exists. - Chuan Zhou 001; Peng Zhang 001; Wenyu Zang; Li Guo 001 (ICCS, 2014)

Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction. - Zhi Qiao 005; Peng Zhang 001; Wenjia Niu; Chuan Zhou 001; Peng Wang 028; Li Guo 001 (ICDM, 2014)

Estimating the Locations of Emergency Events from Twitter Streams. - Ji Ao; Peng Zhang 001; Yanan Cao 001 (ITQM, 2014)

On the Frequency Distribution of Retweets. - Yao Lu; Peng Zhang 001; Yanan Cao 001; Yue Hu 002; Li Guo 001 (ITQM, 2014)

Forward Classification on Data Streams. - Peng Wang 028; Peng Zhang 001; Yanan Cao 001; Li Guo 001; Binxing Fang (PAKDD (1), 2014)

Folksonomy-Based In-Depth Annotation of Web Services. - Yan Li 014; Jinhua Xiong; Xinran Liu; Hong Zhang 023; Peng Zhang 001 (SOSE, 2014)

Cooperative Beamforming in Cognitive Radio Network with Two-Way Relay. - Jianwei Zhang 017; Li Guo 004; Tianyu Kang; Peng Zhang 001 (VTC Spring, 2014)

Joint Optimization of Power and Filter-and-Forward Beamforming in Cognitive Networks with Frequency Selective Channels. - Peng Zhang 001; Li Guo 004; Tianyu Kang; Jianwei Zhang 017 (VTC Spring, 2014)

Combining geographical information of users and content of items for accurate rating prediction. - Zhi Qiao 005; Peng Zhang 001; Jing He 004; Yanan Cao 001; Chuan Zhou 001; Li Guo 001 (WWW (Companion Volume), 2014)

An upper bound based greedy algorithm for mining top-k influential nodes in social networks. - Chuan Zhou 001; Peng Zhang 001; Jing Guo; Li Guo 001 (WWW (Companion Volume), 2014)

Maximizing the long-term integral influence in social networks under the voter model. - Chuan Zhou 001; Peng Zhang 001; Wenyu Zang; Li Guo 001 (WWW (Companion Volume), 2014)

Comparative study between incremental and ensemble learning on data streams: Case study. - Wenyu Zang; Peng Zhang 001; Chuan Zhou 001; Li Guo 001 (J. Big Data, 2014)

SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. - Haishuai Wang; Peng Zhang 001; Ling Chen 006; Chengqi Zhang (ADC, 2015)

Defragging Subgraph Features for Graph Classification. - Haishuai Wang; Peng Zhang 001; Ivor W. Tsang; Ling Chen 006; Chengqi Zhang (CIKM, 2015)

Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence. - Peng Wang 028; Peng Zhang 001; Chuan Zhou 001; Zhao Li 007; Guo Li (CIKM, 2015)

A Scalable Distributed Private Stream Search System. - Peng Zhang 001; Yan Li 014; Qingyun Liu 001; Hailun Lin (ICDCS Workshops, 2015)

Towards Mining Trapezoidal Data Streams. - Qin Zhang 011; Peng Zhang 001; Guodong Long; Wei Ding 003; Chengqi Zhang; Xindong Wu 001 (ICDM, 2015)

Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases. - Haishuai Wang; Peng Zhang 001; Jia Wu 001; Shirui Pan (ICONIP (4), 2015)

Influence Maximization in Big Networks: An Incremental Algorithm for Streaming Subgraph Influence Spread Estimation. - Weixue Lu; Peng Zhang 001; Chuan Zhou 001; Chun-Yi Liu 003; Li Gao (IJCAI, 2015)

Online diffusion source detection in social networks. - Haishuai Wang; Peng Zhang 001; Ling Chen 006; Huan Liu 001; Chengqi Zhang (IJCNN, 2015)

Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data. - Peng Wang 028; Chuan Zhou 001; Peng Zhang 001; Weiwei Feng; Li Guo 001; Binxing Fang (PAKDD (2), 2015)

A Scheduling Framework for Periodic Tasks in Geo-Distributed Data Centers. - Yan Li 014; Hong Zhang 023; Yong Wang; Xinran Liu; Peng Zhang 001 (SOSE, 2015)

Fast Search for Distance Dependent Chinese Restaurant Processes. - Weiwei Feng; Peng Wang 028; Chuan Zhou 001; Li Guo 001; Peng Zhang 001 (WWW (Companion Volume), 2015)

Online Event Recommendation for Event-based Social Networks. - Xiancai Ji; Zhi Qiao 005; Mingze Xu; Peng Zhang 001; Chuan Zhou 001; Li Guo 001 (WWW (Companion Volume), 2015)

Topic-aware Source Locating in Social Networks. - Wenyu Zang; Chuan Zhou 001; Li Guo 001; Peng Zhang 001 (WWW (Companion Volume), 2015)

Self-adaptive attribute weighting for Naive Bayes classification. - Jia Wu 001; Shirui Pan; Xingquan Zhu 001; Zhihua Cai; Peng Zhang 001; Chengqi Zhang (Expert Syst. Appl., 2015)

Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach. - Wenyu Zang; Peng Zhang 001; Chuan Zhou 001; Li Guo 001 (J. Comput. Sci., 2015)

Modelling semantics across multiple time series and its applications. - Zhi Qiao 005; Guangyan Huang; Jing He 004; Peng Zhang 001; Yanchun Zhang; Li Guo 001 (Knowl. Based Syst., 2015)

E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams. - Peng Zhang 001; Chuan Zhou 001; Peng Wang 028; Byron J. Gao; Xingquan Zhu 001; Li Guo 001 (IEEE Trans. Knowl. Data Eng., 2015)

On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization. - Chuan Zhou 001; Peng Zhang 001; Wenyu Zang; Li Guo 001 (IEEE Trans. Knowl. Data Eng., 2015)

Direct Discriminative Bag Mapping for Multi-Instance Learning. - Jia Wu 001; Shirui Pan; Peng Zhang 001; Xingquan Zhu 001 (AAAI, 2016)

On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks. - Chuan Zhou 001; Weixue Lu; Peng Zhang 001; Jia Wu 001; Yue Hu 002; Li Guo 001 (AAAI, 2016)

Multiple-Instance Learning with Evolutionary Instance Selection. - Yongshan Zhang; Jia Wu 001; Chuan Zhou 001; Peng Zhang 001; Zhihua Cai (DASFAA (1), 2016)

Ranking-Based Music Recommendation in Online Music Radios. - Yao Lu; Zhi Qiao 005; Peng Zhang 001; Li Guo 001 (DSC, 2016)

CookieMiner: Towards real-time reconstruction of web-downloading chains from network traces. - Zhipeng Chen; Peng Zhang 001; Chao Zheng 001; Qingyun Liu 001 (ICC, 2016)

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. - Qin Zhang 011; Jia Wu 001; Peng Zhang 001; Guodong Long; Ivor W. Tsang; Chengqi Zhang (ICDM, 2016)

A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer. - Hailun Lin; Yuanzhuo Wang; Peng Zhang 001; Weiping Wang 005; Yinliang Yue; Zheng Lin 001 (PAKDD (2), 2016)

Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior. - Qinzhe Zhang; Qin Zhang 011; Guodong Long; Peng Zhang 001; Chengqi Zhang (PAKDD (1), 2016)

When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification. - Zhiquan Qi; Bo Wang 049; Yingjie Tian 001; Peng Zhang 001 (Knowl. Based Syst., 2016)

SODE: Self-Adaptive One-Dependence Estimators for classification. - Jia Wu 001; Shirui Pan; Xingquan Zhu 001; Peng Zhang 001; Chengqi Zhang (Pattern Recognit., 2016)

Memetic Extreme Learning Machine. - Yongshan Zhang; Jia Wu 001; Zhihua Cai; Peng Zhang 001; Ling Chen 006 (Pattern Recognit., 2016)

Online Learning from Trapezoidal Data Streams. - Qin Zhang 011; Peng Zhang 001; Guodong Long; Wei Ding 003; Chengqi Zhang; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2016)

Towards Anomalous Diffusion Sources Detection in a Large Network. - Peng Zhang 001; Jing He 004; Guodong Long; Guangyan Huang; Chengqi Zhang (ACM Trans. Internet Techn., 2016)

ProxyDetector: A Guided Approach to Finding Web Proxies. - Zhipeng Chen; Peng Zhang 001; Qingyun Liu 001 (LCN, 2017)

WiFi fingerprint releasing for indoor localization based on differential privacy. - Yujia Zhu; Yu Wang; Qingyun Liu 001; Yang Liu 320; Peng Zhang 001 (PIMRC, 2017)

Towards large-scale social networks with online diffusion provenance detection. - Haishuai Wang; Jia Wu 001; Shirui Pan; Peng Zhang 001; Ling Chen 006 (Comput. Networks, 2017)

SFCSD: A Self-Feedback Correction System for DNS Based on Active and Passive Measurement. - Caiyun Huang; Peng Zhang 001; Junpeng Liu; Yong Sun; Xueqiang Zou (CoRR, 2017)

Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data. - Peng Wang 028; Peng Zhang 001; Chuan Zhou 001; Zhao Li 007; Hong Yang 003 (Data Min. Knowl. Discov., 2017)

Collective Hyping Detection System for Identifying Online Spam Activities. - Qinzhe Zhang; Jia Wu 001; Peng Zhang 001; Guodong Long; Chengqi Zhang (IEEE Intell. Syst., 2017)

Data Mining on ICU Mortality Prediction Using Early Temporal Data: A Survey. - Jianfeng Xu; Yuanjian Zhang; Peng Zhang 001; Azhar Mahmood; Yu Li; Shaheen Khatoon (Int. J. Inf. Technol. Decis. Mak., 2017)

Toward value difference metric with attribute weighting. - Chaoqun Li 001; Liangxiao Jiang; Hongwei Li 003; Jia Wu 001; Peng Zhang 001 (Knowl. Inf. Syst., 2017)

Nonsmooth Penalized Clustering via ℓp Regularized Sparse Regression. - Lingfeng Niu; Ruizhi Zhou; Yingjie Tian 001; Zhiquan Qi; Peng Zhang 001 (IEEE Trans. Cybern., 2017)

Incremental Subgraph Feature Selection for Graph Classification. - Haishuai Wang; Peng Zhang 001; Xingquan Zhu 001; Ivor Wai-Hung Tsang; Ling Chen 006; Chengqi Zhang; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2017)

Malicious Websites Identification Based on Active-Passive Method. - Xueqiang Zou; Peng Zhang 001; Caiyun Huang; Xiu-guo Bao (CNCERT, 2018)

DomainObserver: A Lightweight Solution for Detecting Malicious Domains Based on Dynamic Time Warping. - Guolin Tan; Peng Zhang 001; Qingyun Liu 001; Xinran Liu; Chunge Zhu (ICCS (1), 2018)

Binarized attributed network embedding. - Hong Yang 003; Shirui Pan; Peng Zhang 001; Ling Chen 006; Defu Lian; Chengqi Zhang (ICDM, 2018)

MalFilter: A Lightweight Real-Time Malicious URL Filtering System in Large-Scale Networks. - Guolin Tan; Peng Zhang 001; Qingyun Liu 001; Xinran Liu; Chunge Zhu; Li Guo 001 (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Redis++: A High Performance In-Memory Database Based on Segmented Memory Management and Two-Level Hash Index. - Peng Zhang 001; Lichao Xing; Ninggou Yang; Guolin Tan; Qingyun Liu 001; Chuang Zhang (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Adaptive Malicious URL Detection: Learning in the Presence of Concept Drifts. - Guolin Tan; Peng Zhang 001; Qingyun Liu 001; Xinran Liu; Chunge Zhu; Fenghu Dou (TrustCom/BigDataSE, 2018)

Diffusion Based Network Embedding. - Yong Shi 001; Minglong Lei; Peng Zhang 001; Lingfeng Niu (CoRR, 2018)

Adaboost-LLP: A Boosting Method for Learning With Label Proportions. - Zhiquan Qi; Fan Meng; Yingjie Tian 001; Lingfeng Niu; Yong Shi 001; Peng Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Feature Selection With ℓ2, 1-2 Regularization. - Yong Shi 001; Jianyu Miao; Zhengyu Wang; Peng Zhang 001; Lingfeng Niu (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multiview Privileged Support Vector Machines. - Jingjing Tang; Yingjie Tian 001; Peng Zhang 001; Xiaohui Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Dual influence embedded social recommendation. - Qinzhe Zhang; Jia Wu 001; Qin Zhang 011; Peng Zhang 001; Guodong Long; Chengqi Zhang (World Wide Web, 2018)

SFDS: A Self-Feedback Detection System for DNS Hijacking Based on Multi-Protocol Cross Validation. - Caiyun Huang; Peng Zhang 001; Yong Sun; Yujia Zhu; Yang Liu 320 (ICT, 2019)

Low-Bit Quantization for Attributed Network Representation Learning. - Hong Yang 003; Shirui Pan; Ling Chen 006; Chuan Zhou 001; Peng Zhang 001 (IJCAI, 2019)

Abstractive Text Summarization with Multi-Head Attention. - Jinpeng Li 003; Chuang Zhang; Xiaojun Chen 004; Yanan Cao 001; Pengcheng Liao; Peng Zhang 001 (IJCNN, 2019)

Sequence to Sequence Network for Learning Network Representation. - Qi Liang 002; Mei Lin Zhou; Lu Ma; Dan Luo; Peng Zhang 001; Bin Wang 004 (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Learning from Time Series with Outlier Correction for Malicious Domain Identification. - Guolin Tan; Peng Zhang 001; Lei Zhang 119; Yu Zhang; Chuang Zhang; Qingyun Liu 001; Xinran Liu (ISSRE Workshops, 2019)

Transformed 𝓁1 Regularization for Learning Sparse Deep Neural Networks. - Rongrong Ma; Jianyu Miao; Lingfeng Niu; Peng Zhang 001 (CoRR, 2019)

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning. - Yang Gao 024; Hong Yang 003; Peng Zhang 001; Chuan Zhou 001; Yue Hu 002 (CoRR, 2019)

A neural translating general hyperplane for knowledge graph embedding. - Qiannan Zhu; Xiaofei Zhou; Peng Zhang 001; Yong Shi 001 (J. Comput. Sci., 2019)

Transformed ℓ1 regularization for learning sparse deep neural networks. - Rongrong Ma; Jianyu Miao; Lingfeng Niu; Peng Zhang 001 (Neural Networks, 2019)

Salient Subsequence Learning for Time Series Clustering. - Qin Zhang 011; Jia Wu 001; Peng Zhang 001; Guodong Long; Chengqi Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Learning Shapelet Patterns from Network-Based Time Series. - Haishuai Wang; Jia Wu 001; Peng Zhang 001; Yixin Chen 001 (IEEE Trans. Ind. Informatics, 2019)

Graph Neural Architecture Search. - Yang Gao 024; Hong Yang 003; Peng Zhang 001; Chuan Zhou 001; Yue Hu 002 (IJCAI, 2020)

Discrete Embedding for Latent Networks. - Hong Yang 003; Ling Chen 006; Minglong Lei; Lingfeng Niu; Chuan Zhou 001; Peng Zhang 001 (IJCAI, 2020)

Overcoming Language Priors with Self-supervised Learning for Visual Question Answering. - Xi Zhu; Zhendong Mao 001; Chunxiao Liu; Peng Zhang 001; Bin Wang 004; Yongdong Zhang 001 (IJCAI, 2020)

Towards Selective Data Enhanced Implicit Discourse Relation Recognition via Reinforcement Learning. - Meilin Zhou; Qi Liang 002; Lu Ma; Dan Luo; Peng Zhang 001; Bin Wang 004 (IJCNN, 2020)

Answer Graph-based Interactive Attention Network for Question Answering over Knowledge Base. - Lu Ma; Peng Zhang 001; Dan Luo; Meilin Zhou; Qi Liang 002; Bin Wang 004 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Global Context-aware Representation for Implicit Discourse Relation Recognition. - Meilin Zhou; Qi Liang 002; Peng Zhang 001; Lu Ma; Dan Luo; Bin Wang 004 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Prediction and Profiling of Audience Competition for Online Television Series. - Peng Zhang 001; Chuanren Liu; Kefeng Ning; Wenxiang Zhu; Yu Zhang (KDD, 2020)

Compact Position-Aware Attention Network for Image Semantic Segmentation. - Yajun Xu; Zhendong Mao 001; Peng Zhang 001; Bin Wang 004 (MMM (2), 2020)

RolNE: Improving the Quality of Network Embedding with Structural Role Proximity. - Qi Liang 002; Dan Luo; Lu Ma; Peng Zhang 001; Meilin Zhou; Yongquan He; Bin Wang 004 (WISE (1), 2020)

The method of Internet of Things access and network communication based on MQTT. - Xiangtao Liu; Tianle Zhang; Ning Hu; Peng Zhang 001; Yu Zhang (Comput. Commun., 2020)

Dual Implicit Mining-Based Latent Friend Recommendation. - Lin Cui 002; Jia Wu 001; Dechang Pi; Peng Zhang 001; Paul J. Kennedy (IEEE Trans. Syst. Man Cybern. Syst., 2020)

A Random-Walk-Based Heterogeneous Attention Network for Community Detection. - Peng Zhang 001; Kun Guo 003; Ling Wu (ChineseCSCW (2), 2021)

From Community Search to Community Understanding: A Multimodal Community Query Engine. - Zhao Li 007; Pengcheng Zou; Xia Chen 004; Shichang Hu; Peng Zhang 001; Yumou Zhang; Bingsheng He; Yuchen Li 001; Xing Tang (CIKM, 2021)

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. - Haishuai Wang; Zhao Li 007; Xuanwu Liu; Donghui Ding; Zehong Hu; Peng Zhang 001; Chuan Zhou 001; Jiajun Bu (CIKM, 2021)

Crawler Detection in Location-Based Services Using Attributed Action Net. - Wei Xia; Fei Zhao; Haishuai Wang; Peng Zhang 001; Anhui Wang; Kang Li (CIKM, 2021)

Evidence Augment for Multiple-Choice Machine Reading Comprehension by Weak Supervision. - Dan Luo; Peng Zhang 001; Lu Ma; Xi Zhu; Meilin Zhou; Qi Liang 002; Bin Wang 004; Lihong Wang (ICANN (5), 2021)

Improving Cross-Domain Slot Filling with Common Syntactic Structure. - Luchen Liu; Xixun Lin; Peng Zhang 001; Bin Wang 004 (ICASSP, 2021)

Graph Neural Network for Ethereum Fraud Detection. - Runnan Tan; Qingfeng Tan; Peng Zhang 001; Zhao Li 007 (ICBK, 2021)

Heterogeneous Graph Neural Architecture Search. - Yang Gao 024; Peng Zhang 001; Zhao Li 007; Chuan Zhou 001; Yongchao Liu; Yue Hu 002 (ICDM, 2021)

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. - Xixun Lin; Jiangxia Cao; Peng Zhang 001; Chuan Zhou 001; Zhao Li 007; Jia Wu 001; Bin Wang 004 (ICDM, 2021)

HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph. - Yongquan He; Peng Zhang 001; Luchen Liu; Qi Liang 002; Wenyuan Zhang 002; Chuang Zhang (IJCAI, 2021)

MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events. - Tengfei Lyu; Jianliang Gao; Ling Tian; Zhao Li 007; Peng Zhang 001; Ji Zhang 001 (IJCAI, 2021)

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. - Haishuai Wang; Zhao Li 007; Peng Zhang 001; Jiaming Huang; Pengrui Hui; Jian Liao; Ji Zhang 001; Jiajun Bu (KDD, 2021)

Path-based Deep Network for Candidate Item Matching in Recommenders. - Houyi Li; Zhihong Chen; Chenliang Li; Rong Xiao 005; Hongbo Deng; Peng Zhang 001; Yongchao Liu; Haihong Tang (SIGIR, 2021)

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network. - Jianliang Gao; Cong Xu; Huiling Huang; Xiaoting Ying; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (WI/IAT (Workshop/Special Session), 2021)

TTNet: Tabular Transfer Network for Few-samples Prediction. - Zhao Li 007; Donghui Ding; Xuanwu Liu; Peng Zhang 001; Youxi Wu; Lingzhou Ma (WI/IAT, 2021)

What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline. - Zhao Li 007; Pengrui Hui; Peng Zhang 001; Jiaming Huang; Biao Wang; Ling Tian; Ji Zhang 001; Jianliang Gao; Xing Tang (WWW (Companion Volume), 2021)

Efficient Byzantine-Resilient Stochastic Gradient Desce. - Kaiyun Li; Xiaojun Chen 004; Ye Dong; Peng Zhang 001; Dakui Wang; Shuai Zeng (CoRR, 2021)

Towards embedding information diffusion data for understanding big dynamic networks. - Hong Yang 003; Peng Zhang 001; Haishuai Wang; Chuan Zhou 001; Zhao Li 007; Li Gao; Qingfeng Tan (Neurocomputing, 2021)

Anomaly detection in dynamic attributed networks. - Ruizhi Zhou; Qin Zhang 011; Peng Zhang 001; Lingfeng Niu; Xiaodong Lin 004 (Neural Comput. Appl., 2021)

TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents. - Yifan He 005; Zhao Li 007; Lei Fu; Anhui Wang; Peng Zhang 001; Shuigeng Zhou; Ji Zhang 001; Ting Yu 004 (ACM Trans. Intell. Syst. Technol., 2021)

Anomaly Detection from Log Data Sequences with Perturbations. - Yixiang Chen; Linhao Ye; Yufeng Ye; Peng Zhang 001; Qinfeng Tan (DSC, 2022)

Learning Common Dependency Structure for Unsupervised Cross-Domain Ner. - Luchen Liu; Xixun Lin; Peng Zhang 001; Lei Zhang 119; Bin Wang 004 (ICASSP, 2022)

Syntax-Based Graph Matching for Knowledge Base Question Answering. - Lu Ma; Peng Zhang 001; Dan Luo; Xi Zhu; Meilin Zhou; Qi Liang 002; Bin Wang 004 (ICASSP, 2022)

A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. - Qin Zhang 011; Qincai Li; Xiaojun Chen 006; Peng Zhang 001; Shirui Pan; Philippe Fournier-Viger; Joshua Zhexue Huang (ICDM, 2022)

NEWSFARM: A Large-Scale Chinese Corpus of Long News Summarization. - Shunan Zang; Chuang Zhang; Xiaojun Liu; Xiaojun Chen 004; Peng Zhang 001; Jie Liu (ICPR, 2022)

Structure-Aware Reasoning for Knowledge Base Question Answering. - Lu Ma; Peng Zhang 001; Xi Zhu; Dan Luo; Bin Wang 004 (PAKDD (1), 2022)

An Adaptive Unified Allocation Framework for Guaranteed Display Advertising. - Xiao Cheng; Chuanren Liu; Liang Dai; Peng Zhang 001; Zhen Fang; Zhonglin Zu (WSDM, 2022)

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks. - Cong Xu; Huiling Huang; Xiaoting Ying; Jianliang Gao; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (Inf. Sci., 2022)

Discrete embedding for attributed graphs. - Hong Yang 003; Ling Chen 006; Shirui Pan; Haishuai Wang; Peng Zhang 001 (Pattern Recognit., 2022)

Multivariate Time Series Anomaly Detection with Fourier Time Series Transformer. - Yufeng Ye; Qichao He; Peng Zhang 001; Jie Xiao 005; Zhao Li 007 (CloudNet, 2023)

GIPA: A General Information Propagation Algorithm for Graph Learning. - Houyi Li; Zhihong Chen; Zhao Li 007; Qinkai Zheng; Peng Zhang 001; Shuigeng Zhou (DASFAA (4), 2023)

Decision-focused Graph Neural Networks for Graph Learning and Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Shuai Zhang; Xiaoou Zhang; Zhao Li 007; Hongyang Chen (ICDM, 2023)

Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. - Shuai Zhang; Chuan Zhou 001; Peng Zhang 001; Yang Liu 320; Zhao Li 007; Hongyang Chen (ICDM, 2023)

CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. - Yang Liu 320; Chuan Zhou 001; Shirui Pan; Jia Wu 001; Zhao Li 007; Hongyang Chen; Peng Zhang 001 (WWW, 2023)

Multi-Aspect Heterogeneous Graph Augmentation. - Yuchen Zhou; Yanan Cao 001; Yongchao Liu; Yanmin Shang; Peng Zhang 001; Zheng Lin 001; Yun Yue; Baokun Wang; Xing Fu; Weiqiang Wang 002 (WWW, 2023)

Learning Stochastic Dynamical Systems as an Implicit Regularization with Graph Neural Networks. - Jin Guo; Ting Gao; Yufu Lan; Peng Zhang 001; Sikun Yang; Jinqiao Duan (CoRR, 2023)

Graph Neural Architecture Search with GPT-4. - Haishuai Wang; Yang Gao 024; Xin Zheng 008; Peng Zhang 001; Hongyang Chen; Jiajun Bu (CoRR, 2023)

Early Warning via tipping-preserving latent stochastic dynamical system and meta label correcting. - Peng Zhang 001; Ting Gao; Jin Guo; Jinqiao Duan (CoRR, 2023)

Heterogeneous Graph Neural Architecture Search with GPT-4. - Haoyuan Dong; Yang Gao 024; Haishuai Wang; Hong Yang 003; Peng Zhang 001 (CoRR, 2023)

Thick Cloud Removal in Multi-Temporal Remote Sensing Images via Frequency Spectrum-Modulated Tensor Completion. - Zhihong Chen; Peng Zhang 001; Yu Zhang; Xunpeng Xu; Luyan Ji; Hairong Tang (Remote. Sens., 2023)

Training Compact DNNs with ℓ1/2 Regularization. - Anda Tang; Lingfeng Niu; Jianyu Miao; Peng Zhang 001 (Pattern Recognit., 2023)

An attentional-walk-based autoencoder for community detection. - Kun Guo 003; Peng Zhang 001; Wenzhong Guo; Yuzhong Chen (Appl. Intell., 2023)

GraphNAS++: Distributed Architecture Search for Graph Neural Networks. - Yang Gao 024; Peng Zhang 001; Hong Yang 003; Chuan Zhou 001; Yue Hu 002; Zhihong Tian; Zhao Li 007; Jingren Zhou 001 (IEEE Trans. Knowl. Data Eng., 2023)

Federated learning with ℓ1 regularization. - Yong Shi 001; Yuanying Zhang; Peng Zhang 001; Yang Xiao 017; Lingfeng Niu (Pattern Recognit. Lett., 2023)

HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. - Yang Gao 024; Peng Zhang 001; Chuan Zhou 001; Hong Yang 003; Zhao Li 007; Yue Hu 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Ethereum fraud behavior detection based on graph neural networks. - Runnan Tan; Qingfeng Tan; Qin Zhang 011; Peng Zhang 001; Yushun Xie; Zhao Li 007 (Computing, 2023)

Federated Spectral Graph Neural Networks. - Jiaqi Yu; Hong Yang 003; Chuan Zhou 001; Peng Zhang 001; Zhihong Tian (BESC, 2024)

A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction. - Zenghui Xu; Mingzhang Li; Ting Yu 004; Linlin Hou; Peng Zhang 001; Rage Uday Kiran; Zhao Li 007; Ji Zhang 001 (DEXA (2), 2024)

Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs. - Xiaoou Zhang; Yang Gao 024; Yang Liu 320; Yujia Zhu; Peng Zhang 001; Chuan Zhou 001; Qingyun Liu 001; Hongyang Chen (ICASSP, 2024)

CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Zhao Li 007; Shuai Zhang; Xixun Lin; Xindong Wu 001 (ICDM, 2024)

Neural Jump-Diffusion Temporal Point Processes. - Shuai Zhang; Chuan Zhou 001; Yang Aron Liu; Peng Zhang 001; Xixun Lin; Zhi-Ming Ma (ICML, 2024)

Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services. - Yang Liu 320; Chuan Zhou 001; Huang Fang; Peng Zhang 001; Yiling Pang; Qingzhao Zhang; Zhao Li 007; Hongyang Chen (ICWS, 2024)

P-I2Prange: An Automatic Construction Architecture for Scenarios in I2P Ranges. - Runnan Tan; Qingfeng Tan; Haiyan Wang 009; Yushun Xie; Peng Zhang 001 (IJCNN, 2024)

Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction. - Xinyu Wang; Feng Qiang; Li Ma 012; Peng Zhang 001; Hong Yang 003; Zhao Li 007; Ji Zhang 001 (IJCNN, 2024)

Combinatorial Optimization with Automated Graph Neural Networks. - Yang Liu 320; Peng Zhang 001; Yang Gao 024; Chuan Zhou 001; Zhao Li 007; Hongyang Chen (CoRR, 2024)

Decision-focused Graph Neural Networks for Combinatorial Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Shirui Pan; Zhao Li 007; Hongyang Chen (CoRR, 2024)

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Yanan Cao 001; Yongchao Liu; Zhao Li 007; Hongyang Chen (CoRR, 2024)

Open-world structured sequence learning via dense target encoding. - Qin Zhang 011; Ziqi Liu; Qincai Li; Haolong Xiang; Zhizhi Yu; Junyang Chen 001; Peng Zhang 001; Xiaojun Chen 006 (Inf. Sci., 2024)

The Spatio-Temporal Variation of Vegetation and Its Driving Factors during the Recent 20 Years in Beijing. - Siya Chen; Luyan Ji; Kexin Li; Peng Zhang 001; Hairong Tang (Remote. Sens., 2024)

Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. - Xixun Lin; Zhao Li 007; Peng Zhang 001; Luchen Liu; Chuan Zhou 001; Bin Wang 004; Zhihong Tian (IEEE Trans. Neural Networks Learn. Syst., 2024)

Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning. - Hui Fang; Yang Gao 024; Peng Zhang 001; Jiangchao Yao; Hongyang Chen; Haishuai Wang (AAAI, 2025)

Node-Centric Meta Structure Search in Heterogeneous Graphs. - Xiaoou Zhang; Yang Gao 024; Yang Liu 320; Yujia Zhu; Chuan Zhou 001; Peng Zhang 001; Yong Ding; Qingyun Liu 001; Hongyang Chen (ICASSP, 2025)

Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. - Xixun Lin; Yanan Cao 001; Nan Sun; Lixin Zou; Chuan Zhou 001; Peng Zhang 001; Shuai Zhang; Ge Zhang 002; Jia Wu 001 (WWW, 2025)

Spatial-angular enhanced network for light-field image super-resolution with geometry-assisted upsampling. - Deyang Liu; Shizheng Li; Yiren Chen; Peng Zhang 001; Xiaofei Zhou; Hainie Zha (J. Electronic Imaging, 2025)

Automated graph anomaly detection with large language models. - Jiaqi Yu; Yang Gao 024; Hong Yang 003; Zhihong Tian; Peng Zhang 001; Xingquan Zhu 001 (Knowl. Based Syst., 2025)

IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection. - Yanan Cao 001; Fengzhao Shi; Qing Yu; Xixun Lin; Chuan Zhou 001; Lixin Zou; Peng Zhang 001; Zhao Li 007; Dawei Yin (Neural Networks, 2025)

Action functional as an early warning indicator in the space of probability measures via Schrödinger bridge. - Peng Zhang 001; Ting Gao; Jin Guo; Jinqiao Duan (Quant. Biol., 2025)

Equivariant Hypergraph Diffusion for Crystal Structure Prediction. - Yang Liu 320; Chuan Zhou 001; Shuai Zhang; Peng Zhang 001; Xixun Lin; Shirui Pan (CoRR, 2025)

A data-centric framework of improving graph neural networks for knowledge graph embedding. - Yanan Cao 001; Xixun Lin; Yongxuan Wu; Fengzhao Shi; Yanmin Shang; Qingfeng Tan; Chuan Zhou 001; Peng Zhang 001 (World Wide Web (WWW), 2025)

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search. - Yang Gao 024; Hong Yang 003; Yizhi Chen; Junxian Wu; Peng Zhang 001; Haishuai Wang (CoRR, 2025)

Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification. - Li Ma 012; Yongchao Liu; Xiaofeng Gao 001; Peng Zhang 001; Chuntao Hong (ACM Trans. Knowl. Discov. Data, 2025)

FedMTPP: Federated Multivariate Temporal Point Processes for Distributed Event Sequence Forecasting. - Houxin Gong; Haishuai Wang; Peng Zhang 001; Sheng Zhou 004; Hongyang Chen; Jiajun Bu (IEEE Trans. Mob. Comput., 2025)

Hubness Reduction with Dual Bank Sinkhorn Normalization for Cross-Modal Retrieval. - Zhengxin Pan; Haishuai Wang; Fangyu Wu; Peng Zhang 001; Jiajun Bu (CoRR, 2025)