Incorporating Manifold Ranking with Active Learning in Relevance Feedback for Image Retrieval. - Jun Wu 007; Yidong Li; Yingpeng Sang; Hong Shen 001 (PDCAT, 2012)

A Clustering Algorithm Based on Density-Grid for Stream Data. - Dandan Zhang; Hui Tian 001; Yingpeng Sang; Yidong Li; Yanbo Wu; Jun Wu 007; Hong Shen 001 (PDCAT, 2012)

An Improved Chord Based on Counting Bloom Filter and Topology-Aware Lookup. - Limin Zhao; Jun Wu 007; Hong Shen 001; Yidong Li; Yingpeng Sang (PDCAT, 2012)

A Self-immunizing Manifold Ranking for Image Retrieval. - Jun Wu 007; Yidong Li; Songhe Feng; Hong Shen 001 (PAKDD (2), 2013)

Learning a hybrid similarity measure for image retrieval. - Jun Wu 007; Hong Shen 001; Yidong Li; Zhi-Bo Xiao; Mingyu Lu; Chun-Li Wang (Pattern Recognit., 2013)

AB-Chord: An Improved Chord Based on Ant Colony Optimizationand Bi-Directional Lookup Routing. - Limin Zhao; Hong Shen 001; Yidong Li; Jun Wu 007 (PAAP, 2014)

Two-Phase Layered Learning Recommendation via Category Structure. - Ke Ji; Hong Shen 001; Hui Tian 001; Yanbo Wu; Jun Wu 007 (PAKDD (2), 2014)

A New Evaluation Function for Entropy-Based Feature Selection from Incomplete Data. - Wenhao Shu; Hong Shen 001; Yingpeng Sang; Yidong Li; Jun Wu 007 (PAKDD (2), 2014)

A Selectively Re-train Approach Based on Clustering to Classify Concept-Drifting Data Streams with Skewed Distribution. - Dandan Zhang; Hong Shen 001; Hui Tian 001; Yidong Li; Jun Wu 007; Yingpeng Sang (PAKDD (2), 2014)

Learning with both unlabeled data and query logs for image search. - Jun Wu 007; Zhi-Bo Xiao; Haishuai Wang; Hong Shen 001 (Comput. Electr. Eng., 2014)

Branching Path Following for Graph Matching. - Tao Wang 011; Haibin Ling; Congyan Lang; Jun Wu 007 (ECCV (2), 2016)

Mining subcascade features for cascade outbreak prediction in big networks. - Haishuai Wang; Jia Wu 001; Chuan Zhou 001; Zhenyan Ji; Jun Wu 007 (IJCNN, 2016)

Leveraging Click Completion for Graph-Based Image Ranking. - Xiaohong Qin; Yu He; Jun Wu 007; Yingpeng Sang (PDCAT, 2016)

Boosting for Real-Time Multivariate Time Series Classification. - Haishuai Wang; Jun Wu 007 (AAAI, 2017)

Clickthrough refinement for improved graph ranking. - Yu He; Jun Wu 007; Haishuai Wang (IJCNN, 2017)

Unconscious Behavior Detection for Pedestrian Safety Based on Gesture Features. - Yaru Dong; Yidong Li; Wenhua Liu; Jun Wu 007 (PDCAT, 2017)

Heterogeneous Manifold Ranking for Image Retrieval. - Jun Wu 007; Yu He; Xiangnan Guo; Yujia Zhang; Na Zhao (IEEE Access, 2017)

Click-boosted graph ranking for image retrieval. - Jun Wu 007; Yu He; Xiaohong Qin; Na Zhao; Yingpeng Sang (Comput. Sci. Inf. Syst., 2017)

Asynchronous Bi-clustering for Image Recommendation. - Yankun Jia; Yidong Li; Jun Wu 007 (Big Data (CCF), 2018)

Social Collaborative Filtering Ensemble. - Honglei Zhang; Gangdu Liu; Jun Wu 007 (PRICAI (1), 2018)

Binary Collaborative Filtering Ensemble. - Yujia Zhang; Jun Wu 007; Haishuai Wang (PRICAI (1), 2018)

Context-aware recommendations via a tree-based ensemble framework. - Ke Ji; Yahan Yuan; Kun Ma 001; Runyuan Sun; Zhenxiang Chen; Jun Wu 007 (ACM TUR-C, 2019)

Sparse Multi-Graph Ranking towards Social Image Retrieval†. - Kai Liu; Tianjiao Wang; Jun Wu 007; Yidong Li (BESC, 2019)

MFAD: A Multi-modality Face Anti-spoofing Dataset. - Bingqian Geng; Congyan Lang; Junliang Xing; Songhe Feng; Jun Wu 007 (PRICAI (2), 2019)

Neural Binary Representation Learning for Large-Scale Collaborative Filtering. - Yujia Zhang; Jun Wu 007; Haishuai Wang (IEEE Access, 2019)

Semi-discrete Matrix Factorization. - Jun Wu 007; Fangyuan Luo; Yujia Zhang; Haishuai Wang (IEEE Intell. Syst., 2020)

Semi-Discrete Social Recommendation (Student Abstract). - Fangyuan Luo; Jun Wu 007; Haishuai Wang (AAAI, 2021)

Review-Aware Neural Recommendation with Cross-Modality Mutual Attention. - Songyin Luo; Xiangkui Lu; Jun Wu 007; Jianbo Yuan (CIKM, 2021)

Semi-supervised Factorization Machines for Review-Aware Recommendation. - Junheng Huang; Fangyuan Luo; Jun Wu 007 (DASFAA (3), 2021)

Enhancing Fake News Classification by Generating Neural Fake Samples. - Yanqi Li; Ke Ji; Kun Ma 001; Zhenxiang Chen; Jun Wu 007; Yidong Li (DTPI, 2021)

HACK: A Hierarchical Model for Fake News Detection. - Yanqi Li; Ke Ji; Kun Ma 001; Zhenxiang Chen; Jun Wu 007; Yidong Li; Guandong Xu (WISE (1), 2021)

Expert Recommendations with Temporal Dynamics of User Interest in CQA. - Xiaoqi Lv; Ke Ji; Zhenxiang Chen; Kun Ma 001; Jun Wu 007; Yidong Li; Guandong Xu (WISE (1), 2021)

A Universal Model for Cross Modality Mapping by Relational Reasoning. - Zun Li 001; Congyan Lang; Liqian Liang; Tao Wang 011; Songhe Feng; Jun Wu 007; Yidong Li (CoRR, 2021)

Matrix factorization with dual-network collaborative embedding for social recommendation. - Maosheng Wei; Jun Wu 007; Lina Yang; Yuanyan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Semi-supervised collaborative filtering ensemble. - Jun Wu 007; Xiankai Sang; Wei Cui (World Wide Web, 2021)

Fake News Detection Based on the Correlation Extension of Multimodal Information. - Yanqiang Li; Ke Ji; Kun Ma 001; Zhenxiang Chen; Jin Zhou 003; Jun Wu 007 (APWeb/WAIM (1), 2022)

Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction. - Shun Zhang; Xiangkui Lu; Jun Wu 007 (CIKM, 2022)

Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback. - Fangyuan Luo; Jun Wu 007; Tao Wang 011 (IJCAI, 2022)

Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction. - Shuang Tang; Fangyuan Luo; Jun Wu 007 (SIGIR, 2022)

Adversarial Training for Predicting the Trend of the COVID-19 Pandemic. - Haishuai Wang; Jiali Ma; Ziping Zhao 001; Zhenyi Jia; Zhenyan Ji; Jun Wu 007 (J. Database Manag., 2022)

Semi-supervised Review-Aware Rating Regression (Student Abstract). - Xiangkui Lu; Jun Wu 007 (AAAI, 2023)

Multimodal Fake News Detection Based on Multi-source Heterogeneous Data Fusion. - Yongxin Yu; Ke Ji; Yuan Gao; Zhenxiang Chen; Kun Ma 001; Jun Wu 007 (PAAP, 2023)

Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation. - Xiangkui Lu; Jun Wu 007; Jianbo Yuan (SIGIR, 2023)

User-Dependent Learning to Debias for Recommendation. - Fangyuan Luo; Jun Wu 007 (SIGIR, 2023)

Self-supervised variational autoencoder towards recommendation by nested contrastive learning. - Jing Wang 116; Jun Wu 007; Caiyan Jia; Zhifei Zhang (Appl. Intell., 2023)

LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. - Honglei Zhang; Fangyuan Luo; Jun Wu 007; Xiangnan He 001; Yidong Li (ACM Trans. Inf. Syst., 2023)

Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract). - Fangyuan Luo; Jun Wu 007 (AAAI, 2024)

Improving Prompt-based News Recommendation with Individual Template and Customized Answer. - Yijiang Li; Jun Wu 007 (CIKM, 2024)

MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection. - Yongxin Yu; Ke Ji; Yuan Gao; Zhenxiang Chen; Kun Ma 001; Jun Wu 007 (PAKDD (5), 2024)

Discrete Listwise Content-aware Recommendation. - Fangyuan Luo; Jun Wu 007; Tao Wang 011 (ACM Trans. Knowl. Discov. Data, 2024)

Co-Training-Teaching: A Robust Semi-Supervised Framework for Review-Aware Rating Regression. - Xiangkui Lu; Jun Wu 007; Junheng Huang; Fangyuan Luo; Jianbo Yuan (ACM Trans. Knowl. Discov. Data, 2024)

Dual Debiasing in LLM-based Recommendation. - Sijin Lu; Zhibo Man; Fangyuan Luo; Jun Wu 007 (SIGIR, 2025)

Robust recommendation-oriented malicious attack detection method. - Hui Liu; Ke Ji; Kun Ma 001; Zhenxiang Chen; Jin Zhou 003; Jun Wu 007 (Inf. Sci., 2025)

Rank Gap Sensitive Deep AUC maximization for CTR prediction. - Fangyuan Luo; Yankai Chen 001; Jun Wu 007; Yidong Li (Pattern Recognit., 2025)