Leveraging tagging for neighborhood-aware probabilistic matrix factorization. - Le Wu; Enhong Chen; Qi Liu 003; Linli Xu; Tengfei Bao; Lei Zhang 060 (CIKM, 2012)

Multi-Label Classification with Unlabeled Data: An Inductive Approach. - Le Wu; Min-Ling Zhang (ACML, 2013)

Utilizing Social and Behavioral Neighbors for Personalized Recommendation. - Gang Xu; Linli Xu; Le Wu (ISNN (2), 2013)

Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. - Hongke Zhao; Le Wu; Qi Liu 003; Yong Ge; Enhong Chen (ICDM, 2014)

Identifying Hesitant and Interested Customers for Targeted Social Marketing. - Guowei Ma; Qi Liu 003; Le Wu; Enhong Chen (PAKDD (1), 2015)

Predicting Smartphone Adoption in Social Networks. - Le Wu; Yin Zhu; Nicholas Jing Yuan; Enhong Chen; Xing Xie 001; Yong Rui (PAKDD (1), 2015)

Product Adoption Rate Prediction: A Multi-factor View. - Le Wu; Qi Liu 003; Enhong Chen; Xing Xie 001; Chang Tan (SDM, 2015)

Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. - Le Wu; Yong Ge; Qi Liu 003; Enhong Chen; Bai Long; Zhenya Huang (AAAI, 2016)

Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. - Ming He; Yong Ge; Le Wu; Enhong Chen; Chang Tan (DASFAA (2), 2016)

Selecting Valuable Customers for Merchants in E-Commerce Platforms. - Yijun Wang 002; Le Wu; Zongda Wu; Enhong Chen; Qi Liu 003 (ICDM, 2016)

Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. - Guangming Guo; Feida Zhu 001; Enhong Chen; Le Wu; Qi Liu 003; Yingling Liu; Minghui Qiu (PAKDD (2), 2016)

Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations. - Le Wu; Qi Liu 003; Enhong Chen; Nicholas Jing Yuan; Guangming Guo; Xing Xie 001 (ACM Trans. Intell. Syst. Technol., 2016)

From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring. - Guangming Guo; Feida Zhu 001; Enhong Chen; Qi Liu 003; Le Wu; Chu Guan (ACM Trans. Web, 2016)

Tracking Knowledge Proficiency of Students with Educational Priors. - Yuying Chen; Qi Liu 003; Zhenya Huang; Le Wu; Enhong Chen; Runze Wu 001; Yu Su 002; Guoping Hu (CIKM, 2017)

Integrating LTE-D2D and VLC techniques to support V2V communication. - Peng Yue; Le Wu; Zongmin Cui (ICCC, 2017)

MFCC: An Efficient and Effective Matrix Factorization Model Based on Co-clustering. - Wenjuan Yang; Le Wu; Xueliang Liu; Chunxiao Fan 002 (ICIMCS, 2017)

Incremental Matrix Factorization: A Linear Feature Transformation Perspective. - Xunpeng Huang; Le Wu; Enhong Chen; Hengshu Zhu; Qi Liu 003; Yijun Wang 002 (IJCAI, 2017)

Tracking the Dynamics in Crowdfunding. - Hongke Zhao; Hefu Zhang; Yong Ge; Qi Liu 003; Enhong Chen; Huayu Li; Le Wu (KDD, 2017)

Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. - Le Wu; Yong Ge; Qi Liu 003; Enhong Chen; Richang Hong; Junping Du 001; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2017)

Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence. - Xin Jin 015; Le Wu; Xiaodong Li 013; Siyu Chen; Siwei Peng; Jingying Chi; Shiming Ge; Chenggen Song; Geng Zhao 001 (AAAI, 2018)

Multiple Pairwise Ranking with Implicit Feedback. - Runlong Yu; Yunzhou Zhang; Yuyang Ye 002; Le Wu; Chao Wang 086; Qi Liu 003; Enhong Chen (CIKM, 2018)

A Reinforcement Learning Framework for Explainable Recommendation. - Xiting Wang; Yiru Chen; Jie Yang; Le Wu; Zhengtao Wu; Xing Xie 001 (ICDM, 2018)

Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. - Kun Zhang 015; Guangyi Lv; Le Wu; Enhong Chen; Qi Liu 003; Han Wu 002; Fangzhao Wu (ICDM, 2018)

Zero-Shot Learning: An Energy Based Approach. - Tianxiang Zhao 006; Guiquan Liu; Le Wu; Chao Ma 022; Enhong Chen (ICDM, 2018)

Contextual Attention Model for Social Recommendation. - Hongfeng Bao; Le Wu; Peijie Sun (PCM (2), 2018)

Predicting Aesthetic Radar Map Using a Hierarchical Multi-task Network. - Xin Jin 015; Le Wu; Xinghui Zhou; Geng Zhao 001; Xiaokun Zhang 002; Xiaodong Li 013; Shiming Ge (PRCV (2), 2018)

Attentive Recurrent Social Recommendation. - Peijie Sun; Le Wu; Meng Wang 001 (SIGIR, 2018)

Explainable Social Contextual Image Recommendation with Hierarchical Attention. - Le Wu; Yong Ge; Qi Liu 003; Enhong Chen; Richang Hong; Meng Wang 001; Junping Du 001 (CoRR, 2018)

SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation. - Le Wu; Peijie Sun; Richang Hong; Yanjie Fu; Xiting Wang; Meng Wang 001 (CoRR, 2018)

Illuminating Recommendation by Understanding the Explicit Item Relations. - Qi Liu 003; Hongke Zhao; Le Wu; Zhi Li 057; En-Hong Chen (J. Comput. Sci. Technol., 2018)

Product Adoption Rate Prediction in a Competitive Market. - Le Wu; Qi Liu 003; Richang Hong; Enhong Chen; Yong Ge; Xing Xie 001; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2018)

Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. - Yanjie Fu; Pengyang Wang; Jiadi Du; Le Wu; Xiaolin Li (AAAI, 2019)

DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. - Kun Zhang 015; Guangyi Lv; Linyuan Wang; Le Wu; Enhong Chen; Fangzhao Wu; Xing Xie 001 (AAAI, 2019)

Convolutional Neural Network with Data Augmentation for Robust Myoelectric Control. - Tong Luo; Xu Zhang 002; Le Wu; Xi Chen 092; Xiang Chen 004; Xun Chen 001 (CIVEMSA, 2019)

Visualized Evidences for Detecting Novelty in Myoelectric Pattern Recognition using 3D Convolutional Neural Networks. - Le Wu; Xu Zhang 002; Xiang Chen 004; Xun Chen 001 (EMBC, 2019)

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. - Min Hou; Le Wu; Enhong Chen; Zhi Li 057; Vincent W. Zheng; Qi Liu 003 (IJCAI, 2019)

Personalized Multimedia Item and Key Frame Recommendation. - Le Wu; Lei Chen 051; Yonghui Yang; Richang Hong; Yong Ge; Xing Xie 001; Meng Wang 001 (IJCAI, 2019)

Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. - Kunpeng Liu 001; Yanjie Fu; Pengfei Wang 008; Le Wu; Rui Bo; Xiaolin Li (KDD, 2019)

Aesthetic Attributes Assessment of Images. - Xin Jin 015; Le Wu; Geng Zhao 001; Xiaodong Li 013; Xiaokun Zhang 002; Shiming Ge; Dongqing Zou; Bin Zhou; Xinghui Zhou (ACM Multimedia, 2019)

Context-Aware Dual-Attention Network for Natural Language Inference. - Kun Zhang 015; Guangyi Lv; Enhong Chen; Le Wu; Qi Liu 003; C. L. Philip Chen (PAKDD (3), 2019)

A Neural Influence Diffusion Model for Social Recommendation. - Le Wu; Peijie Sun; Yanjie Fu; Richang Hong; Xiting Wang; Meng Wang 001 (SIGIR, 2019)

Learning from visual content and style: an image-enhanced recommendation model. - Suchang Luo; Lei Chen 051; Le Wu (CCF Trans. Pervasive Comput. Interact., 2019)

Two open-source projects for image aesthetic quality assessment. - Le Wu; Xin Jin 015; Geng Zhao 001; Xinghui Zhou (Sci. China Inf. Sci., 2019)

ILGNet: inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation. - Xin Jin 015; Le Wu; Xiaodong Li 013; Xiaokun Zhang 002; Jingying Chi; Siwei Peng; Shiming Ge; Geng Zhao 001; Shuying Li (IET Comput. Vis., 2019)

Secure face retrieval for group mobile users. - Xin Jin 015; Yujie Li 001; Shiming Ge; Chenggen Song; Le Wu; Xinghui Zhou (Soft Comput., 2019)

Quality-Aware Unpaired Image-to-Image Translation. - Lei Chen 051; Le Wu; Zhenzhen Hu; Meng Wang 001 (IEEE Trans. Multim., 2019)

Photo Aesthetic Scoring Through Spatial Aggregation Perception DCNN on a New IDEA Dataset. - Xin Jin 015; Le Wu; Geng Zhao 001; Xinghui Zhou; Xiaokun Zhang 002; Xiaodong Li 013 (Cognitive Internet of Things, 2019)

Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. - Lei Chen 051; Le Wu; Richang Hong; Kun Zhang 015; Meng Wang 001 (AAAI, 2020)

Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. - Yongji Wu; Defu Lian; Yiheng Xu; Le Wu; Enhong Chen (AAAI, 2020)

ResFusion: A Residual Learning Based Fusion Framework for CTR Prediction. - Junmei Bao; Yangguang Ji; Yonghui Yang; Le Wu; Ruiji Fu (CCIR, 2020)

The Collocations of Chinese Tactile Adjectives. - Shan Wang 002; Le Wu; Qiaomin Gong (CLSW, 2020)

A Text-Guided Graph Structure for Image Captioning. - Depeng Wang; Zhenzhen Hu; Yuanen Zhou; Xueliang Liu; Le Wu; Richang Hong (ICME Workshops, 2020)

Fine-Grained Similarity Measurement between Educational Videos and Exercises. - Xin Wang 037; Wei Huang 002; Qi Liu 003; Yu Yin 002; Zhenya Huang; Le Wu; Jianhui Ma; Xue Wang (ACM Multimedia, 2020)

Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. - Le Wu; Yonghui Yang; Lei Chen 051; Defu Lian; Richang Hong; Meng Wang 001 (SIGIR, 2020)

Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. - Le Wu; Yonghui Yang; Kun Zhang 015; Richang Hong; Yanjie Fu; Meng Wang 001 (SIGIR, 2020)

Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. - Peijie Sun; Le Wu; Kun Zhang 015; Yanjie Fu; Richang Hong; Meng Wang 001 (WWW, 2020)

R2-Net: Relation of Relation Learning Network for Sentence Semantic Matching. - Kun Zhang 015; Le Wu; Guangyi Lv; Meng Wang 001; Enhong Chen; Shulan Ruan (CoRR, 2020)

Leveraging proficiency and preference for online Karaoke recommendation. - Ming He; Hao Guo 016; Guangyi Lv; Le Wu; Yong Ge; Enhong Chen; Haiping Ma (Frontiers Comput. Sci., 2020)

IDEA: A new dataset for image aesthetic scoring. - Xin Jin 015; Le Wu; Geng Zhao 001; Xinghui Zhou; Xiaokun Zhang 002; Xiaodong Li 013 (Multim. Tools Appl., 2020)

Adaptive Calibration of Electrode Array Shifts Enables Robust Myoelectric Control. - Xu Zhang 002; Le Wu; Bin Yu; Xiang Chen 004; Xun Chen 001 (IEEE Trans. Biomed. Eng., 2020)

A Novel Postprocessing Method for Robust Myoelectric Pattern-Recognition Control Through Movement Pattern Transition Detection. - Bin Yu; Xu Zhang 002; Le Wu; Xiang Chen 004; Xun Chen 001 (IEEE Trans. Hum. Mach. Syst., 2020)

A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. - Junwei Li; Le Wu; Richang Hong; Kun Zhang 015; Yong Ge; Yan Li 068 (ACM Trans. Intell. Syst. Technol., 2020)

A Hierarchical Attention Model for Social Contextual Image Recommendation. - Le Wu; Lei Chen 051; Richang Hong; Yanjie Fu; Xing Xie 001; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students. - Zhenya Huang; Qi Liu 003; Yuying Chen; Le Wu; Keli Xiao; Enhong Chen; Haiping Ma; Guoping Hu (ACM Trans. Inf. Syst., 2020)

Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. - Kun Zhang 015; Le Wu; Guangyi Lv; Meng Wang 001; Enhong Chen; Shulan Ruan (AAAI, 2021)

Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. - Dan Lu 004; Le Wu; Rui Chen 012; Qilong Han; Yichen Wang; Yong Ge (APWeb/WAIM (2), 2021)

Meta-learned ID Embeddings for Online Inductive Recommendation. - Jingyu Peng; Le Wu; Peijie Sun; Meng Wang 001 (CCIR, 2021)

White-Box Attacks on the CNN-Based Myoelectric Control System. - Bo Xue 005; Le Wu; Aiping Liu; Xu Zhang 002; Xun Chen 001 (CICAI, 2021)

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. - Min Hou; Chang Xu 008; Yang Liu 278; Weiqing Liu; Jiang Bian 002; Le Wu; Zhi Li 057; Enhong Chen; Tie-Yan Liu (CIKM, 2021)

The Collocations of Chinese Color Words. - Shan Wang 002; Le Wu; Qiaomin Gong (CLSW (1), 2021)

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. - Lei Chen 051; Le Wu; Kun Zhang 015; Richang Hong; Meng Wang 001 (SIGIR, 2021)

Privileged Graph Distillation for Cold Start Recommendation. - Shuai Wang 020; Kun Zhang 015; Le Wu; Haiping Ma; Richang Hong; Meng Wang 001 (SIGIR, 2021)

Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. - Yonghui Yang; Le Wu; Richang Hong; Kun Zhang 015; Meng Wang 001 (SIGIR, 2021)

Learning Fair Representations for Recommendation: A Graph-based Perspective. - Le Wu; Lei Chen 051; Pengyang Shao; Richang Hong; Xiting Wang; Meng Wang 001 (WWW, 2021)

Multiuser gesture recognition using sEMG signals via canonical correlation analysis and optimal transport. - Bo Xue 005; Le Wu; Kun Wang; Xu Zhang 002; Juan Cheng; Xiang Chen 004; Xun Chen 001 (Comput. Biol. Medicine, 2021)

Learning Fair Representations for Bipartite Graph based Recommendation. - Le Wu; Lei Chen 051; Pengyang Shao; Richang Hong; Xiting Wang; Meng Wang 001 (CoRR, 2021)

A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. - Le Wu; Xiangnan He 001; Xiang Wang 010; Kun Zhang 015; Meng Wang 001 (CoRR, 2021)

LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching. - Kun Zhang 015; Guangyi Lv; Le Wu; Enhong Chen; Qi Liu 003; Meng Wang 001 (CoRR, 2021)

Random walk based distributed representation learning and prediction on Social Networking Services. - Junwei Li; Le Wu; Richang Hong; Jinkui Hou (Inf. Sci., 2021)

Hierarchical attention model for personalized tag recommendation. - Jianshan Sun; Mingyue Zhu; Yuanchun Jiang; Ye-Zheng Liu 001; Le Wu (J. Assoc. Inf. Sci. Technol., 2021)

Metric learning for novel motion rejection in high-density myoelectric pattern recognition. - Le Wu; Xu Zhang 002; Xuan Zhang; Xiang Chen 004; Xun Chen 001 (Knowl. Based Syst., 2021)

Predicting personalized grouping and consumption: A collaborative evolution model. - Lu Yang; Ye-Zheng Liu 001; Yuanchun Jiang; Le Wu; Jianshan Sun (Knowl. Based Syst., 2021)

Deep Attributed Network Embedding by Preserving Structure and Attribute Information. - Richang Hong; Yuan He 011; Le Wu; Yong Ge; Xindong Wu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Collaborative Neural Social Recommendation. - Le Wu; Peijie Sun; Richang Hong; Yong Ge; Meng Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. - Kun Zhang 015; Guangyi Lv; Le Wu; Enhong Chen; Qi Liu 003; Han Wu 002; Xing Xie 001; Fangzhao Wu (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Anisotropic Additive Quantization for Fast Inner Product Search. - Jin Zhang 035; Qi Liu 003; Defu Lian; Zheng Liu 011; Le Wu; Enhong Chen (AAAI, 2022)

Multi-Relational Cognitive Diagnosis for Intelligent Education. - Kaifang Wu; Yonghui Yang; Kun Zhang 015; Le Wu; Jing Liu 001; Xin Li 034 (CICAI (2), 2022)

Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms. - Haiping Ma; Manwei Li; Le Wu; Haifeng Zhang 003; Yunbo Cao; Xingyi Zhang 001; Xuemin Zhao (CIKM, 2022)

Self-Supervised Cross Domain Social Recommendation. - Suchang Luo; Yonghui Yang; Kun Zhang 015; Peijie Sun; Le Wu; Richang Hong (ICCAI, 2022)

Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. - Chenyang Bu; Jiawei Zhang; Xingchen Yu; Le Wu; Xindong Wu 001 (ICDM, 2022)

Incremental Cognitive Diagnosis for Intelligent Education. - Shiwei Tong; Jiayu Liu 001; Yuting Hong; Zhenya Huang; Le Wu; Qi Liu 003; Wei Huang 002; Enhong Chen; Dan Zhang (KDD, 2022)

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. - Minghao Zhao 002; Le Wu; Yile Liang; Lei Chen 051; Jian Zhang 023; Qilin Deng; Kai Wang 064; Xudong Shen; Tangjie Lv; Runze Wu 001 (SIGIR, 2022)

Forest-based Deep Recommender. - Chao Feng 008; Defu Lian; Zheng Liu 011; Xing Xie 001; Le Wu; Enhong Chen (SIGIR, 2022)

ProFairRec: Provider Fairness-aware News Recommendation. - Tao Qi; Fangzhao Wu; Chuhan Wu; Peijie Sun; Le Wu; Xiting Wang; Yongfeng Huang 001; Xing Xie 001 (SIGIR, 2022)

A Review-aware Graph Contrastive Learning Framework for Recommendation. - Jie Shuai; Kun Zhang 015; Le Wu; Peijie Sun; Richang Hong; Meng Wang 001; Yong Li 008 (SIGIR, 2022)

Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. - Xiting Wang; Kunpeng Liu 001; Dongjie Wang; Le Wu; Yanjie Fu; Xing Xie 001 (WWW, 2022)

Detecting the universal adversarial perturbations on high-density sEMG signals. - Bo Xue 005; Le Wu; Aiping Liu; Xu Zhang 002; Xiang Chen 004; Xun Chen 001 (Comput. Biol. Medicine, 2022)

FairCF: fairness-aware collaborative filtering. - Pengyang Shao; Le Wu; Lei Chen 051; Kun Zhang 015; Meng Wang 001 (Sci. China Inf. Sci., 2022)

MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. - Kang Liu; Feng Xue 002; Dan Guo 001; Le Wu; Shujie Li; Richang Hong (CoRR, 2022)

Rejecting Novel Motions in High-Density Myoelectric Pattern Recognition Using Hybrid Neural Networks. - Le Wu; Xun Chen 001; Xiang Chen 004; Xu Zhang 002 (Frontiers Neurorobotics, 2022)

Graph-based cognitive diagnosis for intelligent tutoring systems. - Yu Su 002; Zeyu Cheng; Jinze Wu; Yanmin Dong; Zhenya Huang; Le Wu; Enhong Chen; Shijin Wang 001; Fei Xie (Knowl. Based Syst., 2022)

Understanding the Users and Videos by Mining a Novel Danmu Dataset. - Guangyi Lv; Kun Zhang 015; Le Wu; Enhong Chen; Tong Xu 001; Qi Liu 003; Weidong He (IEEE Trans. Big Data, 2022)

Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control. - Le Wu; Aiping Liu; Xu Zhang 002; Xiang Chen 004; Xun Chen 001 (IEEE Trans. Instrum. Meas., 2022)

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. - Le Wu; Junwei Li; Peijie Sun; Richang Hong; Yong Ge; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2022)

An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation. - Peijie Sun; Le Wu; Kun Zhang 015; Yu Su 002; Meng Wang 001 (ACM Trans. Inf. Syst., 2022)

Fair Representation Learning for Recommendation: A Mutual Information Perspective. - Chen Zhao; Le Wu; Pengyang Shao; Kun Zhang 015; Richang Hong; Meng Wang 001 (AAAI, 2023)

Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. - Ke Tu; Wei Qu; Zhengwei Wu; Zhiqiang Zhang 012; Zhongyi Liu; Yiming Zhao; Le Wu; Jun Zhou 011; Guannan Zhang (CIKM, 2023)

Meta Multi-agent Exercise Recommendation: A Game Application Perspective. - Fei Liu 038; Xuegang Hu; Shuochen Liu; Chenyang Bu; Le Wu (KDD, 2023)

GoRec: A Generative Cold-start Recommendation Framework. - Haoyue Bai 002; Min Hou; Le Wu; Yonghui Yang; Kun Zhang 015; Richang Hong; Meng Wang 001 (ACM Multimedia, 2023)

Disentangling Cognitive Diagnosis with Limited Exercise Labels. - Xiangzhi Chen 001; Le Wu; Fei Liu 047; Lei Chen 051; Kun Zhang 015; Richang Hong; Meng Wang 001 (NeurIPS, 2023)

FairLISA: Fair User Modeling with Limited Sensitive Attributes Information. - Zheng Zhang 048; Qi Liu 003; Hao Jiang 023; Fei Wang 063; Yan Zhuang; Le Wu; Weibo Gao; Enhong Chen (NeurIPS, 2023)

RecStudio: Towards a Highly-Modularized Recommender System. - Defu Lian; Xu Huang 008; Xiaolong Chen; Jin Chen 008; Xingmei Wang 001; Yankai Wang; Haoran Jin; Rui Fan; Zheng Liu 011; Le Wu; Enhong Chen (SIGIR, 2023)

Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. - Jie Shuai; Le Wu; Kun Zhang 015; Peijie Sun; Richang Hong; Meng Wang 001 (SIGIR, 2023)

Generative-Contrastive Graph Learning for Recommendation. - Yonghui Yang; Zhengwei Wu; Le Wu; Kun Zhang 015; Richang Hong; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (SIGIR, 2023)

Improving Recommendation Fairness via Data Augmentation. - Lei Chen 051; Le Wu; Kun Zhang 015; Richang Hong; Defu Lian; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (WWW, 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

RNADisease v4.0: an updated resource of RNA-associated diseases, providing RNA-disease analysis, enrichment and prediction. - Jia Chen; Jiahao Lin; Yongfei Hu; Meijun Ye; Linhui Yao; Le Wu; Wenhai Zhang; Meiyi Wang; Tingting Deng; Feng Guo; Yan Huang; Bofeng Zhu; et al. (Nucleic Acids Res., 2023)

LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching. - Kun Zhang 015; Guangyi Lv; Le Wu; Enhong Chen; Qi Liu 003; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Automated Feature Selection: A Reinforcement Learning Perspective. - Kunpeng Liu 001; Yanjie Fu; Le Wu; Xiaolin Li; Charu Aggarwal 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Silent Speech Recognition Based on High-Density Surface Electromyogram Using Hybrid Neural Networks. - Xi Chen 092; Yuanfei Xia; Yong Sun; Le Wu; Xiang Chen 004; Xun Chen 001; Xu Zhang 002 (IEEE Trans. Hum. Mach. Syst., 2023)

MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. - Kang Liu; Feng Xue 002; Dan Guo 001; Le Wu; Shujie Li 002; Richang Hong (ACM Trans. Inf. Syst., 2023)

A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation. - Le Wu; Xiangnan He 001; Xiang Wang 010; Kun Zhang 015; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Signal Processing for Brain-Computer Interfaces: A review and current perspectives. - Le Wu; Aiping Liu; Rabab K. Ward; Z. Jane Wang 001; Xun Chen 001 (IEEE Signal Process. Mag., 2023)

Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation. - Bin Wu 019; Xiangnan He 001; Le Wu; Xue Zhang; Yangdong Ye (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry. - Ming He; Yan Chen; Hongke Zhao; Qi Liu 003; Le Wu; Yu Cui; Guihua Zeng; Guiquan Liu (J. Comput. Sci. Technol., 2023)

Bots Shield Fake News: Adversarial Attack on User Engagement based Fake News Detection. - Lanjun Wang; Zehao Wang; Le Wu; An-An Liu (CIKM, 2024)

Learning Fair Representations for Recommendation via Information Bottleneck Principle. - Junsong Xie; Yonghui Yang; Zihan Wang; Le Wu (IJCAI, 2024)

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias. - Miaomiao Cai; Lei Chen 051; Yifan Wang 017; Haoyue Bai 002; Peijie Sun; Le Wu; Min Zhang 006; Meng Wang 001 (KDD, 2024)

Double Correction Framework for Denoising Recommendation. - Zhuangzhuang He; Yifan Wang 017; Yonghui Yang; Peijie Sun; Le Wu; Haoyue Bai 002; Jinqi Gong; Richang Hong; Min Zhang 006 (KDD, 2024)

Graph Bottlenecked Social Recommendation. - Yonghui Yang; Le Wu; Zihan Wang; Zhuangzhuang He; Richang Hong; Meng Wang 001 (KDD, 2024)

Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. - Dacao Zhang; Kun Zhang 015; Le Wu; Mi Tian; Richang Hong; Meng Wang 001 (KDD, 2024)

Pass-Through ELSFP with Optional Integrated Optical Mux and Demux for Colorless CPO Systems. - Jingwei Liu; Zhan Su; Le Wu; Lei Shi; Lihua Chi; Xujun Pan; Sam Huang; Yu Ning; Zhigang Gong (OFC, 2024)

Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. - Haoyue Bai 002; Le Wu; Min Hou; Miaomiao Cai; Zhuangzhuang He; Yuyang Zhou; Richang Hong; Meng Wang 001 (SIGIR, 2024)

A New Lightweight Fault Diagnosis Framework Towards Variable Speed Rolling Bearings. - Guiyi Liu; Chao Zhang; Shuai Xu; Jing Zhang 119; Le Wu (IEEE Access, 2024)

Remaining Life Prediction of Bearings Based on Improved IF-SCINet. - Jing Zhang 119; Chao Zhang; Shuai Xu; Guiyi Liu; Hongbo Fei; Le Wu (IEEE Access, 2024)

Enhancing EEG artifact removal through neural architecture search with large kernels. - Le Wu; Aiping Liu; Chang Li 001; Xun Chen 001 (Adv. Eng. Informatics, 2024)

Label-aware debiased causal reasoning for Natural Language Inference. - Kun Zhang 015; Dacao Zhang; Le Wu; Richang Hong; Ye Zhao 001; Meng Wang 001 (AI Open, 2024)

Understanding and improving fairness in cognitive diagnosis. - Zheng Zhang 048; Le Wu; Qi Liu 003; Jiayu Liu 001; Zhenya Huang; Yu Yin 002; Yan Zhuang; Weibo Gao; Enhong Chen (Sci. China Inf. Sci., 2024)

IFM calculator: An algorithm for interfragmentary motion calculation in finite element analysis. - Jun Sun; Le Wu; Nan Fang; Lifeng Liu (Comput. Methods Programs Biomed., 2024)

Boosting Multimedia Recommendation via Separate Generic and Unique Awareness. - Zhuangzhuang He; Zihan Wang; Yonghui Yang; Haoyue Bai 002; Le Wu (CoRR, 2024)

PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs. - Shengwei Ji; Yujie Tian; Fei Liu 038; Xinlu Li; Le Wu (CoRR, 2024)

Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis. - Fei Liu 038; Yizhong Zhang; Shuochen Liu; Shengwei Ji; Kui Yu; Le Wu (CoRR, 2024)

Color Enhanced Cross Correlation Net for Image Sentiment Analysis. - Shulan Ruan; Kun Zhang 015; Le Wu; Tong Xu 001; Qi Liu 003; Enhong Chen (IEEE Trans. Multim., 2024)

Global and local neural cognitive modeling for student performance prediction. - Yu Su 002; Shuanghong Shen; Linbo Zhu; Le Wu; Zhenya Huang; Zeyu Cheng; Qi Liu 003; Shijin Wang 001 (Expert Syst. Appl., 2024)

Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. - Peijie Sun; Le Wu; Kun Zhang 015; Xiangzhi Chen 001; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. - Fei Liu 038; Chenyang Bu; Haotian Zhang; Le Wu; Kui Yu; Xuegang Hu (ACM Trans. Inf. Syst., 2024)

Average User-Side Counterfactual Fairness for Collaborative Filtering. - Pengyang Shao; Le Wu; Kun Zhang 015; Defu Lian; Richang Hong; Yong Li 008; Meng Wang 001 (ACM Trans. Inf. Syst., 2024)

Dual-Rail Precharge Logic-Based Side-Channel Countermeasure for DNN Systolic Array. - Le Wu; Liji Wu; Xiangmin Zhang; Munkhbaatar Chinbat (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Dual Graph Neural Networks for Dynamic Users' Behavior Prediction on Social Networking Services. - Junwei Li; Le Wu; Yulu Du; Richang Hong; Weisheng Li 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning. - Miaomiao Cai; Min Hou; Lei Chen 051; Le Wu; Haoyue Bai 002; Yong Li 008; Meng Wang 001 (ACM Trans. Intell. Syst. Technol., 2024)

Description-Enhanced Label Embedding Contrastive Learning for Text Classification. - Kun Zhang 015; Le Wu; Guangyi Lv; Enhong Chen; Shulan Ruan; Jing Liu 001; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hyperbolic Graph Learning for Social Recommendation. - Yonghui Yang; Le Wu; Kun Zhang 015; Richang Hong; Hailin Zhou; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning. - Dacao Zhang; Kun Zhang; Shimao Chu; Le Wu; Xin Li; Si Wei (ACL (Findings), 2025)

An Input Recovery Side-Channel Attack on Dnn Accelerator with Three-Dimensional Power Surface. - Le Wu; Liji Wu; Zhiwei Ba; Xiangmin Zhang (HOST, 2025)

InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models. - Min Hou; Yueying Wu 004; Chang Xu 008; Yu-Hao Huang 002; Chenxi Bai; Le Wu; Jiang Bian 002 (KDD (1), 2025)

Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. - Pengyang Shao; Yonghui Yang; Chen Gao 001; Lei Chen 051; Kun Zhang 015; Chenyi Zhuang; Le Wu; Yong Li 008; Meng Wang 001 (KDD (1), 2025)

Boosting Explainability through Selective Rationalization in Pre-trained Language Models. - Libing Yuan; Shuaibo Hu; Kui Yu; Le Wu (KDD (1), 2025)

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. - Zeyu Zhang 007; Jianxun Lian; Chen Ma 001; Yaning Qu; Ye Luo; Lei Wang 198; Rui Li 086; Xu Chen 017; Yankai Lin; Le Wu; Xing Xie 001; Ji-Rong Wen (NAACL (Findings), 2025)

Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective. - Yuxin Liao; Yonghui Yang; Min Hou; Le Wu; Hefei Xu; Hao Liu 078 (SIGIR, 2025)

Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. - Yonghui Yang; Le Wu; Yuxin Liao; Zhuangzhuang He; Pengyang Shao; Richang Hong; Meng Wang 001 (SIGIR, 2025)

Fair Personalized Learner Modeling Without Sensitive Attributes. - Hefei Xu; Min Hou; Le Wu; Fei Liu 038; Yonghui Yang; Haoyue Bai 002; Richang Hong; Meng Wang 001 (WWW, 2025)

Multi-view contrastive and cluster-guided learning for author name disambiguation. - Fan Ye; Zong Xia; Zhaolong Ling; Le Wu (Expert Syst. Appl., 2025)

An Active Multi-Target Domain Adaptation Strategy: Progressive Class Prototype Rectification. - Yanan Zhu; Jiaqiu Ai; Le Wu; Dan Guo 001; Wei Jia 001; Richang Hong (IEEE Trans. Multim., 2025)

Less is More: Information Bottleneck Denoised Multimedia Recommendation. - Yonghui Yang; Le Wu; Zhuangzhuang He; Zhengwei Wu; Richang Hong; Meng Wang 001 (CoRR, 2025)

MoLoRec: A Generalizable and Efficient Framework for LLM-Based Recommendation. - Min Hou; Chenxi Bai; Le Wu; Hao Liu 003; Kun Zhang 015; Kai Zhang 038; Richang Hong; Meng Wang 001 (CoRR, 2025)

An Evolutionary Multitasking Algorithm for Efficient Multiobjective Recommendations. - Ye Tian 009; Luke Ji; Yiwei Hu; Haiping Ma; Le Wu; Xingyi Zhang 001 (IEEE Trans. Artif. Intell., 2025)

Making Non-Overlapping Matters: An Unsupervised Alignment Enhanced Cross-Domain Cold-Start Recommendation. - Zihan Wang; Yonghui Yang; Le Wu; Richang Hong; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions. - Kun Zhang 015; Le Wu; Kui Yu; Guangyi Lv; Dacao Zhang (CoRR, 2025)

Data Augmentation for Seizure Prediction With Generative Diffusion Model. - Kai Shu; Le Wu; Yuchang Zhao; Aiping Liu; Ruobing Qian; Xun Chen 001 (IEEE Trans. Cogn. Dev. Syst., 2025)

Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation. - Haoyue Bai 002; Min Hou; Le Wu; Yonghui Yang; Kun Zhang 015; Richang Hong; Meng Wang 001 (IEEE Trans. Big Data, 2025)

EMCRL: EM-Enhanced Negative Sampling Strategy for Contrastive Representation Learning. - Kun Zhang 015; Guangyi Lv; Le Wu; Richang Hong; Meng Wang 001 (IEEE Trans. Comput. Soc. Syst., 2025)

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. - Wenbo Hu 001; Xin Sun; Qiang Liu 006; Le Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2025)

EduStudio: towards a unified library for student cognitive modeling. - Le Wu; Xiangzhi Chen 001; Fei Liu 047; Junsong Xie; Chenao Xia; Zhengtao Tan; Mi Tian; Jinglong Li; Kun Zhang 015; Defu Lian; Richang Hong; Meng Wang 001 (Frontiers Comput. Sci., 2025)

Breaking student-concept sparsity barrier for cognitive diagnosis. - Pengyang Shao; Kun Zhang 015; Chen Gao 001; Lei Chen 051; Miaomiao Cai; Le Wu; Yong Li 008; Meng Wang 001 (Frontiers Comput. Sci., 2025)