| 2026 | AAAI | RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation. | Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kai Zhang, Weiwen Liu, Richang Hong, Ruiming Tang, Meng Wang |
| 2026 | AAAI | MRGeo: Robust Cross-View Geo-Localization of Corrupted Images via Spatial and Channel Feature Enhancement. | Le Wu, Bo Lv, Songsong Ouyang, Yingying Zhu |
| 2026 | AAAI | Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation. | Hefei Xu, Le Wu, Chen Cheng, Hao Liu |
| 2026 | WWW | AlignCP: Noise-Aware Preference Alignment for LLMs via Confidence and Polarity Reweighting. | Chen Cheng, Hefei Xu, Le Wu |
| 2026 | WWW | WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging. | Min Hou, Xin Liu, Le Wu, Chenyi He, Hao Liu, Zhi Li, Xin Li, Si Wei |
| 2026 | WWW | Mitigating Fine-tuning Bias: A Parameter-Efficient Debiasing Framework for Large Language Models. | Qiuyu Li, Kun Zhang, Le Wu, Hao Liu, Hefei Xu, Xin Li, Si Wei |
| 2026 | WWW | VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models. | Hefei Xu, Le Wu, Yu Wang, Min Hou, Han Wu, Zhen Zhang, Meng Wang |
| 2026 | SIGIR | Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation. | Yu Wang, Yonghui Yang, Le Wu, Yi Zhang, Fei Liu, Richang Hong |
| 2025 | ACL | MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning. | Dacao Zhang, Kun Zhang, Shimao Chu, Le Wu, Xin Li, Si Wei |
| 2025 | CIKM | Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing. | Mi Tian, Kun Zhang, Fei Liu, Jinglong Li, Yuxin Liao, Chenxi Bai, Zhengtao Tan, Le Wu, Richang Hong |
| 2025 | CIKM | Trustworthy Knowledge Discovery and Data Mining (TrustKDD). | Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian |
| 2025 | KDD | InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models. | Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian |
| 2025 | KDD | Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. | Pengyang Shao, Yonghui Yang, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Yong Li, Meng Wang |
| 2025 | KDD | Boosting Explainability through Selective Rationalization in Pre-trained Language Models. | Libing Yuan, Shuaibo Hu, Kui Yu, Le Wu |
| 2025 | NAACL | TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. | Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen |
| 2025 | WWW | Fair Personalized Learner Modeling Without Sensitive Attributes. | Hefei Xu, Min Hou, Le Wu, Fei Liu, Yonghui Yang, Haoyue Bai, Richang Hong, Meng Wang |
| 2025 | SIGIR | Mitigating Distribution Shifts in Sequential Recommendation: An Invariance Perspective. | Yuxin Liao, Yonghui Yang, Min Hou, Le Wu, Hefei Xu, Hao Liu |
| 2025 | SIGIR | Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning. | Yonghui Yang, Le Wu, Yuxin Liao, Zhuangzhuang He, Pengyang Shao, Richang Hong, Meng Wang |
| 2024 | CIKM | Bots Shield Fake News: Adversarial Attack on User Engagement based Fake News Detection. | Lanjun Wang, Zehao Wang, Le Wu, An-An Liu |
| 2024 | IJCAI | Learning Fair Representations for Recommendation via Information Bottleneck Principle. | Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu |
| 2024 | KDD | Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias. | Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang |
| 2024 | KDD | Double Correction Framework for Denoising Recommendation. | Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang |
| 2024 | KDD | Graph Bottlenecked Social Recommendation. | Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang |
| 2024 | KDD | Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. | Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang |
| 2024 | SIGIR | Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. | Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang |
| 2023 | AAAI | Fair Representation Learning for Recommendation: A Mutual Information Perspective. | Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang |
| 2023 | CIKM | Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. | Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang |
| 2023 | KDD | Meta Multi-agent Exercise Recommendation: A Game Application Perspective. | Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu |
| 2023 | WWW | Improving Recommendation Fairness via Data Augmentation. | Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang |
| 2023 | SIGIR | RecStudio: Towards a Highly-Modularized Recommender System. | Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen |
| 2023 | SIGIR | Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. | Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang |
| 2023 | SIGIR | Generative-Contrastive Graph Learning for Recommendation. | Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang |
| 2022 | AAAI | Anisotropic Additive Quantization for Fast Inner Product Search. | Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen |
| 2022 | CIKM | Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms. | Haiping Ma, Manwei Li, Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang, Xuemin Zhao |
| 2022 | ICDM | Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. | Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu |
| 2022 | KDD | Incremental Cognitive Diagnosis for Intelligent Education. | Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang |
| 2022 | WWW | Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. | Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie |
| 2022 | SIGIR | Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. | Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu |
| 2022 | SIGIR | Forest-based Deep Recommender. | Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen |
| 2022 | SIGIR | ProFairRec: Provider Fairness-aware News Recommendation. | Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie |
| 2022 | SIGIR | A Review-aware Graph Contrastive Learning Framework for Recommendation. | Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li |
| 2021 | AAAI | Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. | Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan |
| 2021 | APWEB | Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. | Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge |
| 2021 | CIKM | Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. | Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu |
| 2021 | WWW | Learning Fair Representations for Recommendation: A Graph-based Perspective. | Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang |
| 2021 | SIGIR | Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. | Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang |
| 2021 | SIGIR | Privileged Graph Distillation for Cold Start Recommendation. | Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang |
| 2021 | SIGIR | Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. | Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang |
| 2020 | AAAI | Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. | Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang |
| 2020 | AAAI | Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. | Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen |
| 2020 | WWW | Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. | Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang |
| 2020 | SIGIR | Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. | Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang |
| 2020 | SIGIR | Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. | Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang |
| 2019 | AAAI | 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 |
| 2019 | AAAI | DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. | Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie |
| 2019 | IJCAI | Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. | Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu |
| 2019 | IJCAI | Personalized Multimedia Item and Key Frame Recommendation. | Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang |
| 2019 | KDD | Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. | Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li |
| 2019 | PAKDD | Context-Aware Dual-Attention Network for Natural Language Inference. | Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen |
| 2019 | SIGIR | A Neural Influence Diffusion Model for Social Recommendation. | Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang |
| 2018 | AAAI | Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence. | Xin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao |
| 2018 | CIKM | Multiple Pairwise Ranking with Implicit Feedback. | Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen |
| 2018 | ICDM | A Reinforcement Learning Framework for Explainable Recommendation. | Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie |
| 2018 | ICDM | Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. | Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu |
| 2018 | ICDM | Zero-Shot Learning: An Energy Based Approach. | Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen |
| 2018 | SIGIR | Attentive Recurrent Social Recommendation. | Peijie Sun, Le Wu, Meng Wang |
| 2017 | CIKM | Tracking Knowledge Proficiency of Students with Educational Priors. | Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu |
| 2017 | IJCAI | Incremental Matrix Factorization: A Linear Feature Transformation Perspective. | Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang |
| 2017 | KDD | Tracking the Dynamics in Crowdfunding. | Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu |
| 2016 | AAAI | Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. | Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang |
| 2016 | DASFAA | Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. | Ming He, Yong Ge, Le Wu, Enhong Chen, Chang Tan |
| 2016 | ICDM | Selecting Valuable Customers for Merchants in E-Commerce Platforms. | Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, Qi Liu |
| 2016 | PAKDD | Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. | Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu |
| 2015 | PAKDD | Identifying Hesitant and Interested Customers for Targeted Social Marketing. | Guowei Ma, Qi Liu, Le Wu, Enhong Chen |
| 2015 | PAKDD | Predicting Smartphone Adoption in Social Networks. | Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui |
| 2015 | SDM | Product Adoption Rate Prediction: A Multi-factor View. | Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tan |
| 2014 | ICDM | Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. | Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen |
| 2013 | ACML | Multi-Label Classification with Unlabeled Data: An Inductive Approach. | Le Wu, Min-Ling Zhang |
| 2013 | ISNN | Utilizing Social and Behavioral Neighbors for Personalized Recommendation. | Gang Xu, Linli Xu, Le Wu |
| 2012 | CIKM | Leveraging tagging for neighborhood-aware probabilistic matrix factorization. | Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang |