Publications

• Tianyu Zhu, Jiandong Ding, Yansong Shi, Guoqing Chen, Jian-Yun Nie. Mitigating Popularity Bias in Recommendation with Global Listwise Learning and Progressive Bi-Weighting. TOIS 2026. Paper Code
• Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie. Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. WSDM 2024 (oral). Paper Code
• Yihong Wu, Le Zhang, Fengran Mo, Tianyu Zhu, Weizhi Ma, Jian-Yun Nie. Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering. KDD 2024. Paper Code
• Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, Jian-Yun Nie. History-Aware Conversational Dense Retrieval. ACL Findings 2024. Paper Code
• Tianyu Zhu, Leilei Sun, Guoqing Chen. Graph-based Embedding Smoothing for Sequential Recommendation. TKDE 2021. Paper Code
• Tianyu Zhu, Leilei Sun, Guoqing Chen. Embedding Disentanglement in Graph Convolutional Networks for Recommendation. TKDE 2021. Paper Code
• Tianyu Zhu, Guannan Liu, Guoqing Chen. Social Collaborative Mutual Learning for Item Recommendation. TKDD 2020. Paper Code

Working Papers

• Tianyu Zhu, Qiutong Li, Xiao Han, Junjie Wu. Assessing Membership Leakage in Sequential Recommender Systems via Target–Surrogate Performance Discrepancy Analysis.
• Junjie Wu, Hongming Bi, Tianyu Zhu. Data-Centric Fairness Governance in Click-Through Rate Prediction: An Influence-Guided Pruning Approach. (corresponding author)
• Haoran Cui, Yuan Zuo, Tianyu Zhu, Junjie Wu. Beyond Static Attributes: Attribute Semantic Evolution Modeling for Robust and Temporally Coherent Sequential Recommendation. (corresponding author)
• Hongming Bi, Tianyu Zhu, Junjie Wu. LIPA: Label-Only Fairness Poisoning via Influence-Guided Directional Gradient Matching. (corresponding author)