| 2026 | ACL | MemRec: Collaborative Memory-Augmented Agentic Recommender System. | Weixin Chen, Yuhan Zhao, Jingyuan Huang, Zihe Ye, Mingxuan Ju, Tong Zhao, Neil Shah, Li Chen, Yongfeng Zhang |
| 2026 | EACL | H-Mem: Hybrid Multi-Dimensional Memory Management for Long-Context Conversational Agents. | Zihe Ye, Jingyuan Huang, Weixin Chen, Yongfeng Zhang |
| 2026 | WWW | Post-Training Fairness Control: A Single-Train Framework for Dynamic Fairness in Recommendation. | Weixin Chen, Li Chen, Yuhan Zhao |
| 2026 | WWW | The Double-Edged Sword of Knowledge Transfer: Diagnosing and Curing Fairness Pathologies in Cross-Domain Recommendation. | Yuhan Zhao, Weixin Chen, Li Chen, Weike Pan |
| 2025 | RecSys | Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users. | Weixin Chen, Yuhan Zhao, Li Chen, Weike Pan |
| 2024 | ICML | GRATH: Gradual Self-Truthifying for Large Language Models. | Weixin Chen, Dawn Song, Bo Li |
| 2023 | CVPR | TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets. | Weixin Chen, Dawn Song, Bo Li |
| 2022 | RecSys | Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. | Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming |