“^” represents equal contribution, “*” represents the corresponding author

Tutorials

1. Pengyue Jia, Jingtong Gao, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo and Ruiming Tang, Joint Modeling in Deep Recommender Systems, The Web Conference 2025 (WWW’25)
2. Wenqi Fan, Xiangyu Zhao, Xiao Chen, Lin Wang, Jingtong Gao, Qidong Liu, Lin Wang, Trustworthy Recommender Systems: Foundations and Frontiers, 29th ACM SIGKDD Conference on Knowledge Discoverry & Data Mining (KDD’23) [website]
3. Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingtong Gao, Qidong Liu, Lin Wang, Trustworthy Recommender Systems: Foundations and Frontiers, 30th International Joint Conference on Artificial Intelligence (IJCAI’23) [website]
4. Wenqi Fan, Xiangyu Zhao , Xiao Chen, Jingtong Gao, Lin Wang, Qidong Liu, Trustworthy Recommender Systems , The Web Conference 2023 (WWW’23) [website]

Conference & Journal Papers

1. Qidong Liu, Xian Wu*, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao*, Feng Tian* and Yefeng Zheng, LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI’25, Oral). [PDF] [CODE] [中文解读]
2. Ziwei Liu^, Qidong Liu^, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang and Xiangyu Zhao*, SIGMA: Selective Gated Mamba for Sequential Recommendation, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI’25). [PDF] [CODE]
3. Qidong Liu, Zhaopeng Qiu, Xiangyu Zhao*, Xian Wu*, Zijian Zhang, Tong Xu and Feng Tian*, A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation, ACM Transactions on Information Systems (TOIS’25) [PDF] [CODE] [中文解读]
4. Qidong Liu, Xian Wu*, Xiangyu Zhao*, Yejing Wang, Zijian Zhang, Feng Tian* and Yefeng Zheng, LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation, The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS’24, Spotlight) [PDF] [CODE] [中文解读1] [中文解读2]
5. Qidong Liu^, Jiaxi Hu^, Yutian Xiao^, Xiangyu Zhao*, Jingtong Gao, Wangyu Wang, Qing Li, Jiliang Tang, Multimodal Recommender Systems: A Survey, ACM Computing Surveys. (CSUR’24) [Repo] [PDF] [中文解读1] [中文解读2] [PPT]
6. Qidong Liu, Xian Wu*, Xiangyu Zhao*, Yuanshao Zhu, Derong Xu, Feng Tian* and Yefeng Zheng, When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications, The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’24) [PDF] [CODE] [中文解读1] [中文解读2] [中文解读3]
7. Qidong Liu, Fan Yan, Xiangyu Zhao*, Zhaocheng Du, Huifeng Guo, Ruiming Tang and Feng Tian. Diffusion Augmentation for Sequential Recommendation. The 32nd International Conference on Information and Knowledge Management (CIKM’23) [PDF] [CODE] [中文解读]
8. Qidong Liu, Feng Tian*, Qinghua Zheng and Qiangying Wang. Disentangling Interest and Conformity for Eliminating Popularity Bias in Session-Based Recommendation. Knowledge and Information Systems (KAIS’23) [PDF]
9. Qidong Liu, Feng Tian*, Weihua Ji and Qinghua Zheng. A new representation learning method for individual treatment effect estimation: Split covariate representation network. The 12th Asian Conference on Machine Learning (ACML’20) [PDF]
10. Chengxi Li^, Yejing Wang^, Qidong Liu^, Xiangyu Zhao*, Wangyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan and Qing Li. STRec: Sparse Transformer for Sequential Recommendations. The 17th ACM Conference on Recommender Systems (RecSys’23) [PDF] [CODE]
11. Yejing Wang, Chi Zhang, Xiangyu Zhao*, QidongLiu, Maolin Wang, Xuetao Wei, Zitao Liu, XingShi, Yang Xudong, Ling Zhong, Wei Lin. Behavior Modeling Space Reconstruction for E-Commerce Search. The ACM Web Conference 2025 (WWW’25)
12. Fang Nan, Ni Zhang, Qidong Liu, Wei Jing, Guang Dai, Yan Chen and Feng Tian*. Exploring Triple Knowledge Cues for Zero-Shot Human-Object Interaction Detection. 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’25)
13. Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang, LLM-Powered Efficient User Simulator for Recommender System, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI’25) [PDF] [CODE]
14. Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu*, Tong Xu*, Xiangyu Zhao*, Yefeng Zheng and Enhong Chen, Mitigating Hallucinations of Large Language Models in Medical Domain via Contrastive Decoding, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP’24 Findings) [PDF] [CODE]
15. Yejing Wang, Dong Xu, Xiangyu Zhao*, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, and Qidong Liu, Bi-level User Modeling for Deep Recommender Systems, International Conference on Data Mining (ICDM’24) [PDF] [CODE]
16. Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao*, Yefeng Zheng, Enhong Chen, Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models, The 33rd ACM International Conference on Information and Knowledge Management (CIKM’24) [PDF] [CODE]
17. Yuanshao Zhu, James Jianqiao Yu*, Xiangyu Zhao*, Qidong Liu, Yongchao Ye, Chen Wei, Zijian Zhang, Xuetao Wei, Yuxuan Liang*. ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. The 30th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’24) [PDF] [CODE]
18. Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao*, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang and Kun Gai. M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’24). [PDF] [CODE]
19. Zijian Zhang, Xiangyu Zhao*, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang and Zitao Liu, Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. The 32nd International Conference on Information and Knowledge Management (CIKM’23) [PDF] [CODE]
20. Yuhao Wang, Xiangyu Zhao*, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang and Ruiming Tang, PLATE: A Prompt-enhanced Paradigm for Multi-Target Cross-Domain Recommendation, The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’23) [PDF] [CODE]
21. Fang Nan, Feng Tian, Yaozhi Wang, Qidong Liu, Yanze Wu, Jizhong Zhang, Huan Li, Haiping Zhu, Yuzhe Yao, Heng Zhang, Yaqiang Wu and Qinghua Zheng. Inferring Actions and Joint Attention From Dual-view Classroom Videos, AAAI 2023 Workshop Artificial Intelligence for Education (AI4Edu’23) [PDF]

Pre-print Papers

1. Qidong Liu, Xiangyu Zhao*, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian*. Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future. arXiv preprint arXiv:2412.13432. [PDF] [Repo] [中文解读1]
2. Qidong Liu, Xian Wu*, Xiangyu Zhao*, Yuanshao Zhu, Zijian Zhang, Feng Tian* and Yefeng Zheng, Large Language Model Distilling Medication Recommendation Model, arXiv preprint arXiv:2402.02803. [PDF] [CODE]
3. Shilin Sun, Wenbin An, Feng Tian*, Fang Nan, Qidong Liu, Jun Liu, Nazaraf Shah, Ping Chen. A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future. arXiv preprint arXiv:2412.14056. [PDF] [中文解读1] [Repo]
4. Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang. AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems. arXiv preprint arXiv:2412.08516. [PDF]
5. Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu. Stepwise Reasoning Error Disruption Attack of LLMs. arXiv preprint arXiv:2412.11934. [PDF]
6. Wenqi Fan, Xiangyu Zhao*, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li, A Comprehensive Survey on Trustworthy Recommender Systems. arXiv preprint arXiv:2209.10117 . [PDF]