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

Tutorials

1. 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]
2. 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]
3. 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, 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)
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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)
10. 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)
11. 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]
12. 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]
13. 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]
14. 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]
15. 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]
16. 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, 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]
2. Qidong Liu, Xian Wu*, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao*, Feng Tian* and Yefeng Zheng, Large Language Model Empowered Embedding Generator for Sequential Recommendation, arXiv preprint arXiv:2409.19925. [PDF] [CODE]
3. Ziwei Liu^, Qidong Liu^, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao*, Bidirectional Gated Mamba for Sequential Recommendation, arXiv preprint arXiv:2408.11451. [PDF] [CODE]
4. 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]