Prof. Qidong Liu
Contact
liuqidong@xjtu.edu.cn
Google Scholar Profile
Personal Website
Research Interests
- Recommender Systems
- Large Langauge Models
- Intelligent Healthcare
Education and Work Experience
| Year | Degree | School |
|---|---|---|
| 2019-2025 | Ph.D. in Control Science and Egineering | Xi’an Jiaotong University |
| 2022-2026 | Ph.D. in Data Science | City University of Hong Kong |
| 2023-2024 | Research Internship | Tencet Jarvis Lab |
| 2015-2019 | B.E. in Automation | Xi’an Jiaotong University |
Acdemic Services
- Committee Member: CIPS-LMG (中文信息学会大模型与生成专业委员会)
- Conference Reviewer: NeurIPS, ICML, ICLR, KDD, SIGIR, WWW, CVPR, AAAI, IJCAI, MM, CIKM, WSDM, RecSys, SIGIR-AP, ECAI
- Journal Reviewer: TOIS, TKDE, TKDD, T-PAMI, TIST, TNNLS, TVT, TCSS, IPM, TOMM, KBS, ESWA, Scientific Reports
- Session Chair: “Session 9G Sequence Modeling 6” in CIKM’23, “Session Speech 1” in AAAI’25
- Volunteer: IJCAI’23, AAAI’25
- Tutorial Organizer: KDD’25, WWW’25, WWW’23, IJCAI’23, KDD’23
Project Experience
- 2025.5 - 2027.5, “Industries-Universities-Research” Project of Shaanxi Province (陕西省产学研后补助项目)
- 2026.1 - 2027.12, Post-Doctoral Research Project of Shaanxi Province (陕西省博士后科研项目资助)
Teaching Experience
- [2025.10] Invited Talk: Large Language Model Enhancement for Recommender Systems: Methods and Progress. 🏫 Zhejiang University of Technology [News]
- [2025.10] Invited Talk: Large Language Model Enhancement for Recommender Systems: Methods and Trends. 🌋Kuaishou Technology
- [2025.8] Tutorial Speaker: Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends. 🌐 The 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’25) [Website]
- [2025.4] Tutorial Speaker: Joint Modeling in Deep Recommender Systems. 🌐 The ACM Web Conference (WWW’25)
- [2024.11] Invited Talk: Trend and Progress in LLM for Recommendation. 🌋OPPO Research Institute
- [2024.6] Invited Talk: A Survey on Multimodal Recommender System. 🌋 DataFunSummit 2024 [POSTER]
- [2023.8] Tutorial Speaker: Trustworthy Recommender Systems: Foundations and Frontiers. 🌐 The 32nd International Joint Conference on Artificial Intelligence (IJCAI’23) [Website]
- [2023.8] Tutorial Speaker: Trustworthy Recommender Systems: Foundations and Frontiers. 🌐 The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’23) [Website]
- [2023.5] Tutorial Speaker: Trustworthy Recommender Systems. 🌐 The ACM Web Conference (WWW’23) [Website]
- [2023.3] Invited Talk: Pretrain Model for Multi-center Medication Recommendation. 🌋 Hong Kong Institute for Data Science [POSTER]
- [2021.7] Invited Talk: Intelligent Tutor System. 🏫 National University of Defense Technology
- [2020] Teaching Assistant: Big Data analytic and knowledge discovery. 🏫 Xi’an Jiaotong Univeristy
Publications
- 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: Methods, Applications and Trends. The 31st SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD’25) [PDF] [Repo] [中文解读1] [Website]
- Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang and Feng Tian, Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation, The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’25) [PDF] [CODE][中文解读]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang. TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting. The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS’ 25)
- Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang. SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems. The 34th ACM International Conference on Information and Knowledge Management (CIKM’25)
- Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xiao Han, Qidong Liu, Xuetao Wei, Yuxuan Liang. Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision. The 31st SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD’25)
- 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. The 63rd Annual Meeting of the Association for Computational Linguistics. (ACL’25) [PDF]
- Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao. Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. The 63rd Annual Meeting of the Association for Computational Linguistics. (ACL’25 Findings)
- Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian. A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs. The 63rd Annual Meeting of the Association for Computational Linguistics. (ACL’25 Findings)
- 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)
- 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)
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- Haiping Zhu, Chengcheng Zhao, Qidong Liu, Qinghua Zheng, Jiangwei Zeng, Feng Tian* and Yan Chen, Reciprocal-Constrained Interpretable Job Recommendation. Journal of Computer Research and Development. [PDF]