2026:
- Haiping Zhu, Shuaijie He, Ziyu Wang, Qidong Liu, Xinzhu Bai, JiaHao Li, Yan Chen, Nazaraf Shah, Sibo Cai, Feng Tian. Multimodal Sequential Recommendation of On-line courses with MLLM-Enhanced Semantic Edge Embedding, AAAI 2026 Workshop Artificial Intelligence for Education (AI4Edu’26)
2025:
- 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. The 31st SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD’25) CCF-A
- 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) CCF-A
- 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) CCF-A
- Ziwei Liu^, Qidong Liu^(共同一作), 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) CCF-A
- 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) CCF-A
- 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) CCF-A
- 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) CCF-A
- 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) CCF-A
- 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) CCF-A
- 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) CCF-A
- 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) CCF-A
- 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) CCF-B
- 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) CCF-B
2024:
- 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) CCF-A
- 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) CCF-A
- 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) 中科院一区Top IF=28.0 高被引论文
- 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) CCF-A
- 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) CCF-A
- 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) CCF-A
- 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) CCF-B
- 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) CCF-B
- 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) CCF-B
2023及以前:
- 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) CCF-B
- 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) CCF-B
- Chengxi Li^, Yejing Wang^, Qidong Liu^(共同一作), 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) CCF-B
- 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) CCF-A
- 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) CCF-B
- 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)
- 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.
- 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)
Preprint:
- 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.
- Yuqi Sun^, Qidong Liu^(共同一作), Haiping Zhu and Feng Tian. LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation, arXiv preprint arXiv:2503.12547.
- Ziwei Liu^, Qidong Liu^(共同一作), Wanyu Wang, Yejing Wang, Peng Chuan, Tong Xu, Wei Huang, Chong Chen and Xiangyu Zhao. LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training. arXiv preprint arXiv:2511.19931.
- Ziwei Liu, Yejing Wang, Qidong Liu, Zijian Zhang, Chong Chen, Wei Huang and Xiangyu Zhao. The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation. arXiv preprint arXiv:2512.10388.
- Derong Xu, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Maolin Wang, Qidong Liu, Xiangyu Zhao, Yichao Wang, Huifeng Guo, Ruiming Tang, Enhong Chen and Tong Xu. Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation. arXiv preprint arXiv:2505.16237.
- Xiangyu Zhao, Yichao Wang, Bo Chen, Jingtong Gao, Yuhao Wang, Xiaopeng Li, Pengyue Jia, Qidong Liu, Huifeng Guo and Ruiming Tang. Joint Modeling in Recommendations: A Survey. arXiv preprint arXiv:2502.21195.
- 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.
- 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 .