| Uncovering ChatGPT’s Capabilities in Recommender Systems S Dai, N Shao, H Zhao, W Yu, Z Si, C Xu, Z Sun, X Zhang, J Xu Proceedings of the 17th ACM Conference on Recommender Systems, 2023 | 234 | 2023 |
| Tool Learning with Large Language Models: A Survey C Qu, S Dai, X Wei, H Cai, S Wang, D Yin, J Xu, JR Wen Frontiers of Computer Science, 2025 | 64 | 2025 |
| Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era S Dai, C Xu, S Xu, L Pang, Z Dong, J Xu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 53* | 2024 |
| Neural Retrievers are Biased Towards LLM-Generated Content S Dai, Y Zhou, L Pang, W Liu, X Hu, Y Liu, X Zhang, G Wang, J Xu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 36* | 2024 |
| Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification X Zhang*, S Dai*, J Xu, Z Dong, Q Dai, JR Wen Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 25 | 2022 |
| Towards Completeness-Oriented Tool Retrieval for Large Language Models C Qu, S Dai, X Wei, H Cai, S Wang, D Yin, J Xu, JR Wen Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 12* | 2024 |
| Modeling User Attention in Music Recommendation S Dai, N Shao, J Zhu, X Zhang, Z Dong, J Xu, Q Dai, JR Wen 2024 IEEE 40th International Conference on Data Engineering (ICDE), 761-774, 2024 | 8 | 2024 |
| Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration S Dai, W Liu, Y Zhou, L Pang, R Ruan, G Wang, Z Dong, J Xu, JR Wen Findings of ACL 2024, 2024 | 7 | 2024 |
| Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction S Dai, Y Zhou, J Xu, JR Wen Proceedings of the 32st ACM International Conference on Information …, 2023 | 6 | 2023 |
| A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems Y Lyu*, S Dai*, P Wu, Q Dai, Y Deng, W Hu, Z Dong, J Xu, S Zhu, XH Zhou arXiv preprint arXiv:2202.11351, 2022 | 6 | 2022 |
| Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy C Zhang, S Chen, X Zhang, S Dai, W Yu, J Xu Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 5 | 2024 |
| From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions C Qu, S Dai, X Wei, H Cai, S Wang, D Yin, J Xu, JR Wen The Thirteenth International Conference on Learning Representations (Oral, 1.8%), 2025 | 4 | 2025 |
| ReCODE: Modeling Repeat Consumption with Neural ODE S Dai, C Qu, S Chen, X Zhang, J Xu Proceedings of the 47th international ACM SIGIR conference on research and …, 2024 | 3 | 2024 |
| Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning J Tang, S Dai, Z Sun, X Chen, J Xu, W Yu, L Hu, P Jiang, H Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
| Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop Y Zhou, S Dai, L Pang, G Wang, Z Dong, J Xu, JR Wen arXiv preprint arXiv:2405.17998, 2024 | 2 | 2024 |
| SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback K Zhang, T Shi, S Dai, X Zhang, Y Li, J Lu, X Zang, Y Song, J Xu Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 1 | 2024 |
| Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era S Dai, C Xu, S Xu, L Pang, Z Dong, J Xu Proceedings of the Eighteenth ACM International Conference on Web Search and …, 2025 | | 2025 |
| CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning Y Zhou, S Wang, S Dai, Q Jia, Z Du, Z Dong, J Xu arXiv preprint arXiv:2503.03743, 2025 | | 2025 |
| Few-shot LLM Synthetic Data with Distribution Matching J Ren, Z Du, Z Wen, Q Jia, S Dai, C Wu, Z Dong The Web Conference 2025, Industry Track, 2025 | | 2025 |
| CitaLaw: Enhancing LLM with Citations in Legal Domain K Zhang, W Yu, S Dai, J Xu arXiv preprint arXiv:2412.14556, 2024 | | 2024 |
Jun XuProfessor, Gaoling School of Artificial Intelligence, Renmin University of ChinaEmail confirmado em ruc.edu.cn