秦川，中国科学院计算机网络信息中心，副研究员，硕士生导师，中国科学院引进青年骨干人才（获择优支持）。长期从事数据挖掘、机器学习等领域研究，主要方向聚焦大模型、智能体、知识计算、认知计算、表征学习、AI4Science。曾在百度等多个互联网上市企业研究院担任资深研究员，拥有丰富的技术创新与应用实践经验，联合指导硕士、博士生20余位，毕业去向包括读博深造、百度文心、蚂蚁百灵等大模型团队，以及其他互联网企业重要算法研发岗位。在Proceedings of the IEEE (PIEEE)（封面论文），TKDE, TNNLS, TOIS, SIGKDD, SIGIR, NeurIPS, ACL, ICDE, TheWebConf, ICLR, AAAI等国内外顶级学术期刊、会议上发表论文70余篇，谷歌学术引用4800余次，发表/公开国内外专利40余项。曾荣获中国科学院院长奖、AI华人新星百强榜、百度奖学金全球20强、IEEE国际标准3154-2024杰出贡献奖、KDD-2018最佳学生论文奖、《中国科学：信息科学》2022年度热点论文奖、微软亚洲研究院“明日之星”等荣誉。

下述列表为部分论文，更及时论文发表信息请参考中国科学院大学主页信息：https://people.ucas.ac.cn/~qinchuan

1. Zhiheng Song, Jingshuai Zhang, Chuan Qin（通讯作者）, Chao Wang, Chao Chen, Longfei Xu, Kaikui Liu, Xiangxiang Chu, Hengshu Zhu. MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios. In Proceedings of the 32nd SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD-2026, Datasets and Benchmarks Track), 2026. 2026. 

2. Xi Chen, Chuan Qin（通讯作者）, Jinpeng Li, Shasha Hu, Chao Wang, Hengshu Zhu, Hui Xiong. GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery. In the 64th Annual Meeting of the Association for Computational Linguistics (ACL-2026), 2026.

3. Wenxi Xu, Chuan Qin（通讯作者）, Xi Chen, Chuyu Fang, Yuanchun Zhou, Hengshu Zhu. TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery. In the 64th Annual Meeting of the Association for Computational Linguistics (ACL-2026), 2026.

4. Chuan Qin（共同一作）, Xi Chen（共同一作）, Jinpeng Li（共同一作）, Hengshu Zhu. BOLT: Benchmarking Open-World Learning for Text Classification. In the 64th Annual Meeting of the Association for Computational Linguistics (Findings of ACL-2026), 2026.

5. Xi Chen, Chuan Qin（通讯作者）, Ziqi Wang, Shasha Hu, Chao Wang, Hengshu Zhu, Hui Xiong*. Beyond the Known: An Unknown-Aware Large Language Model for Open-Set Text Classification. In the Fourteenth International Conference on Learning Representations (ICLR-2026). 2026. 

6. Qi Zhou, Xi Chen, Chuyu Fang, Jianji Wang, Chuan Qin（通讯作者）, Fuzhen Zhuang. Enhancing Dual-Target Cross-Domain Recommendation via Similar User Bridging. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM-2025). 2025.

7. Chuan Qin, Zhang Le, Yihang Cheng, Rui Zha, Dazhong Shen, Qi Zhang, Xi Chen, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong. A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. Proceedings of the IEEE (PIEEE). 2025 (Featured on Cover)

8. Chuan Qin, Xin Chen, Chengrui Wang, Pengmin Wu, Xi Chen, Yihang Cheng, Jingyi Zhao, Meng Xiao, Xiangchao Dong, Qingqing Long, Boya Pan, Han Wu, Chengzan Li, Yuanchun Zhou, Hui Xiong, Hengshu Zhu. Scihorizon: Benchmarking ai-for-science readiness from scientific data to large language models. In Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (SIGKDD-2025), 2025. (Featured in Nature)

9. Zhenyu Tong（共同一作）, Chuan Qin（共同一作）, Chuyu Fang, Kaichun Yao, Xi Chen, Jingshuai Zhang, Chen Zhu, Hengshu Zhu. From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation. In Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining V.1 (SIGKDD-2025), 2025.

10. Tingjia shen, Hao Wang, Chuan Qin（通讯作者）, Ruijun Sun, Yang Song, Defu Lian, Hengshu Zhu, Enhong Chen. Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models. Big Data Mining and Analytics, 2025 

11. Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Fuzhen Zhuang, Hengshu Zhu. COTR: Efficient Job Task Recognition for Occupational Information Systems with Class-Incremental Learning. ACM Transactions on Management Information Systems (ACM TMIS), 2025.

12. Haiping Ma, Manwei Li, Chuan Qin（通讯作者）, Dazhong Shen, Hengshu Zhu, Xingyi Zhang, Hui Xiong. Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach. ACM Transactions on Management Information Systems (ACM TMIS), 2025

13. Xi Chen（共同一作）, Chuan Qin（共同一作）, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong. Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. In Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS-2024), 2024

14. Xiaoshan Yu, Chuan Qin（通讯作者）, Dazhong Shen, Haiping Ma, Le Zhang, Xinyi Zhang, Hengshu Zhu, Hui Xiong. RDGT: Enhancing Group Cognitive Diagnosis with Relation-Guided Dual-Side Graph Transformer. In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024

15. Xiaoshan Yu, Chuan Qin（通讯作者）, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang. RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. In Proceedings of the 30th SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD-2024), 2024.

16. Liyi Chen, Chuan Qin（通讯作者）, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong. Collaboration-Aware Hybrid Learning for Knowledge Development Prediction. In Proceedings of the Web Conference 2024 (WWW-2024), 2024.

17. Feihu Jiang, Chuan Qin（通讯作者）, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong. Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. In Proceedings of the 29th International Conference on Database Systems for Advanced Applications (DASFAA-2024), 2024.

18. Feihu Jiang, Chuan Qin（通讯作者）, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong. Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach. IEEE Conference on Multimedia Expo 2024 (ICME-2024), 2024.

19. Haiping Ma, Siyu Song, Chuan Qin（通讯作者）, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu. DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis. In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-2024), 2024.

20. Haiping Ma, Yong Yang, Chuan Qin（通讯作者）, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu. HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. In Proceedings of the Web Conference 2024 (WWW-2024), 2024.

21. Xiaoshan Yu, Chuan Qin（通讯作者）, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu. DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. In Proceedings of the IEEE International Conference on Data Mining 2024 (ICDM-2024), 2024.

22. Chuan Qin, Hengshu Zhu, Dazhong Shen, Ying Sun, Kaichun Yao, Peng Wang, Hui Xiong. Automatic Skill-oriented Question Generation and Recommendation for Intelligent Job Interviews. In ACM Transactions on Information Systems (ACM TOIS), 2023. 

23. Chuyu Fang（共同一作）, Chuan Qin（共同一作）, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong. RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment. In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD-2023), 2023. 

24. Yunfei Zhang（共同一作）, Chuan Qin（共同一作）, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu. ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. In proceedings of the 2023 IEEE International Conference on Data Mining (ICDM-2023), 2023.

25. Rui Zha, Chuan Qin（通讯作者）, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen. Career Mobility Analysis with Uncertainty-aware Graph Autoencoders: A Job Title Transition Perspective. In IEEE Transactions on Computational Social Systems (TCSS), 2023.

26. Kaichun Yao, Jingshuai Zhang, Chuan Qin（通讯作者）, Xin Song, Peng Wang, Hengshu Zhu, Hui Xiong. ResuFormer: Semantic Structure Understanding for Resumes via Multi-modal Pre-training. In Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE-2023), 2023.

27. Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong. Towards Automatic Job Description Generation with Capability-Aware Neural Networks. In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022.

28. Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong. An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment. In ACM Transactions on Information Systems (ACM TOIS), 2020.

29. 秦川，祝恒书，庄福振，郭庆宇，张琦，张乐，王超，陈恩红，熊辉，基于知识图谱的推荐系统研究综述.《中国科学: 信息科学》，2020. （《中国科学：信息科学》热点论文奖）

30. Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong. DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD-2019), 2019.