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，入选中国科学院青年骨干项目（获择优支持）。长期从事数据挖掘、机器学习等领域研究，主要方向聚焦知识计算、认知计算、表征学习、大模型、智能体、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，毕业去向包括百度文心、蚂蚁百灵、阿里千问等大模型团队，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），IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), ACM Transactions on Information Systems (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4700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。

【研究方向】：知识计算、大模型、智能体、AI4Science、表征学习、认知计算

【招生方向】：（学术型/专业型）：计算机应用技术，计算机技术

​https://dylan-qin.github.io/

2015-09--2021-06   中国科学技术大学   计算机应用技术，工学博士
2011-09--2015-07   中国科学技术大学   计算机科学与技术，工学学士

2024-09~2024-11,香港科技大学（广州）, 协理副校长特别研究助理，Research Fellow
2023-05~2024-07,北京华品博睿网络技术有限公司（BOSS直聘）, 高级研究员
2021-06~2023-05,百度在线网络技术（北京）有限公司, 资深算法工程师

(* Corresponding Authors, + Co-first Authors)

In the Year of 2026:

• Zhiheng Song+, Jingshuai Zhang+, Chuan Qin*, 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. [technical report] [Github] 
• Xiaohan Huang, Meng Xiao, Chuan Qin, Qingqing Long, Jinmiao Chen, Yuanchun Zhou, Hengshu Zhu. SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding. In Proceedings of the 32nd SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD-2026, Datasets and Benchmarks Track), 2026. [technical report][SciHorizon-GENE]
• Dianyu Liu, Chuan Qin, Xi Chen, Xiaohan Li, Wenxi Xu, Yuyang Wang, Xin Chen, Yuanchun Zhou, Hengshu Zhu. SciHorizon-DataEVA: An Agentic System to Scalable AI-Readiness Evaluation of Heterogeneous Scientific Data. In Proceedings of the 32nd SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD-2026, AI for Sciences Track), 2026.
• Wei Zeng, Hengshu Zhu, Chuan Qin, Han Wu, Yihang Cheng, Yinuo Shen, Zhe Wang, Yuyang Wang, Sirui Zhang, Xiaowei Jin, Zhenxing Wang, Feimin Zhong, Hui Xiong. A Survey on Value Alignment in Agentic AI Systems. In the 35th International Joint Conference on Artificial Intelligence (IJCAI-2026, Survey Track), 2026. [technical report] [Github]
• Xi Chen, Chuan Qin*, 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.
• Wenxi Xu, Chuan Qin*, 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.
• Jiaming Leng, Yunying Bi, Chuan Qin, Zhenya Huang, Bing Yin, Haojie Ren, Yanyong Zhang, Chao Wang. TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting. In the 64th Annual Meeting of the Association for Computational Linguistics (ACL-2026), 2026.
• Chuan Qin+, Xi Chen+, Jinpeng Li+, 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.
• Yunchu Bai, Chao Wang, Ying Sun, Chuan Qin, Wei Wu, Hui Xiong. Graph-based Prompt Learning with Mixture of Experts for Multi-task Corporate Profiling. ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 2026. [paper]
• Yuhan Su, Hongke Zhao, Chuan Qin, Dazhong Shen, Hengshu Zhu. AI-Driven Skill Keyword Suggestion for Multi-Round Interviews: A Graph-Based Topic Approach. Information Processing and Management (IPM), 2026. [paper]
• Xi Chen, Chuan Qin*, 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. [paper]
• Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong. Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models. In the Fortieth AAAI Conference on Artificial Intelligence (AAAI-2026). 2026. [technical report]
• Fuling WANG, Le Zhang, Jingbo Zhou, Jindong Han, Ying Sun, Chuan Qin, Hengshu Zhu, Hui Xiong. ARADD: An Automatic Real-World API Discovery and Deployment Framework for AI Guide Service in Baidu Map. In the Web Conference 2026 (WWW-2026). 2026 [paper]

In the Year of 2025:

• Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong. A Comprehensive Survey on Self-Interpretable Neural Networks. Proceedings of the IEEE (PIEEE). 2025 [paper]
• Chao Wang, Yixin Song, Jinhui Ye, Chuan Qin, Dazhong Shen, Lingfeng Liu, Xiang Wang, Yanyong Zhang. FACE: A general Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens. In the Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS-2025). 2025. [paper]
• Qi Zhou+, Xi Chen+, Chuyu Fang, Jianji Wang, Chuan Qin*, 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. [paper]
• 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 [paper][technical report] (Featured on Cover)
• 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. [paper][technical report] (Featured in Nature)
• Xiaoshan Yu, Shangshang Yang, Jian Li, Ziwen Wang, Chuan Qin, Haiping Ma, Xingyi Zhang. Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective. In Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (SIGKDD-2025), 2025.
• Zhenyu Tong+, Chuan Qin+, 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. [paper]
• Tingjia shen, Hao Wang*, Chuan Qin*, 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 [paper]
• Chen Zhu, Xiao Hu, Han Wu, Chuan Qin, Hengshu Zhu, Hui Xiong. Enhancing Job Recommendations with LLM-based Resume Completion: A Behavior-Denoised Alignment Approach. Information Processing and Management (IPM), 2025 [paper]
• 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. [paper]
• Haiping Ma, Manwei Li, Chuan Qin*, 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. [paper]

In the Year of 2024:

• Xi Chen+, Chuan Qin+, 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. [paper]
• Xiaoshan Yu, Chuan Qin*, 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. [paper]
• Xiaoshan Yu, Chuan Qin*, 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. [paper]
• Liyi Chen, Chuan Qin*, 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. [paper]
• Xiaoshan Yu, Chuan Qin*, 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.
• Feihu Jiang, Chuan Qin*, 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. [paper]
• Feihu Jiang, Chuan Qin*, 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. [paper]
• Haiping Ma, Siyu Song, Chuan Qin*, 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. [paper]
• Haiping Ma, Yong Yang, Chuan Qin*, 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. [paper]
• Dazhong Shen, Chuan Qin, Qi Zhang, Hengshu Zhu, Hui Xiong. Handling Over-Smoothing and Over-Squashing in Graph Convolution with Maximization Operation. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024. [paper]
• Rui Zha, Ying Sun, Chuan Qin, Le Zhang, Tong Xu, Hengshu Zhu, Enhong Chen. Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph. ACM Transactions on Information Systems (ACM TOIS), 2024. [paper]
• Kaichun Yao, Hao Wang, Chuan Qin, Hengshu Zhu, Yanjun Wu, Libo Zhang. Unsupervised Code-Based Adversarial Attacks for Programming Language Models via Reinforcement Learning. ACM Transactions on Software Engineering and Methodology (ACM TOSEM）, 2024. [paper]
• Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong. Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting. In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-2024), 2024. [paper]
• Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu. Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. In Proceedings of the 30th SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD-2024), 2024. [paper]
• Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong. AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2024), 2024. [paper]
• Shasha Hu, Chao Wang, Chuan Qin, Hengshu Zhu, Hui Xiong. Super-node Generation for GNN-based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening. In Proceedings of the 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024). 2024. [paper]
• Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen, A Survey on Large Language Models for Recommendation, World Wide Web (WWWJ), 2024. [paper]

In the Year of 2023:

• 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. [paper]
• Chuyu Fang+, Chuan Qin+, 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. [paper]
• Yunfei Zhang+, Chuan Qin+, 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. [paper]
• Rui Zha, Chuan Qin*, 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. [paper]
• Kaichun Yao, Jingshuai Zhang, Chuan Qin*, 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. [paper]
• Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong. SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. In ACM Transactions on Information Systems (ACM TOIS), 2023. [paper]
• Haiping Ma, Yi Zeng, Yang Shuangshuang, Chuan Qin, Xingyi Zhang, Limiao Zhang. A Novel Computerized Adaptive Testing Framework with Decoupled Learning Selector. Complex \& Intelligent Systems, 2023. [paper]
• Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong. Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction. The 16th International Conference on Knowledge Science, Engineering and Management (KSEM 2023), 2023. [paper]
• Shuhuan Liu, Xiaoshan Yu, Haiping Ma, Ziwen Wang, Chuan Qin, Xingyi Zhang. Homogeneous Cohort-Aware Group Cognitive Diagnosis: A Multi-grained Modeling Perspective. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM-2023), 2023. [paper]

In the Year of 2022:

• 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. [paper]
• Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong. Knowledge Enhanced Person-Job Fit for Talent Recruitment. In Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE-2022), 2022. [paper]
• Zhe Zhang, Hui Xiong, Tong Xu, Chuan Qin, Le Zhang, Enhong Chen. Complex Attributed Network Embedding for Medical Complication Prediction. In Knowledge and Information Systems (KAIS), 2022. [paper]
• Le Dai, Yu Yin, Chuan Qin, Enhong Chen, Hui Xiong. Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation. In Proceedings of the 22nd IEEE International Conference on Data Mining (ICDM-2022), 2022. [paper]

In the Year of 2021:

• Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong. Joint Representation Learning with Relation-enhanced Topic Models for Intelligent Job Interview Assessment. In ACM Transactions on Information Systems (ACM TOIS), 2021. [paper]
• Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong. Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-2021), 2021. [paper]
• Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong. Topic Modeling Revisited: A Document Graph-based Neural Network Perspective. In Proceedings of the 35th Conference on Neural Information Processing Systems. (NeurIPS-2021), 2021. [paper]
• Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong. Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. In Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS-2021), 2021. [paper]
• Kaichun Yao, Chuan Qin, Hengshu Zhu, Chao Ma, Jingshuai Zhang, Yi Du. Hui Xiong. An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment. In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM-2021), 2021. [paper]
• Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong. A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. In Proceedings of the International Joint Conference on Neural Networks (IJCNN-2021), 2021. [paper]
• Yuqing Zhao, Xi Zhang, Xinlin Tang, Chuan Qin, Hengshu Zhu. Embedding Fairness into the AI-Based Talent Recruitment Systems: The Perspective of Environment Cycle and Knowledge Cycle. In Proceedings of the Twenty-fifth Pacific Asia Conference on Information Systems (PACIS-2021), 2021. [paper]

In the Year of 2020:

• 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. [paper]
• 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） [paper]
• Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong. Enterprise Cooperation and Competition Analysis with Sign-Oriented Preference Network. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD-2020), 2020. [paper]
• Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong. Enhong Chen, Large-Scale Talent Flow Embedding for Company Competitive Analysis. In Proceedings of the 31st Web Conference (WWW-2020), 2020. [paper]
• Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong, SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-2020), 2020 [paper]
• Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He, A Survey on Knowledge Graph-Based Recommender Systems. In IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2020. [paper]
• Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent Zheng, Tong Xu, Enhong Chen, Adam Revisited: A Weighted Past Gradients Perspective, Frontiers of Computer Science (FCS), 2020. [paper]
• 郑值，徐童，秦川，廖祥文，郑毅，刘同柱，童贵显, 基于多源情境协同感知的药品推荐. 《计算机研究与发展》, 2020.

Before 2020:

• 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. [paper]
• Le Zhang, Chen Zhu, Hengshu Zhu, Tong Xu, Enhong Chen, Chuan Qin, Hui Xiong. Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model. In Proceedings of the 30th Web Conference (WWW-2019), 2019. [paper]
• Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong. Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2018), 2018. [paper]
• Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen. XiaoIce Band: A Melody and Arrangement Generation Framework for PopMusic. In Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD-2018), 2018. (Best Student Paper Award of Research Track) [paper]
• Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du, How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-2018), 2018. [paper]
• Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, and Hui Xiong. Exploiting Topic-based Adversarial Neural Network for Cross-domain Keyphrase Extraction. In Proceedings of the 18th International Conference on Data Mining (ICDM-2018), 2018. [paper]
• Yingzi Wang, Nicholas Yuan, Yu Sun, Chuan Qin, Xing Xie. App download forecasting: an evolutionary hierarchical competition approach. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI-2017), 2017. [paper]