刘 淇
电 话：0551-63601391
E-mail：qiliuql@ustc.edu.cn
个人主页：http://staff.ustc.edu.cn/~qiliuql/
主要研究方向：数据挖掘与知识发现、认知智能及其应用
刘淇，男，认知智能全国重点实验室、人工智能与数据科学学院教授，博士生导师，中国科学院青年创新促进会优秀会员、教育部教育考试院学术委员会委员、中国计算机学会(CCF)会员、中国人工智能学会(CAAI)会员、CAAI智能服务专委会副主任、IEEE/ACM会员。2013年获中国科学技术大学计算机应用技术专业博士学位，2025年11月起任中国科大科研部副部长（平台管理处处长），曾任人工智能与数据科学学院副院长、校团委副书记和创新创业学院副院长（兼）。主要研究数据挖掘与知识发现、机器学习、认知智能及其应用，以第一/通讯作者在Nature Machine Intelligence和IEEE TPAMI、TKDE、ACM TOIS、KDD、WWW、ICML、NeurIPS、ICLR、ACL、《中国科学：信息科学》等CCF推荐的A类期刊/会议等发表论文100余篇。相关成果获KDD、ICDM、SDM、CIKM、WSDM等国际会议的论文奖励。还曾获中国科学院院长特别奖和优秀博士学位论文奖、教育部自然科学一等奖（2018年，排名第2）、中国科学院优秀导师、阿里巴巴达摩院青橙奖，入选了智源学者、中国科协“青年人才托举工程”&&CCF青年人才托举计划（2017年）、微软亚洲研究院青年学者“铸星计划”、CCF-Intel青年学者提升计划等。担任IEEE Transactions on Learning Technologies、IEEE Transactions on Big Data和NeuroComputing等期刊编委以及《中国科学：信息科学》（中英文）青年编委，是IEEE TKDE、ACM TKDD等10余个学术期刊的审稿人，担任ICML、IJCAI、KDD、AAAI、WWW等重要国际学术会议的程序委员会委员或分会主席。主持了国家自然科学基金青年基金项目（A类、B类，原国家杰青、优青）和企业联合基金重点项目、国家重点研发计划项目课题等多项国家、省部级以及与微软、科大讯飞、腾讯、百度等企业的合作研究项目。
获奖情况：
2024年获中国科学院优秀导师
2023年获CIKM'23 Best Paper Runner-Up
2022年获安徽省优秀青年科技人才
2022年获安徽省教坛新秀
2020年获吴文俊人工智能科技进步奖一等奖（个人排名第3）
2019年获中国科大新创校友基金会学术新星奖
2019年获阿里巴巴达摩院青橙奖
2018年获中科院青年创新促进会优秀会员
2018年获教育部高等学校科学研究优秀成果奖自然科学一等奖
2018年获中科大新创校友基金会“院长研究奖”
2018年获KDD 2018研究序列最佳学生论文奖
2017年入选中国科协“青年人才托举工程”
2017年获中科大“科学与社会”课程优秀论文导师奖
2016年获CCF-腾讯犀牛鸟科研基金优秀奖
2015年获Best of SDM 2015奖
2014年获中科院优秀博士学位论文奖
2013年获KSEM2013最佳论文奖
2013年获CCML2013优秀学生论文奖
2012年获博士生国家奖学金
2012年获中科院院长特别奖
2011年获ICDM2011最佳研究论文奖
主要论著：
[01]Yan Zhuang, Qi Liu, Zachary A. Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen, Position: AI Evaluation Should Learn from How We Test Humans, The Forty-second International Conference on Machine Learning (ICML'2025), Vancouver, Canada, July 13-19. Accepted.
[02]Yan Zhuang, Junhao Yu, Qi Liu, Yuxuan Sun, Jiatong Li, Zhenya Huang, Enhong Chen, Efficient Benchmarking via Bias-Bounded Subset Selection, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2025, accepted.
[03]Zaixi Zhang, Wanxiang Shen, Qi Liu, Marinka Zitnik, Efficient Generation of Protein Pockets with PocketGen, Nature Machine Intelligence, 2024, accepted.
[04]Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, EnHong Chen. Understanding and Improving Fairness in Cognitive Diagnosis. SCIENCE CHINA Information Sciences (SCIS), 2024.
[05]Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su. NeuralCD: A General Framework for Cognitive Diagnosis. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). 35(8): 8312-8327, August 2023.
[06]Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu. EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 33(1): 100-115, January 2021.
[07]Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma and Shijin Wang. Exploiting Cognitive Structure for Adaptive Learning. The 25nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019):627-635, Anchorage, Alaska, USA, 2019.
[08]Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu, Finding Similar Exercises in Online Education Systems, The 24nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018):1821-1830, Stockholm, 2018.7.13-2018.7.19.
[09]Qi Liu, Runze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu, Fuzzy Cognitive Diagnosis for Modelling Examinee Performance, ACM Transactions on Intelligent Systems and Technology, 2018.2, 9(4).
[10]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 Pop Music, The 24nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD'2018): 2837-2846, (Best Student Paper Award of Research Track), London, 2018.8.19-2018.8.23.
[11]Qi Liu, Hongke Zhao, Le Wu, Zhi Li, Enhong Chen, Illuminating Recommendation by Understanding the Explicit Item Relations, Journal of Computer Science and Technology, 2018.7, 33(4): 739-755.
[12]Qi Liu, Han Wu, Yuyang Ye, Dongfang Du, Chuanren Liu, Hongke Zhao, Patent Litigation Prediction: A Hybrid Modeling Approach, The 27th International Joint Conference on Artificial Intelligence(IJCAI'2018):5052-5059, Stockholm, 2018.7.13-2018.7.19.
[13]Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang, Product Adoption Rate Prediction in a Competitive Market, IEEE Transactions on Knowledge and Data Engineering, 2018.2.1, 30(2): 325-338.
[14]Qi Liu, Biao Xiang, Nicholas Jing Yuan, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang, An Influence Propagation View of PageRank, ACM Transactions on Knowledge Discovery from Data, 11(3): 30, 2017.
[15]Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen, Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence(IJCAI'2017):695-702, Melbourne, Australia, 2017.8.19-2017.8.25.
[16]Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen, Portfolio Selections in P2P Lending: A Multi-Objective Perspective, 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016), accepted, San Francisco, USA, August 13-17, 2016.
[17]Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, EnhongChen, Hui Xiong, Xing Xie, Mining Indecisiveness in Customer Behaviors, The15th IEEE International Conference on Data Mining (ICDM'2015): 281-290,Atlantic City, NJ, USA, November 14-17, 2015.
[18]Le Wu, Qi Liu, Enhong Chen, Xing Xie and Chang Tan, Product Adoption Rate Prediction: A Multi-factor View, In Proceedings of 2015 SIAM International Conference on Data Mining (SDM'2015):154-162, (Best of SDM 2015),Vancouver, British Columbia, Canada, April 30-May 2, 2015.
[19]Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu, A Cocktail Approach for Travel Package Recommendation, IEEE Transactions on Knowledge and Data Engineering, 2014, 26(2):278-293.
[20]Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong. Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective. The 14th IEEE International Conference on Data Mining (ICDM'2014):350-359, Shenzhen, China, December 14-17, 2014.