姓名

刘淇

工作单位

计算机学院、大数据学院

学位/职称

博士、特任教授

办公室电话

0551-63603823

Email

 qiliuql@ustc.edu.cn

教育背景

2013.06，中国科学技术大学，计算机应用技术，博士

研究方向

数据挖掘与知识发现、机器学习方法及其应用

任职经历

2019-11~至今 中国科学技术大学大数据学院、计算机学院特任教授、博士生导师

2016-01~2019-11 中国科学技术大学计算机学院副教授、硕士生导师

2013-06~2016-01 任中国科学技术大学计算机学院特任副研究员、硕士生导师

获得荣誉、奖项

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

主持、参与项目

 1.  数据分析与应用研究　国家自然科学基金委优秀青年科学基金项目 2020.01-2022.12 项目负责人；

 2．面向在线教育考试评估的数据挖掘技术研究与应用  国家自然科学基金委面上项目　2017.01-2020.12 项目负责人；

3．“大数据知识工程基础理论及其应用研究”课题“基于情景感知的知识导航”　科技部重点研发计划项目　2016.07-2020.12　课题负责人

论文、著作

1. 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).(Accepted)

2. 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.

3. 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.

4. 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).

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie, Mining Indecisiveness in Customer Behaviors, The 15th IEEE International Conference on Data Mining (ICDM'2015): 281-290, Atlantic City, NJ, USA, November 14-17, 2015.

13. 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.

14. Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, XiangWu, A Cocktail Approach for Travel Package Recommendation, IEEE Transactions on Knowledge and Data Engineering, 2014, 26(2):278-293.

15. 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.

16. Qi Liu, Biao Xiang, Enhong Chen, Hui Xiong, Fangshuang Tang, Jeffrey Xu Yu, Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach, The 23rd ACM International Conference on Information and Knowledge Management (CIKM'2014):171-180, Shanghai, China, November 3-7, 2014.

17. Qi Liu, Biao Xiang, Lei Zhang, Enhong Chen, Ji Chen. Linear Computation for Independent Social Influence. The 13th IEEE International Conference on Data Mining (ICDM'2013): 468-477, Dallas, Texas, USA, December 7-10, 2013.

18. Qi Liu, Enhong Chen, Hui Xiong, Chris H.Q. Ding, Jian Chen, Enhancing Collaborative Filtering by User Interests Expansion via Personalized Ranking, IEEE Transactions on Systems, Man, and Cybernetics - Part B, 2012, 42(1):218-233.

19. Qi Liu, Biao Xiang, Enhong Chen, Yong Ge, Hui Xiong, Tengfei Bao, Yi Zheng. Influential Seed Items Recommendation. The sixth ACM conference on Recommender systems ACM (RecSys'2012): 245-248, Dublin, Ireland, September 9-13, 2012.

20. Qi Liu, Yong Ge, Zhongmou li, Enhong Chen, Hui Xiong, Personalized Travel Package Recommendation. The 11th IEEE International Conference on Data Mining (ICDM'2011):407-416 (Best Research Paper), Vancouver, Canada, December 11-14, 2011.