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刘 淇


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刘 淇

 

电  话:0551-63603823

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、机器学习方法及其应用

刘淇,男,1986年出生,博士,副教授。2013年获得中国科学技术大学计算机应用技术专业博士学位。主要研究方向为数据挖掘与知识发现、机器学习方法及其应用,着重于针对用户行为数据(如消费数据、社交数据、教育数据)的建模和应用研究。在重要国际学术会议和期刊共发表论文50余篇,2011年获得数据挖掘领域顶级国际会议之一IEEE ICDM的最佳研究论文奖,还先后获中科院院长特别奖和中科院优秀博士学位论文奖,以及SDM 2015 最佳论文候选奖等重要学术奖励。目前主持国家自然科学基金项目、省部级科研项目以及和微软、科大讯飞、腾讯等企业的合作研究项目,入选了中科院青年创新促进会、CCF-Intel青年学者提升计划。多次参与国际会议组织工作,担任了CCF大数据学术会议BigData2015、BigData2016的宣传主席、ICDM 2015 MobileDM&HuMoComp workshop共同主席,是包括ICJAI2015、KDD2016等20余个国际会议的程序委员会委员以及国际期刊IEEE TKDE、TKDD、TC、TSMC-C、DMKD等的审稿人。

  

获 奖 情 况

   

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]  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.
[02] Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie, Relevance meets Coverage: A Unified Framework to Generate Diversified Recommendations, ACM Transactions on Intelligent Systems and Technology, Accepted.
[03] Yi Zheng, Qi Liu, Enhong Chen, Yong Ge and Leon Zhao. Exploiting Multi-Channels Deep Convolutional Neural Networks for Multivariate Time Series. Frontiers of Computer Science, 2016, 10(1):96--112.
[04] 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.
[05] Chang Tan, Qi Liu, Enhong Chen, Hui Xiong, Xiang Wu, Object-oriented Travel Package Recommendation, ACM Transactions on Intelligent Systems and Technology, 2014, 5(3):43.
[06] Qi Liu, Haiping Ma, Enhong Chen, Hui Xiong, A Survey of Context-Aware Mobile Recommendations. International Journal of Information Technology and Decision Making, 2013, 12(1): 139-172.
[07] 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.
[08] YuPing Liu, Qi Liu, Runze Wu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu, Collaborative Learning Team Formation: A Cognitive Modeling Perspective, In Proceedings of the 21st International Conference on Database Systems for Advanced Applications (DASFAA'2016), 2016, Accepted.
[09] Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu, Cognitive Modelling for Predicting Examinee Performance, The 24th International Joint Conference on Artificial Intelligence (IJCAI'2015): 1017-1024, Buenos Aires, Argentina, July 25-31, 2015.
[10] Guangxiang Zeng, Hengshu Zhu, Qi Liu,Ping Luo, Enhong Chen, Tong Zhang, Matrix Factorization with Scale-Invariant Parameters, The 24th International Joint Conference on Artificial Intelligence (IJCAI'2015): 4017-4024, Buenos Aires, Argentina, July 25-31, 2015.
[11] 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.
[12] 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.
[13] Guowei Ma, Qi Liu, Le Wu, Enhong Chen, Liang He, Guangyi Lv. Identifying Hesitant and Interested Customers for Targeted Social Marketing. PAKDD 2015, pages:576-590, 2015.
[14] 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.
[15] 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.
[16] 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.
[17] Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, PageRank with Priors: An Influence Propagation Perspective. The 23rd International Joint Conference on Artificial Intelligence (IJCAI'2013): 2740-2746, Beijing, China, August 3-9, 2013.
[18] Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao, Guoping Hu, Personalized Next-song Recommendation in Online Karaokes. The ACM Conference Series on Recommender Systems (RecSys'2013):137-140, Hong Kong, China, October 12-16, 2013.
[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, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He, Gaussian Process for Recommender Systems. The 2011 International Conference on Knowledge Science, Engineering and Management (KSEM'2011): 56-67, Irvine, California, USA, December 12-14, 2011.
[21] Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen. Cost-aware Travel TourRecommendation. The 17th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD'2011): 983-991, San Diego, CA, USA, August 21-24, 2011.
[22] 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.
[23] Qi Liu, Enhong Chen, Hui Xiong, Chris H.Q. Ding. Exploiting User Interests for Collaborative Filtering: Interests Expansion via Personalized Ranking. ACM CIKM 2010, pages: 1697–1700.

 

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