Description: Description: Description: Description: liuxy

 

Description: Description: Description: Description: 刘胥影

Xu-Ying Liu (X.-Y. Liu)

Assistant Professor, Ph.D

School of Computer Science and Engineering
Southeast University, China

Description: Description: Description: Description: C:\Users\Liuxy\工作\主页\SEU\index.files\seu_small.jpg

Description: Description: Description: Description: C.V.

Correspondence


Mail:

Xu-Ying Liu
School of Computer Science and Engineering
Southeast University
2 Southeast University Road
Jiangning District, Nanjing, China 211189

Tel:

Fax:

Office:

URL:

Email:

+86-25-52090883

+86-25-52090883

Room 512, CSE Buliding, JiuLongHu Campus

http://cse.seu.edu.cn/people/xyliu/index.htm

(liuxy at seu dot edu dot cn) or (liuxy.seu at gmail.com)

[Biography][Activity][Publication][Teaching][Students][Awards]

Brief Biography


I am an Assistant Professor at School of Computer Science and Engineering of Southeast University, China since 2010. I received my B.Sc degree at Nanjing University of Aeronautics and Astronautics, China, M.Sc and Ph.D degree at Nanjing University, China in 2006 and 2010 respectively, both supervised by Prof. Zhi-Hua Zhou.

My research interests are machine learning and data mining, especially cost-sensitive learning and class imbalance learning. I have published 14 papers, including famous international journals IEEE TKDE, IEEE TSMCB, Computational Intelligence, and the first class international conferences  AAAI'06, IEEE ICDM'06, SIGKDD'10, etc. The related work have been cited more than 170 times (excluding self-citation), 42 out of which are from SCI articles. I won PAKDD'06 Data Mining Competition Campion as a member of LAMDAer Team. I've been granted CCF Excellent Doctoral Dissertation Award (2010) and Microsoft Fellowship Award, etc.

 

Professional Activity


Journal Reviewer

IEEE Transactions on Knowledge and Data Engineering

 

Data Mining and Knowledge Discovery

 

Pattern Recognition

 

Intelligent Data Analysis

 

Journal of Computer Science and Technology

 

IJCAI'11 (The 22nd International Joint Conference on Artificial Intelligence)

PC Member

ECDM'11 (IADIS European Conference on Data Mining 2011)

 

ICEC’09 Workshop (PAKDD'2009 Workshop on Data Mining When Classes are Imbalanced and Errors Have Costs)

 

Non-PC Reviewer

PAKDD'11 (The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining)

 

ACML'10 (The 2nd Asian Conference on Machine Learning)

 

Selected Publication


·         X.-Y. Liu and Z.-H. Zhou. Learning with cost intervals. In: Proceedings of the 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'10), Washington, DC, 2010, pp.403-412. [code]

·         Z.-H. Zhou and X.-Y. Liu. On multi-class cost-sensitive learning. Computational Intelligence>, 2010, 26(3): 232-257. [code]

·         X.-Y. Liu, J. Wu, and Z.-H. Zhou. Exploratory undersampling for class-imbalance learning. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2009, 39(2): 539-550. [code]

·         Y. Yu, D.-C. Zhan, X.-Y. Liu, M. Li, and Z.-H. Zhou. Predicting future customers via ensembling gradually expanded trees. International Journal of Data Warehousing and Mining, 2007, 3(2): 12-21. Invited paper for the PAKDD'06 Data Mining Competition (Open Category) Grand Champion Team.

·         X.-Y. Liu and Z.-H. Zhou. The influence of class imbalance on cost-sensitive learning: An empirical study. In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), Hong Kong, China, 2006, pp.970-974.

·         X.-Y. Liu, J. Wu, and Z.-H. Zhou. Exploratory under-sampling for class-imbalance learning. In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), Hong Kong, China, 2006, pp.965-969. [code]

·         Z.-H. Zhou and X.-Y. Liu. On multi-class cost-sensitive learning. In: Proceedings of the 21st National Conference on Artificial Intelligence (AAAI'06), Boston, MA, 2006, pp.567-572. [code]

·         Z.-H. Zhou and X.-Y. Liu. Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Transactions on Knowledge and Data Engineering, 2006, 18(1): 63-77. [code]

 

Teaching


·         C++ Programming Language (2011 Spring)

·         C++ Programming Language (2012 Spring)

·         C++ Programming Language (2013 Spring)

·         Artificial Intelligence (2014 Autumn)

 

 Students


Current Masters Students

·         2013: Jiang-Tao Liu, Lei Cao

·         2014: Sheng-Tao Wang, Bin-Bin Zhou

Past Masters Students

·         2011: Qian-Qian Li

 

Awards in Recent Years


·         CCF Excellent Doctoral Dissertation Award (by China Computer Federation, 2010)

·         Best Paper Award of CAAI'12 (2007)

·         Microsoft Fellowship Award (2007)

·         Huaying Outstanding Youth (by Nanjing University, 2007)

·         China Outstanding Student Award (by IBM, in 2006 and 2007, respectively)

·         Grand Champion (open Category) of PAKDD'06 Data Mining Competition (2006)


Last update: 2014-12-5