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CS:Hua Yan

published: 2015-12-09 21:19:46       hits: 

name : Yan Hua Sex: Female phone: 13628036420
email: huayan@uestc.edu.cn office-address: Main Building B1-307, Qingshuihe Campus,No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan, P.R.China, 611731
PH.D  Supervisor: No Master Supervisor: Yes
major: Computer Science and Technology
research interst: Computing Intelligence, Big Data
Biography: I received my PhD degree in Computer Science from School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC) in 2008. I have been a faculty member of the school of computer science, UESTC since 1998. As main researchers of many national supported key projects, I have got several awards from National level to University level. I have one granted patent and five registered software copyrights. In addition, several research papers are published on top magazine and conference proceedings of Data Mining Area. Two textbooks are published. Thanks to China Scholarship Council, I have visited US twice. I was a visiting researcher in the College of Computing, Georgia Institute of Technology, supervised by Prof. Dr. Ling Liu from 2005 to 2008. I was a  visiting researcher in Ohio Center of Excellence in Knowledge Enabled Computing, Wright State University, supervised by Prof. Dr. Keke Chen from 2014 to 2015.
Education experience: 1988-1992, Southwest Jiaotong University, B.S., Computer Application
1995-1998, UESTC, M.S., Computer Software
2002-2008, UESTC, Ph.D., Computer Application
Selected Publications: [1] Hua Yan, Keke Chen, Ling Liu and Zhang Yi. SCALE: A Scalable Framework for Efficiently Clustering Transactional Data. Data Mining and Knowledge Discovery (DMKD), 2010(20):1-27.
[2] Han Liang, Hua Yan. An efficient tagging SNP selection method using normalized mutual information and joint entropy. Proceedings of 2nd International Workshop on Intelligent Systems and Applications,2010: 824-828.
[3] Hua Yan, Keke Chen, Ling Liu and Joonsoo Bae. Determining the Best K for Clustering Transactional Datasets: A Coverage Density-based Approach. Data & Knowledge Engineering, 68(2009), 28-48.
[4] Hua Yan and Yongsheng Sang. Approximate Frequent Itemsets Compression using Dynamic Clustering Method. Proceedings of IEEE International Conferences on Cybernetics & Intelligent Systems, 2008, 1061-1066.
[5] Hua Yan, Wenjing Luo and Zhang Yi. A GHSOM-based Method for Clustering Transactional Data. Dynamics of Continuous, Discrete and Impulsive Systems, Series A: Mathematical Analysis, 2007, 14(S1):386-390.
[6] Hua Yan, Keke Chen and Ling Liu. Efficiently Clustering Transactional Data with Weighted Coverage Density. Proceedings of ACM Conference on Information and Knowledge Management, 2006, 367-376.
[7] Hua Yan, Lei Zhang and Zhang Yi. Clustering Categorical Data Using Coverage Density. Lecture Notes in Computer Science, 2005, Vol.3584:248-255
[8] Hua Yan, Hao Chen and Xuanyou Guo. A Method for Automotive Electronics Oriented Dynamic Configuration Interface Generation. Computer Science, 2013, 40(8):172-175. Language: Chinese.
Books: [1] Yujie Hao, Guisong Liu, Ke Qin and Hua Yan. Introduction to Information Security. Publishing House of UESTC, 2007. Language: Chinese
[2] Naiqi Liu, Hua Yan. Learn Encryption Techniques with BASIC and C++. Publishing House of UESTC, 2000. Language: Chinese