YE Yunming
Address:
Rm.717, G# Building, HIT Campus at Xili University Town, Shenzhen 518055, P.R.China (518055)
Email:
yym@hit(不用加SZ).edu.cn
Phone:
0755-26033008
0755-26033008(Fax)
PERSONAL PROFILE
 
Yunming Ye is a Professor in the Department of Computer Science at Shenzhen Graduate School, Harbin Institute of Technology (HIT). He is also the director of Shenzhen Key Laboratory of Internet Information Collaboration, and the director of Intelligent Enterprise Computing Research Lab in HIT Shenzhen. He obtained his Ph.D. degree from Shanghai Jiao Tong University in 2004. His research areas are Data Mining, Intelligent Web Search and Business Intelligence. Before joining in HIT, he has been a key researcher participating in two ITF projects in ETI at the University of Hong Kong. He has published over 60 refereed papers in international journals or conferences, including TKDE, TNN, PR, SIGKDD etc. He has already obtained two granted projects from National High-tech Program (863 program), three granted projects from National Science Funding (NSFC) , six granted project from Shenzhen government and six industry collaboration projects, as the principal investigator. Prof. Ye has obtained an IBM UIMA Innovation Award in 2006.
RESEARCH INTEREST
 
Web Search, Data Mining
EDUCATION  
2001.3-2004.7
Phd in computer science, Shanghai Jiaotong University, China
1998.9-2001.2
M.E.Sc. in computer science, Fuzhou University, China
RESEARCH & WORK EXPERIENCE  
2010.8-
Professor, School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School
2006.8-2010.7
Associate Professor, School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School
2004.8-2006.7
Post doc, School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School
2003.08-2004.07
Research associate, The University of Hong Kong
2002.07-2002.10
Visiting Scholar( IBM Sponsored Program), The University of Hong Kong
PROFESSIONAL QUALIFICATION & ACADEMIC SERVICE
 
2010-
Senior Member, China Computer Federation (CCF)
RESEARCH PROJECTS
2013-2016
NSFC Project: On Multi-label Classification for Multi-relational Graph
2010-2013
NSFC Project: On Dynamic Identification of Topical entities from Social Media
RESEARCH ACHIEVEMENT & AWARDS
2008
Natural Science Award of Hei Long Jiang Province Technology, 2nd Class
2006
IBM UIMA Innovation Award
PATENT
   
An Incremental Q-Learning Method and System, Number:ZL 200810066627.1, Inventor: Yunming Ye, Date of Authorizing: Nov. 2012
PAPER & BOOK PUBLICATIONS
Selected Publications

1.Qingyao Wu, Yunming Ye, Haijun Zhang, Tommy Ho Chow, Shyang Shen. ML-TREE: A Tree-Structure Based Approach to Multi-Label Learning, IEEE Transactions on Neural Networks and Learning Systems, Vol.26(3): 430-443, 2015.

2.Xiaohui Huang, Yunming Ye and Haijun Zhang. Extensions of Kmeans-type Algorithms: A New Clustering Framework by Integrating Intra-cluster Compactness and Inter-cluster Separation. IEEE Transactions on Neural Networks and Learning Systems, Vol.25(8): 1433-1446, 2014.

3.Xutao li, Michael Ng, Yunming Ye*. MultiComm: Finding Community Structure in Multi-Dimensional Networks. IEEE Transactions on Knowledge and Data Engineering, Vol.26(4): 929-941, 2014.

4.Xiaojun Chen, Xiaofei Xu, Joshua Huang, Yunming Ye. TW-k-means: Automated Two-level Variable Weighting Clustering Algorithm for Multi-View Data. IEEE Transactions on Knowledge and Data Engineering, Vol.25(4): 932-944, 2013.

5.Haijun Zhang, John K. L. Ho, Q. M. Jonathan Wu, Yunming Ye. Multidimensional Latent Semantic Analysis Using Term Spatial Information. IEEE Transactions on Cybernetics, Vol. 43(6):1625-1640, December 2013.

6.Yunming Ye, Qingyao Wu, Joshua Zhexue Huang, Michael K. Ng, Xutao Li. Stratified sampling for feature subspace selection in random forests for high dimensional data. Pattern Recognition, Vol.46(3): 769-787, 2013.

7.Raymond Y. K. Lau, Yunqing Xia, Yunming Ye. A Probabilistic Generative Model for Mining Cybercriminal Networks from Online Social Media. IEEE Computational Intelligence Magazine, Volume 9(1): pp.31-43, February 2014.

8.Qingyao Wu, Michael K. Ng, Yunming Ye. Co-Transfer Learning Using Coupled Markov Chains with Restart. IEEE Intelligent Systems, 2013, in press, DOI: http://doi.ieeecomputersociety.org/10.1109/MIS.2013.32.

9.Xutao Li, Yunming Ye, Mark Junjie Li, Michael K. Ng: On cluster tree for nested and multi-density data clustering. Pattern Recognition 43(9): 3130-3143, 2010.

10.Xiaojun Chen, Yunming Ye*, Xiaofei Xu and Joshua Zhexue Huang. A Feature GroupWeighting Method for Subspace Clustering of High-Dimensional Data. Pattern Recognition,vol. 45(1): pp. 434-446, Jan. 2012.

11.Qingyao Wu, Michael K. Ng, Yunming Ye, Xutao Li, Ruichao Shi, and Yan Li. Multi-label collective classification via Markov chain based learning method. Knowledge-Based Systems, Vol.63: pp.1–14, 2014.

12.Xutao Li, Yunming Ye, Michael Ng, Qingyao Wu. MultiFacTV: module detection from higher-order time series biological data. BMC Genomics, Vol.14(s-4): s2, 2013.

13.Qingyao Wu, Michael K. Ng, Yunming Ye*. Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm. Knowledge and Information Systems, 37(1): 83-104, 2013.

14.Qingyao Wu, Yunming Ye*, Michael K. Ng, Shen-Shyang Ho, Ruichao Shi. Collective prediction of protein functions from protein-protein interaction networks. BMC Bioinformatics, Vol.15(S-2): S9, 2014.

15.Yunming Ye, Qingyao Wu, Yan Li, K. P. Chow, Lucas Chi Kwong Hui, Siu-Ming Yiu. Unknown Chinese word extraction based on variety of overlapping strings. Infomation Processing & Management, Vol.49(2): 497-512, 2013.

16.Qingyao Wu, YunmingYe*, Yang Liu, Michael K. Ng. SNP Selection and Classification of Genome-wide SNP Data Using Stratified Sampling Random Forests. IEEE transaction on Nanobioscience, Vol. 11(3): pp.216-227, 2012.

17.Yan Li, Yunming Ye*, Zhaocai Sun, Edward Hung, Joshua Zhexue Huang, Yueping Li: An ensemble of decision cluster crotches for classification of high dimensional data. Knowledge Based Systems. 43: 63-73, 2013.

18.Xiaohui Huang, Xiaofeng Zhang, Yunming Ye, Shengchun Deng, Xutao Li. A Topic Detection Approach Through Hierarchical Clustering on Concept Graph. Applied Mathematics & Information Sciences, vol. 7(6), pp. 2285-2295, 2013.

19.Yanfeng Zhang, Xiaofei Xu, Yingqun Liu, Xutao Li, Yunming Ye. A Novel Decision Cluster Classifier with Nested Agglomerative K-Means. Journal of Internet Technology, vol. 14(1), pp. 145-151, 2013.

20.Yunming Ye, Yueping Li. A new algorithm to determine minimally k-edgeconnected graphs with odd k. Applied Mathematics & Information Sciences, Vol.7(3):pp.983-989, 2013.

21.Qiang Wang, Yunming Ye, Joshua Zhexue Huang, Shengzhong Feng: Post-processing strategies for improving local gene expression pattern analysis. International Journal of Data Mining and Bioinformatics, Vol.7(1): 1-21, 2013.

22.Xutao Li, Wen Li, Michael K. Ng, Yunming Ye*. On Multivariate Markov Chains for Common and Non-Common Objects in Multiple Networks. Numerical Mathematics-Theory Methods and Applications, Vol.5(3): pp.384-402, 2012.

23.Yumming Ye, Chunshan Li and Xiaofeng Zhang. A Novel Graph Partition based Page Segmentation Algorithm. Information Journal, Vol.15, No.5, pp.2091-2098, 2012.

24.Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Qiang Wang, Yunming Ye: Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces. International Journal of Data Warehousing and Mining, Vol.8(1): pp.44-63, 2012.

25.Chunshan Li, Yunming Ye*, Xiaofeng Zhang. TPS: an Unsupervised Web Page Segmentation Algorithm Based on Dom Tree Structure Mining. Information-An International Interdisciplinary Journal, vol. 15(1), pp. 387-394, 2012.

26.Yuanyuan Wang, Yunming Ye*, Xutao Li, Michael K. Ng and Joshua Huang. Hierarchical Information-Theoretic Co-Clustering for High Dimensional Data. International Journal of Innovative Computing, Information and Control, Volume 7, Number 1, January 2011 pp. 487–500.

27.Yunming Ye, Xutao Li, Biao Wu and Yan Li. A Comparative Study of Feature Weighting Methods for Document Co-clustering. International. Journal of Information Technology, Communications and Convergence, Vol. 1, No.2: pp. 206 – 220, 2011.

28.Yunming Ye, Hongbo Li, Xiaobai Deng and Joshua Zhexue Huang. Feature Weighting Random Forest for Detection of Hidden Web Search Interfaces. International Journal of Computational Linguistics and Chinese Language Processing, Vol.13, No.4: pp.387-404, 2008.

29.Qingyao Wu, Zhenyu Wang, Chunshan Li, Yunming Ye, Yueping Li, Ning Sun. Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization. BMC Systems Biology 9(S-1): S9 (2015)

30.Yixiang Fang, Haijun Zhang, Yunming Ye, Xutao Li. Detecting hot topics from Twitter: A multiview approach. Journal of Information Science, Vol.40(5): 578-593, 2014.
CONFERENCE PAPERS/TALKS
 
1. MultiRank: co-ranking for objects and relations in multi-relational data. KDD 2011
2. HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query Search. SDM 2012
3.Ruichao Shi, Qingyao Wu, Yunming Ye, Shen-Shyang Ho. A Generative Model with Network Regularization for Semi-Supervised Collective Classification. SDM 2014: 64-72.
TEACHING/SUPERVISING EXPERIENCE
School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School
Qingyao Wu, 2007-2013, B.S. Degree from the University of South China , PhD student, is working on ensemble classification methods for high dimensional data
Updated:2018-04