教师名录
叶允明
通讯地址:深圳西丽深圳大学城哈工大校区
电子邮件:yym@hitsz.edu.cn
联系电话:86-755-26033008

个人简介

哈尔滨工业大学深圳研究生院教授,博士生导师,深圳市互联网信息协同技术与应用重点实验室主任。他于2004年6月毕业于上海交通大学计算机科学与工程系,获工学博士学位。2002年他得到 IBM 公司的“内地访问学者赴港计划”资助,赴香港大学电子商业科技研究所进行访问研究,作为技术骨干参与了两项香港特区政府创新科技基金项目的研发工作。近年来,作为负责人主持了十余项国家 863 计划、国家自然科学基金、国际合作等科技项目的研发工作,在包括IEEE Transactions on Knowledge and Data Engineering、IEEE Transactions on Neural Networks and Learning Systems、Pattern Recognition、SIGKDD等重要国际期刊或学术会议上发表论文 60 余篇,其中三十余篇被SCI检索。2006年5月,叶允明博士获得了美国IBM公司的UIMA创新基金奖(全球共20人获此奖项)。2008年他获得了黑龙江省高校科学技术奖(一等奖)、黑龙江省自然科学奖(二等奖)。

研究方向

互联网搜索技术,数据挖掘,海量数据管理
招收1-2名博士生(已毕业的6名博士生都获得985、211或省重点高校的教师职位)
招收硕士生5名左右(继续攻读博士学位者优先录取)

教育经历

2001.3-2004.7  获工学博士学位 (计算机科学与技术), 上海交通大学
1998.9-2001.2   获工学硕士学位 (计算机应用技术), 福州大学

研究与工作经历

2010.8-至今  教授、博导,哈工大深圳研究生院计算机科学与技术学院
2008.5-2010.7  副教授、博导,哈工大深圳研究生院计算机科学与技术学院
2006.8-2008.4  副教授,硕士生导师,哈工大深圳研究生院计算机科学与技术学院
2004.8-2006.7  博士后,哈工大深圳研究生院计算机科学与技术学院
2003.08-2004.07   助理研究员,香港大学

2002.07-2002.10   访问学者,香港大学

专业资质与学术兼职

2010-  高级会员,中国计算机学会
2008-  IEEE会员
2012-  深圳市互联网信息协同技术及应用重点实验室主任

科研项目

2013-2016  国家自然科学基金面上项目:多关系图的多类标分类关键技术研究
2010-2013  国家自然科学基金面上项目:特定主题社会化媒体内容的动态识别关键技术研究
2012-2014  深圳市重点实验室组建项目:深圳市互联网信息协同技术及应用重点实验室

科研成果及奖励

2008  获黑龙江省高校科学技术奖(一等奖)
2008  获黑龙江省自然科学奖(二等奖)
2006  获美国IBM公司的UIMA创新基金奖(全球共20人获此奖项)

发明专利

基于增量Q-Learning的学习方法及系统,专利号:ZL 200810066627.1,发明人:叶允明,授权日期:2012.11.21

论文及著作

近期代表性学术论文:
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. (IF=3.766, JCR一区)

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.(IF=3.766,JCR一区)

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. (IF=1.892,JCR一区)

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. (IF=1.892,JCR一区)

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. (IF=3.236,JCR一区)

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. (IF=2.632,JCR一区)

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.(IF=4.629,JCR一区)

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. (IF=1.930,JCR一区)

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. (IF=2.682,JCR一区)

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. (IF=2.632,JCR一区)

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.(IF=4.104,JCR一区)

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. (IF=4.397,JCR一区)

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. (IF=2.225,JCR一区)

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.(IF=3.024,JCR一区)

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. (IF=0.817,JCR三区)

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. (IF=1.286,JCR三区)

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. (IF=4.104,JCR一区)

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. (IF=0.731,JCR三区)

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. (IF=0.481,JCR四区)

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. (IF=0.731,JCR三区)

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. (IF=0.393)

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. (IF=0.772,JCR二区)

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. (IF=0.358)

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. (IF=1.355,JCR二区)

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.(IF=0.358)

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.

会议论文及发表演说

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.

任教和任导师经历

哈工大深圳研究生院计算机科学与技术学院  已培养的博士生情况:
攻读学位时间 姓名 现工作单位 现工作职位
2009.9-2013.8 吴庆耀 华南理工大学 副教授
2009.9-2013.8 李旭涛 哈工大(深圳) 副教授
2010.3-2014.5 李春山 哈工大(威海) 讲师
2010.9-2015.3 杜晓林 北京工业大学 讲师
2011.3-2014.11 黄晓辉 华东交通大学 讲师
2011.3-2014.11 宋歌 华南农业大学 讲师

最后更新:2016-02-27 17:18:52