叶正，博士，教授，硕士生导师，软件理论教研室。主要研究兴趣包括：多语言自然语言处理和深度学习，及其在对话系统、机器阅读理解、信息检索等方面的应用。2003年于武汉理工大学信息与技术科学获得学士学位，2011年获得大连理工大学计算机软件与理论博士学位（2008-2011年间CSC公派联合培养博士）；2011-2012年，杭州电子科技大学计算机学院讲师；2012-2014年期间加拿大约克大学博士后从事科研工作；2014-2016年期间，任微软Maluuba（Montreal）深度学习科学家；2016-2019年期间任武汉泰迪智慧科技有限公司首席科学家&研发总监。在国内外重要学术期刊和会议发表论文30+篇，其中包括本领域主要会议ACL、SIGIR、EMNLP、CIKM和学术期刊ACM Transaction TOIS, IPM，JASIST，Expert System with Applications等。


基金：
1.Document Quality Estimation for Relevance Feedback In Adhoc Information Retrieval, SOCIAL SCIENCES AND HUMANITIES RESEARCH COUNCIL (SSHRC) SMALL GRANTS, York Unversity, Canada, 2012.05-2013.04, (主持)
2. 基于机器学习的相关反馈算法中若干关键问题研究. 国家青年科学基金(主持)
3. 网络挖掘与机器学习在相关反馈中应用研究. 浙江省科学基金. (主持)


学术活动:
1. 程序委员会委员
SIGIR14,15,16 PC Member
PC member of Web Intelligence (WI’10, WI’11, WI’12)
PC member of CIKM 2011, CIKM 2010 and 2011 POSTER Reviewer
2. 国际杂志审稿人
IEEE TRANSACTIONS on Systems, Man and Cybernetics - Part B
Reviewer of Knowledge and Information Systems: An International Journal
Reviewer of Neurocomputing Journal Elsevier
Reviewer of JASIST Elsevier
Knowledge and Information Systems: An International Journal




Selected Publications
杂志论文：
1.Zheng Ye, Jimmy Xiangji Huang. A Learning to Rank Approach for Quality-Aware Pseudo Relevance Feedback. JASIST, 2015
2.Jiashu Zhao, Jimmy Xiangji Huang, Zheng Ye. Modeling Term Associations for Probabilistic Information Retrieval. ACM Trans. Inf. Syst. (TOIS). 32(2): 7 (2014)
3.Zheng Ye, Ben He, Lifeng Wang, Tiejian Luo. Utilizing term proximity for blog post . Journal of the American Society for Information Science and Technology JASIST). 2013. JASIST 64(11): 2278-2298 (2013)
4.Zheng Ye, Jimmy Xiangji Huang, Hongfei Lin. Mining Multilingual AssociationDictionary from Wikipedia for Cross-language Information Retrieval. Journal of theAmerican Society for Information Science and Technology (JASIST). 2012.
5.Zheng Ye, Xiangji Huang and Hongfei Lin.Incorporating Rich Features to Boost Information Retrieval Performance: A SVM-regression Based Re-ranking Approach, Expert Systems with Applications: An International Journal. ELSEVIER Publisher. ISSN: 0957-4174. Volume 38, Issue 6, June 2011, Pages 7569-7574
6.Zheng Ye, Xiangji Huang and Hongfei Lin. Finding a Good Query-Related Topic for Boosting Pseudo Relevance Feedback (24 pages), accepted by Journal of the American Society for Information Science and Technology (JASIST). Wiley InterScience Publisher, January 2011. ISSN (Printed): 1532-2882 and ISSN (Online): 1532-2890.
7.Zheng Ye, Hongfei Lin, Sui Su. Query expansion based on local co-occurrence analysis, Journal of Computational Information Systems, v4, n3, June, 2008, p1041-1046
会议论文:
1.Adam Trischler, Zheng Ye, et al. A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data,ACL 2016
2.Adam Trischler, Zheng Ye, et al.Natural Language Comprehension with the EpiReader. EMNLP 2016. https://arxiv.org/abs/1606.02270
3.Zheng Ye, Jimmy Xiangji Huang: A simple term frequency transformation model for effective pseudo relevance feedback. SIGIR 2014: 323-332
4.Jun Miao, Zheng Ye and Xiangji Huang. A Proximity-based Rocchio's Model for Pseudo Relevance Feedback. In: SIGIR 2012, top-tier conference:
5.Zheng Ye, Xiangji Huang and Jun Miao. A Hybrid Model for Adhoc Information Retrieval. In: SIGIR 2012 :
6.Zheng Ye, Xiangji Huang, Qinmin Hu and Hongfei. An Integrated Approach for Medical Image Retrieval Through Combining Textual and Visual Features. Multilingual Information Access Evaluation Vol. II Multimedia Experiments. Lecture Notes in Computer Science, 2010.
7.Zheng Ye, Xiangji Huang, and Hongfei Lin. Exploring Social Annotation Tags to Enhance Information Retrieval Performance. Active Media Technology (AMT 2010).
8.Zheng Ye, Ben He, xiangji Huang and Hongfei Lin. Revisiting Rocchio's Relevance Feedback Algorithm For Probabilistic Models. The Sixth Asia Information Retrieval Society Conference (AIRS 2010)
9.Zheng Ye, Xiangji Huang, and Hongfei Lin. A Bayesian Network Approach to Context Sensitive Query Expansion. 26th Symposium On Applied Computing (ACM SAC 2011)
10.Zheng Ye, Xiangji Huang and Hongfei Lin. A Graph-based Approach to Mining Multilingual Word Associations from Wikipedia, SIGIR09
11.Yuan Lin, Hongfei Lin, Zheng Ye, Song Jin and Xiaoling Sun. Learning to Rank with Groups. CIKM'10, Toronto, Canada, Oct. 26-30, 2010.
12.Qinmin Hu, Zheng Ye, and Jimmy Huang. Enhancing Content-Based Image Retrieval Using Machine Learning Techniques. Active Media Technology (AMT 2010).
13.Song Jin, Hongfei Lin, Yuan Lin and Zheng Ye. Social Annotation in Query Expansion a Machine Learning Approach. ACM SIGIR 2011 proceedings.
14.Jiajing Wu, Hongfei Lin, Yuan Lin and Zheng Ye. Learning to Rank Using Query-Level Regression. ACM SIGIR 2011 proceedings.




课题组招收自然语言处理等相关方向的硕士研究生，如果你对创新和科研有着浓厚兴趣，且有较强科研动手能力，欢迎加入本课题组。课题组将设置若干带津贴助研岗位，提供优良的实验和学习环境，资助学生做有创意的研究和发表高质量论文。


电子邮件地址：yezheng-at-scuec.edu.cn