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)

4. 大模型增强地学大数据分析关键技术研究. 中央科研业务费（自科）(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

INFORMATION PROCESSING & MANAGEMENT (IPM)

Selected Publications

杂志论文：

1. Zhou Liu, Zheng Ye, Jing Liu, Ben He , Cathal Gurrin. (2024) MSDM: Multi-Space Diffusion With Dynamic Loss Weight. APPLIED INTELLIGENCE, (SCI, 中科院2区, IF=3.4，已接收)

2. Zheng Ye^*, Linwei Che, Jun Qin, Jing Liu. (2024) Integration of multi-level semantics in PTMs with an attention model for question matching. PLOS ONE 19(8): e0305772. https://doi.org/10.1371/journal.pone.0305772, (SCI, 中科院3区 IF=3.7)

3. 颜政锦，叶正^*，葛君. 多模态预训练模型在金融票据信息抽取中的应用. 计算机工程与应用，2025, 05, （北大核心）

4. 叶正; 傅灵; 覃俊; 刘晶. 基于利用BERT不同层信息的微调策略的对话状态追踪. 金沙威尼斯欢乐娱人城学报（自然科学版） 2023, Vol.42 No.3, 327-333 （北大核心）

5. 胡志博，叶正^*. 基于多任务学习的金融时间序列预测研究[J], 金沙威尼斯欢乐娱人城学报(自然科学版) [北大核心]

6. Zheng Ye, Jimmy Xiangji Huang. A Learning to Rank Approach for Quality-Aware Pseudo Relevance Feedback. JASIST, 2015 (SCI, 中科院2区, IF=2.03)

7. Jiashu Zhao, Jimmy Xiangji Huang, Zheng Ye. Modeling Term Associations for Probabilistic Information Retrieval. ACM Trans. Inf. Syst. (TOIS). 32(2): 7 (2014) （A类期刊）

8. 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) (SCI, IF=2.03)

9. Zheng Ye, Jimmy Xiangji Huang, Hongfei Lin. Mining Multilingual Association Dictionary from Wikipedia for Cross-language Information Retrieval. Journal of the American Society for Information Science and Technology (JASIST). 2012. (SCI, 中科院分区2, IF=2.03)

10. 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 (SCI IF = 1.93，中科院分区1 Top)

11. 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. (SCI IF = 2.03，中科院分区2)

12. 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 (EI)

会议论文:

1. Zhou Liu, Zheng Ye*, Jing Liu and Jun Qin^*. Dy-Sigma: A Generalized Accelerated Convergence Strategy for Diffusion Models. IJCNN (CCF C类会议)

2. Xuanang Chen; Ben He*; Zheng Ye*; Le Sun; Yingfei Sun ; Towards Imperceptible Document Manipulations against Neural Ranking Models., ACL 2023, Toronto, Canada, 2023-07-09至2023-07-14 (会议论文 CCF A) ( 本人标注: 共同通讯作者 )

3. Xiaoyang Chen; Kai Hui; Ben He^*; Xianpei Han; Le Sun; Zheng Ye^* ; Incorporating ranking context for end-to-end BERT re-ranking, 44th European Conference on IR Research (ECIR), Stavanger, Norway, 2022-04-10至2022-04-14 (会议论文 CCF C) ( 本人标注: 共同通讯作者 )

4. Zheng Ye^*, Jun Ge: An Entire Space Multi-gate Mixture-of-Experts Model for Recommender Systems. WI/IAT 2022: 277-281 （EI）

5. Adam Trischler, Zheng Ye, et al. A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data,ACL 2016 (CCF A, equal contribution)

6. Adam Trischler, Zheng Ye, et al.Natural Language Comprehension with the EpiReader. EMNLP 2016. https://arxiv.org/abs/1606.02270 (CCF B, equal contribution)

7. Zheng Ye, Jimmy Xiangji Huang: A simple term frequency transformation model for effective pseudo relevance feedback. SIGIR 2014: 323-332 (CCF A, short)

8. Jun Miao, Zheng Ye and Xiangji Huang. A Proximity-based Rocchio's Model for Pseudo Relevance Feedback. In: SIGIR 2012, (CCF A, short)

9. Zheng Ye, Xiangji Huang and Jun Miao. A Hybrid Model for Adhoc Information Retrieval. In: SIGIR 2012 :(CCF A, short)

10. 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.

11. Zheng Ye, Xiangji Huang, and Hongfei Lin. Exploring Social Annotation Tags to Enhance Information Retrieval Performance. Active Media Technology (AMT 2010).

12. 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)

13. Zheng Ye, Xiangji Huang, and Hongfei Lin. A Bayesian Network Approach to Context Sensitive Query Expansion. 26th Symposium On Applied Computing (ACM SAC 2011)

14. Zheng Ye, Xiangji Huang and Hongfei Lin. A Graph-based Approach to Mining Multilingual Word Associations from Wikipedia, SIGIR09 (CCF A, short)

15. Yuan Lin, Hongfei Lin, Zheng Ye, Song Jin and Xiaoling Sun. Learning to Rank with Groups. CIKM'10, Toronto, Canada, Oct. 26-30, 2010. (CCF B, short)

16. Qinmin Hu, Zheng Ye, and Jimmy Huang. Enhancing Content-Based Image Retrieval Using Machine Learning Techniques. Active Media Technology (AMT 2010).

17. Song Jin, Hongfei Lin, Yuan Lin and Zheng Ye. Social Annotation in Query Expansion a Machine Learning Approach. ACM SIGIR 2011 proceedings. (CCF A)

18. Jiajing Wu, Hongfei Lin, Yuan Lin and Zheng Ye. Learning to Rank Using Query-Level Regression. ACM SIGIR 2011 proceedings. (CCF A)

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。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