葉 正
發布時間：2024-10-08 瀏覽次數：
葉正，博士，教授，碩士生導師，軟件理論教研室。主要研究興趣包括：多語言自然語言處理和深度學習，及其在對話系統、機器閱讀理解、信息檢索等方面的應用。2003年于武漢理工大學信息與技術科學獲得學士學位，2011年獲得大連理工大學計算機軟件與理論博士學位（2008-2011年間CSC公派聯合培養博士）；2011-2012年，杭州電子科技大學計算機學院講師；2012-2014年期間加拿大約克大學博士后從事科研工作；2014-2016年期間，任微軟Maluuba（Montreal）深度學習科學家；2016-2019年期間任武漢泰迪智慧科技有限公司首席科學家&研發總監。在國內外重要學術期刊和會議發表論文30+篇，其中包括本領域主要會議ACL、SIGIR、EMNLP、CIKM和學術期刊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. 基于機器學習的相關反饋算法中若干關鍵問題研究. 國家青年科學基金(主持)
3. 網絡挖掘與機器學習在相關反饋中應用研究. 浙江省科學基金. (主持)
4. 大模型增強地學大數據分析關鍵技術研究. 中央科研業務費（自科）(主持)
學術活動:
1. 程序委員會委員
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. 國際雜志審稿人
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
雜志論文：
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區, 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區 IF=3.7)
3. 顏政錦，葉正*，葛君. 多模態預訓練模型在金融票據信息抽取中的應用. 計算機工程與應用，2025, 05, （北大核心）
4. 葉正; 傅靈; 覃俊; 劉晶. 基于利用BERT不同層信息的微調策略的對話狀態追蹤. 中南民族大學學報（自然科學版） 2023, Vol.42 No.3, 327-333 （北大核心）
5. 胡志博，葉正*. 基于多任務學習的金融時間序列預測研究[J], 中南民族大學學報(自然科學版) [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區, 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類期刊）
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, 中科院分區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，中科院分區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，中科院分區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)
會議論文:
1. Zhou Liu, Zheng Ye*, Jing Liu and Jun Qin*. Dy-Sigma: A Generalized Accelerated Convergence Strategy for Diffusion Models. IJCNN (CCF C類會議)
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 (會議論文 CCF A) ( 本人標注: 共同通訊作者 )
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 (會議論文 CCF C) ( 本人標注: 共同通訊作者 )
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)
課題組招收自然語言處理等相關方向的碩士研究生，如果你對創新和科研有著濃厚興趣，且有較強科研動手能力，歡迎加入本課題組。提供優良的實驗和學習環境，資助學生做有創意的研究和發表高質量論文。
電子郵件地址：yezheng-at-scuec.edu.cn
