PAN Jun
BriefEducation and Work Background
Zhejiang University of Science and Technology, Associate Professor, 2019-Present.
Wenzhou University, Lecture, 2008-2019
China Telecom, Engineer, 2004-2008
Zhejiang University, Computer Science, Ph.D., 2007-2011
East China University of Science and Technology, Computer Science, Master, Bachelor, 1997-2004
Zhejiang University of Science and Technology, Mathematics and Applied statistics (Master Tutor), 2019-Present
Email:panjun@zust.edu.cn
Main Research Interests
1.Natural language processing, data mining and knowledge discovery
2.Digital humanities, computational sociology and complex system
Main Research Projects
1. The National Social Science Foundation China (NO.23BTQ019),November 2023-Dec 2027.
2. TheKeyProject of Humanities and Social Sciences in Colleges and Universities of Zhejiang Province (No2023QN088),Jan 2023-Dec 2026.
3.Zhejiang Public Welfare Technology Application Research Project of China (LGN21F020003),Jan 2021-Dec 2024.
4.Humanities and Social Sciences Project of the Ministry of Education of China(18YJCZH137),Nov2018-Nov2023.
5.Zhejiang Public Welfare Technology Application Research Project of China (2012C33086),June 2012-May 2015.
Main Published Papers
(https://orcid.org/0000-0002-2994-5070)
[1]Pan J, Zhang C, Wang H, et al. A comparative study of Chinese named entity recognition with different segment representations[J]. Applied Intelligence, 2022, 52(11):12457-12469.
[2]Qian Y, Ma D, Wang B, Pan J*. Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolutional Neural Networks[J]. Computers & Security, 2020, 95:101826.
[3]Wu Z, Xie J, Lian X, Pan J*, Lei J. A privacy protection approach for XML-based archives management in a cloud environment[J]. The Electronic Library, 2019, 37(6):970-983.
[4] Pan J,Wu Z.Diachronic Semantic Mining and Visualization of Chinese Words: A Knowledge Discovery Perspective[J].Journal of the China Society for Scientific and Technical Information,2021,40(10):1052-1064.
[5] Pan J. Distributed Representation Learning for the Historical Figures Based on CBDB and Ancient Books: A Digital Humanistic Perspective [J]Library Journal, 2020,39(08):94-102.
