Name:Wo Yan

 

Professional Title / Position:Professor

 

Research Direction:Image/Video Processing, Computer Vision, Artificial Intelligence security

 

Team:Multimedia Technology and Graphics & Image Processing Research Team

 

Tel:

 

Email:woyan@scut.edu.cn

 

Biography:

简要介绍任职情况/学术兼职/教育背景/工作经历/学术经历/研究特色/学术影响等,(约 200-300 字)。

如有需要,可补充个人对研究生的招生要求。

 

Example:

I received my B.S. degree in Computer Science at Nanjing University in 1999, and my PhD in Computer Science at Nanjing University in 2005. I joined the Nanjing University as an assistant professor in 2005 , worked as an associate professor from 2008, and obtained professor in 2017. I have been on leave from Nanjing University from August 2010 to September 2011 to visit EECS Department and Statistics Department at UC Berkeley.

 

My research focuses on image/video processing, deep learning, and Artificial Intelligence security. I have served as Principal Investigator for one NSFC Young Scientists Fund, one sub-project of the NSFC–Guangdong Joint Fund, seven provincial/ministerial-level projects, and two department-level projects. As a core member, I have contributed to four NSFC General Programs, one National Key Technology Support Program, and more than ten provincial/ministerial R&D or key-special projects. To date, I have published over 80 peer-reviewed papers in journals such as IEEE Transactions on Information Forensics and Security, Knowledge-Based Systems, Chinese Journal of Computers, and Journal on Communications, and I hold nearly 20 granted invention patents. I received the Second Prize of the Guangdong Provincial Natural Science Award.

 

Education:

年份//学校/学位

Sep. 2001 – Jun. 2004: South China University of Technology,  Ph.D.

Sep. 1996 – Jun. 1999: Lanzhou University, M.S.

Sep. 1992 – Jun. 1996: Yunnan Normal University, B.S.

 

 

Work Experience:

年份//学校/学位

Sep 2014 – present: School of Computer Science and Engineering,  South China University of Technology, Professor.

Aug 2015 – Aug 2016: Department of Electrical and Computer Engineering, University of California, San Diego, Visiting Scholar.

Dec 2008 – Sep 2014: School of Computer Science and Engineering, South China University of Technology, Associate Professor.

Jul 2004 – Dec 2008: School of Computer Science and Engineering, South China University of Technology, Lecturer.

Jul 1999 – Sep 2001: School of Computer Science, Yunnan Normal University, Teaching Assistant.

 

 

Course:

个人主讲课程名称

Advanced Language Programming: C++

Digital Image Processing

 

Projects:

按级别从高到低排列,包括项目名称、项目来源(国家级 / 省部级 / 横向等)、起止时间、角色(负责人 / 参与人)

Research on Inversion-Reconstruction Attack Defense Mechanisms and Model Security Assessment, General Program of Guangdong Provincial Natural Science Foundation, 2025.01–2027.12, Principal Investigator.

Key Technologies for Resilience-Oriented Network-Wide Train Timetabling and Intelligent Dispatching of Urban Rail Transit, Guangzhou Key-Area R&D Program, 2022.04–2025.04, Participant.

Searchable Image Encryption and Compact Representation Methods, General Program of Guangdong Provincial Natural Science Foundation, 2021.01–2023.12, Principal Investigator.

Secure Image Hashing Resilient to Similarity Attacks, Guangzhou Science & Technology Program, 2020.04–2022.04,Principal Investigator.

 

 

 

Publications:

1. 学术论文(列出个人发表的,具影响力的学术论文,注明作者、标题、期刊 / 会议名称、发表时间)

Fuquan Gan, Yan Wo*(Corresponding author). Boosting the Transferability of Adversarial Examples Through Gradient Aggregation[J]. IEEE Transactions on Information Forensics and Security, 2025, 20:5563-5576

Shenhao Shi, Yan Wo*(Corresponding author). Defending Against Model Inversion Attack via Feature Purification[J]. IEEE Transactions on Information Forensics and Security, 2025, 20:4755-4768

Fuquan Gan, Yan Wo*(Corresponding author). Improving the transferability of adversarial examples through semantic-mixup inputs[J]. Knowledge-Based Systems,2025, 316, 113325

Yun Zhang, Yan Wo*(Corresponding author). Improving adversarial transferability via adaptive ensemble attack with post-optimization. Knowledge-Based Systems,2025, 326, 114079

Jieting Luo, Yan Wo*(Corresponding author), Bicheng Wu, Guoqiang Han. Learning Sufficient Scene Representation for Unsupervised Cross-modal Retrieval[J]. Neurocomputing, 2021,461: 404–418

Yuanlu Wu, Yan Wo*(Corresponding author),Guoqiang Han. Learning domain-invariant representation for generalizing face forgery detectionl[J]. Computers & Security, 2023, 130, 103280

Lianyi Yu,Qiang jiang Wang,Yan Wo*(Corresponding author),Guoqiang Han. Secure Biometric Hashing against Relation-Based Attacks via Maximizing Min-entropy[J]. Computers & Security,2022,118,02750

Hui Lin,Yan Wo*(Corresponding author),Yuanlu Wu,Ke Meng,Guoqiang Han. Robust source camera identification against adversarial attacks[J],Computers & Security,2021,100, 102079 

2. 专著 / 教材(名称、出版社、出版时间)

Hongyun Xu, Yan Wo, Yunping Zheng,, Fang Li. C++ Programming Tutorial, Tsinghua University Press, 2025

 

 

Awards:

按时间倒序排列,包括奖项名称、授予单位、授予时间