Scholar
Shunquan Tan
Google Scholar ID: WrKuu14AAAAJ
Shenzhen MSU-BIT University
Citations & Impact
Citations
3,208
H-index
26
i10-index
40
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Led two General Program projects funded by the National Natural Science Foundation of China (NSFC) and participated as a key member in two NSFC Key Joint Fund projects. Since assuming his current position, he has published over 40 academic papers, including more than 20 as first or corresponding author, with 13 papers in SCI Zone 1 or CCF-A journals. Over the past five years, his work has garnered over 2,800 citations on Google Scholar, with an H-index of 26. His most cited paper has over 400 citations, and six papers have exceeded 200 citations each. Received multiple awards, including the First Prize of Natural Science Award from the China Computer Federation and the Second Prize of Natural Science Award from the China Society of Image and Graphics.
Research Experience
- 2005/10 - 2006/11, Visiting Scholar at New Jersey Institute of Technology, USA, Collaborative Advisor: Prof. Yunqing Shi.
Education
- 2002/09 - 2007/07, Sun Yat-sen University, Department of Computer Science, Ph.D. (Integrated Master-Doctoral Program), Advisor: Prof. Jiwu Huang; 1998/09 - 2002/07, Sun Yat-sen University, Department of Scientific Computing and Computer Application, Bachelor's Degree.
Background
- Ph.D. in Engineering, male, aged 44, is a Professor and Doctoral Supervisor at Shenzhen MSU-BIT University. A member of the Communist Party of China, he is recognized as a High-Level Professional Talent in Shenzhen. He serves as the Deputy Director of the Shenzhen Key Laboratory of Media Security, a member of the IEEE Technical Committee on Information Forensics and Security, and a member of the Digital Media Forensics and Security Committee of the China Society of Image and Graphics. Research Interests: Multimedia Forensics, Multimedia Security, Security of Large-Scale Deep Learning Models.
Miscellany
- Graduate Student Recruitment Directions: Ph.D.: Computer Science and Technology; Master's: Computer Science and Technology, Computer Technology, Artificial Intelligence.
Co-authors