Jing Wu
Scholar

Jing Wu

Google Scholar ID: wRWAmm4AAAAJ
Research Fellow @Monash University
Trustworthy MLAI securityMachine unlearning
Citations & Impact
All-time
Citations
510
 
H-index
9
 
i10-index
9
 
Publications
12
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Selected publication: 'MUNBa: Machine Unlearning via Nash Bargaining' by Jing Wu and Mehrtash Harandi, arXiv preprint arXiv:2411.15537v2, 2024.
Research Experience
  • Currently a Postdoctoral Research Fellow at the Department of Data Science & AI, Faculty of Information Technology, Monash University.
Education
  • Ph.D. in Engineering from Monash University, Australia, supervised by A/Prof. Mehrtash Harandi and Dr. Munawar Hayat; Master's student at UESTC, working with Prof. Yipeng Liu and Prof. Ce Zhu; Interned at Megvii under the mentorship of Prof. Shuaicheng Liu.
Background
  • Research interests include Trustworthy ML and Responsible AI, focusing on the analysis of vulnerabilities in deep learning models and developing algorithms to enhance safety and reliability. The long-term goal is to make AI systems safe, reliable, and unbiased.