Quanshi Zhang
Scholar

Quanshi Zhang

Google Scholar ID: YvN-H_0AAAAJ
Shanghai Jiao Tong University
Interpretable Machine Learning
Citations & Impact
All-time
Citations
5,420
 
H-index
31
 
i10-index
67
 
Publications
20
 
Co-authors
0
 
Contact
Resume (English only)
Background
  • Associate Professor at John Hopcroft Center for Computer Science, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University
  • Recipient of the National Overseas High-Level Talent Recruitment Program
  • ACM China Rising Star Award winner
  • Research focuses on Explainable AI (XAI), including XAI theories, design of interpretable neural networks, and explaining the representation power (e.g., adversarial robustness and generalization) of DNNs
  • Aims to build a theoretical framework based on game-theoretic interactions to connect symbolic concepts encoded in DNNs with their generalization and robustness
  • Uses game-theoretic interactions to uncover common mechanisms underlying various heuristic deep learning methods
Co-authors
0 total
Co-authors: 0 (list not available)