Yonggang ZHANG
Scholar

Yonggang ZHANG

Google Scholar ID: XSbEr98AAAAJ
HKUST
Machine LearningArtificial Intelligence
Citations & Impact
All-time
Citations
1,982
 
H-index
22
 
i10-index
29
 
Publications
20
 
Co-authors
16
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Served as reviewers for many top-tier conferences and journals, including ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, IJCAI, AAAI, TIP-IEEE, TNNLS, etc.
Research Experience
  • - Research Assistant (Dec 2020 -- Jul 2022): Advisor Dr. Bo Han, Project: Adversarial Learning
  • - Postdoctoral Fellow (Aug 2022 -- Dec 2023): Advisor Dr. Bo Han, Project: Adversarial Learning
Education
  • - Ph.D. in Information Science, University of Science and Technology of China (USTC), June 2022, supervised by Prof. Xinmei Tian
  • - Bachelor, School of Information Science and Technology, China University of Petroleum (East China), Qingdao, July 2017
Background
  • Research interests: Trustworthy machine learning and reasoning, such as adversarial learning, federated learning, and out-of-distribution learning. Long-term goal is to develop trustworthy machines for human health promotion.