Shuo He
Scholar

Shuo He

Google Scholar ID: hwYvF98AAAAJ
University of Electronic Science and Technology of China
Machine learningAI SafetyLLM Agents
Citations & Impact
All-time
Citations
173
 
H-index
6
 
i10-index
5
 
Publications
16
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Multiple papers accepted by top conferences including NeurIPS'25, ICLR'24 (Oral), ICML'25, AAAI'25 (Oral); Invited as a PC member for ICLR'26 and a Senior PC member for AAAI'26.
Research Experience
  • Currently a Research Fellow at Nanyang Technological University (NTU), Singapore. Focused on developing efficient machine learning algorithms under limited supervision. Currently dedicated to exploring reinforcement learning techniques for training LLM-based agents deployed in real-world applications.
Education
  • Earned a PhD degree from the University of Electronic Science and Technology of China (UESTC) in 2024.
Background
  • Research interests include weakly-supervised machine learning (e.g., noisy-label learning, partial-label learning), AI safety (particularly backdoor and jailbreak attacks on vision-language models), and LLM-based agents.
Miscellany
  • Has a GitHub account and a Google Scholar page.
Co-authors
0 total
Co-authors: 0 (list not available)