Chak Tou Leong (Zetao Liang)
Scholar

Chak Tou Leong (Zetao Liang)

Google Scholar ID: tv7RFsMAAAAJ
PhD Student, The Hong Kong Polytechnic University
LLM SafetyMechanistic InterpretabilityLLM Alignment
Citations & Impact
All-time
Citations
319
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
7
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Multiple papers accepted at EMNLP 2025, ACL 2025, ICML 2025, with one paper selected as an oral presentation (Top 8%) at ACL 2025.
Research Experience
  • PhD student at the Natural Language Processing Group of The Hong Kong Polytechnic University, specializing in LLM safety and alignment research.
Education
  • PhD: The Hong Kong Polytechnic University, advised by Prof. Maggie Wenjie Li; BEng: School of Computer Science, Wuhan University, 2022.
Background
  • Third-year Ph.D. student at the Natural Language Processing Group of The Hong Kong Polytechnic University, focusing on mechanistic interpretability for LLM safety. Broad interests include mechanistic interpretability of LLMs' general computational processes, LLM alignment, improving their reasoning capabilities, and developing more effective interactions between LLMs, humans, and the environment.