Ziqiao Wang
Scholar

Ziqiao Wang

Google Scholar ID: iBL7APIAAAAJ
Assistant Professor of Computer Science, Tongji University
Machine LearningStatistical Learning TheoryDeep LearningInformation Theory
Citations & Impact
All-time
Citations
222
 
H-index
9
 
i10-index
7
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted at top conferences like NeurIPS, ICML, ICLR; served as a reviewer for several journals including IEEE Transactions on Information Theory; will serve as an Area Chair for ICLR 2026.
Research Experience
  • Was a research intern at National Research Council Canada (NRC) during Summer and Fall 2019.
Education
  • Completed PhD at the University of Ottawa in May 2024, advised by Prof. Yongyi Mao.
Background
  • Research interests: Theoretical foundations of machine learning, with a particular focus on statistical learning theory and information theory. Primary research area is generalization theory, including both in-distribution and out-of-distribution settings (e.g., domain adaptation), often applying information-theoretic analysis tools. Recently, also exploring safety and trustworthiness in large language models (LLMs), including topics such as LLM alignment and watermarking.
Miscellany
  • Currently a tenure-track assistant professor at the School of Computer Science and Technology, Tongji University, and affiliated with the Key Laboratory of Embedded System and Service Computing, Ministry of Education, China.