Scholar
Yivan Zhang
Google Scholar ID: Q7S9kh4AAAAJ
The University of Tokyo, RIKEN AIP
Citations & Impact
Citations
319
H-index
6
i10-index
5
Publications
9
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Published Paper: “Recursive Reward Aggregation” accepted to RLC'25
- - Organized IJCAI'25 Tutorial: “AI Meets Algebra: Foundations and Frontiers”
- - Research supported by RIKEN AIP, JSPS, JST, and MSRA
Research Experience
- - Assistant Professor, Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo
- - Visiting Scientist, Imperfect Information Learning Team, RIKEN Center for Advanced Intelligence Project
- - Former Postdoctoral Researcher, RIKEN Center for Advanced Intelligence Project
Education
- - Ph.D., The University of Tokyo, Advisor: Prof. Masashi Sugiyama
Background
- - Research Interests: Theory and application of machine learning, especially algebra and applied category theory in machine learning
- - Professional Field: Foundational machine learning, representation learning, reinforcement learning, etc.
- - Brief Introduction: Long-term goal is to understand how the structure of learning systems gives rise to intelligent behavior, focusing on the emergence of perception, abstraction, reasoning, and creativity, and using algebraic tools to manage their growing complexity.
Miscellany
- - Loves things that are discovered, not invented
- - Welcomes people with specific research ideas to get in touch via email
- - Also happy to meet in person for a coffee if you’re in Tokyo
Co-authors