Scholar
Yujia Jin
Google Scholar ID: XTncVoQAAAAJ
Stanford University
Citations & Impact
Citations
771
H-index
16
i10-index
18
Publications
20
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- Published papers in top conferences such as COLT 2023, ICML 2023, ITCS 2022, NeurIPS 2022, and ICALP 2022. Topics include regret minimization in model-free reinforcement learning, spectrum approximation, quantum speedups for zero-sum games, complexity of general-sum stochastic games, Monteiro-Svaiter acceleration, and more.
Research Experience
- Delivered talks at Google Research, INFORMS Annual Meeting, Young Researcher Workshop at Cornell ORIE, Learning and Games Program at Simons Institute, RL Theory Seminar, OR Seminar at Stanford, and more.
Education
- Received a Bachelor's degree in Applied Math from Fudan University in 2018, advised by Prof. Zhongzhi Zhang; worked at the Research Institute for Interdisciplinary Sciences (RIIS) at SHUFE from 2016 to 2018, advised by Prof. Dongdong Ge; currently a fifth-year PhD student in the Operations Research group at Stanford University, advised by Aaron Sidford.
Background
- Broadly interested in optimization problems, sometimes in the intersection with machine learning theory and graph applications. Enjoys understanding the theoretical ground of many algorithms that are of practical importance.
