Scholar
Lin F. Yang (杨林)
Google Scholar ID: umivlPQAAAAJ
Assistant Professor, Department of Electrical and Computer Engineering @ UCLA
Citations & Impact
Citations
4,689
H-index
30
i10-index
69
Publications
20
Co-authors
32
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Recipient of the Amazon Faculty Award, Simons Research Fellowship, Dean Robert H. Roy Fellowship, and JHU MINDS Best Dissertation Award. Served as Area Chair for ICLR, AISTATS, ICML, NeurIPS, and Senior Program Committee for AAAI. Reviewed for multiple journals and conferences including Theoretical Computer Science, QIC, JCSS, OPRE, TMLR, and more.
Research Experience
- Before joining UCLA, he was a postdoctoral researcher at Princeton University working with Prof. Mengdi Wang.
Education
- Ph.D. in Computer Science, Advisors: Vladimir Braverman, Alex Szalay; Ph.D. in Physics & Astronomy, Advisor: Alex Szalay; MS.E. in Computer Science (GPA 4.0/4.0), B.S. in Math & Physics with High Honors, Tsinghua University, Beijing, China.
Background
- Currently an Associate Professor (tenured) in the Electrical and Computer Engineering Department and Computer Science Department at the University of California, Los Angeles. His research focuses on the foundations of modern machine learning and data science, especially in reinforcement learning, large language model acceleration, non-convex optimization, and streaming algorithms. He is particularly interested in safe and efficient decision-making under uncertainty, bridging theoretical insights with real-world impact in areas such as healthcare, robotics, and scientific discovery.
Miscellany
- My middle name Forrest is a translation of my first name (林). My publication name is Lin F. Yang -- to distinguish me from many Lin Yang's. Note that my official name (Lin Yang OR 杨林) does not contain a middle name.
