My name is Lin Yang (杨林). I am currently a postdoc fellow at Princeton university (mentor: Prof. Mengdi Wang). I obtained my PhD degrees (in Computer Science and in Physics & Astronomy) from Johns Hopkins University. I was a recipient of the Dean Robert H. Roy Fellowship. I will be joining ECE@UCLA as an assistant professor in Fall, 2019.
I am looking for motivated students working on Machine Learning and Reinforcement Learning. Please contact me if you are interested in my research.
My research focuses on developing and applying fast algorithms for large-scale optimization and machine learning. I am keen on understanding the fundamental theory and computation limits of optimization from streaming data. I have worked on a number of topics including nonconvex streaming optimization, policy optimization for reinforcement learning, and streaming methods for optimization and function approximations. I am also enthusiastic about applying my algorithmic developments to accelerate real-world applications. For instance, my algorithmic developments have been applied to accelerate astrophysical discoveries.
[Last Updated May. 2019]
- Program Committee: ACML
- Conference Reviewing: ICML, NeurIPS, STOC, FOCS, COLT, PODS, ITCS, ACML, AISTATS, ICALP, RANDOM, ESA, LATIN, KAIS, FSTTCS
- Journal Reviewing: Theoretical Computer Science, QIC, JCSS, OPRE
Johns Hopkins University, Baltimore, MD
- 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)
Tsinghua University, Beijing, China
- B.S. in Math & Physics with High Honors
My middle name Forrest is a translation of my first name (林). My publication name is Lin F. Yang. Note that my official name (Lin Yang OR 杨林) does not contain a middle name.