Welcome to Chen Liang (Chinese: 梁辰)‘s homepage! I am a third-year student in the Machine Learning Ph.D Program at Georgia Institute of Technology (Georgia Tech). I am very fortunate to work with Prof. Tuo Zhao in the FLASH (Foundations of LeArning Systems for alcHemy) research group. I received my M.S degree in Computational Science & Engineering from Georgia Tech, and received my B.S degree in Electrical Engineering from University of Southern California (USC). My undergrad advisor is Prof. C.-C Jay Kuo.
I am generally interested in machine learning for natural language processing. My research mainly focuses on developing methodologies and algorithms to improve parameter efficiency and model generalization of neural language models. My interests also include transfer learning and representation learning (e.g., multi-domain and multi-task learning).
Ph.D in Machine Learning, Georgia Tech, School of Industrial&System Engineering, 2023 (Expected)
M.S in Computational Science&Engineering, Georgia Tech, School of Computational Science&Engineering, 2020
B.S in Electrical Engineering, USC, Department of Electrical&Computer Engineering, 2018