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 large-scale 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