3 papers accepted in ICML 2023; 1 paper accepted in NeurIPS 2022; 3 papers accepted in ICML 2022.
Research Experience
Joined Tsinghua University as a tenure-track assistant professor in August 2021.
Background
Research interest is in efficient machine learning, particularly quantized neural networks, stochastic optimization algorithms, and probabilistic inference algorithms. In the past, developed several scalable training systems for topic models.
Miscellany
Looking for highly motivated post-docs to work on deep learning algorithms, theory, or systems. Various types of fellowship are available for outstanding applicants, such as Shui Mu Scholar and Innovation Fellow.