Our research spans over multiple disciplines including machine/deep learning, large-scale optimization, information theory, statistical signal processing and 6G communications. The current research topics are briefly summarized as follows:

• Federated/Distributed Learning

• Lifelong/Continual Learning

• Reinforcement Learning

• Faster Learning for Hyperscale AI (Large-Scale Optimization)

• AI for Wireless Communications/ AI for Circuit Design

• Semantic Communications

• Statistical Signal Processing (Compressed Sensing/Matrix Completion)

Mathematical Backgrounds: Probability & Statistics, Linear Algebra, Random Process, Algorithms, Machine Learning and Optimizations