Yik-Chung WU

Yik-Chung Wu is an Associate Professor in the Department of Electrical and Electronic Engineering at The University of Hong Kong. His research interests include Tensor Completion, Bayesian Signal Processing, Fast Optimization for Wireless Communications, and Clock Synchronization. He received his B.Eng. (EEE) degree in 1998 and M.Phil. degree in 2001 from The University of Hong Kong. He earned his Ph.D. from Texas A&M University in 2005. Wu has been with The University of Hong Kong since 2006 and has served as a visiting scholar at Princeton University. He is a Senior Member of the IEEE and has held editorial roles in several IEEE publications. His work has been recognized with multiple best paper awards, including one at IEEE ICC 2020.

Yik-Chung WU is a researcher at The University of Hong Kong, focusing on synchronization, tensor methods, resource allocation, and distributed algorithms. His work addresses challenges in wireless sensor networks, including clock synchronization, load/price forecasting, and distributed clock skew estimation. He has contributed to the development of algorithms for time synchronization in cooperative communication systems and explored robust transceiver designs for MIMO relaying. Additionally, his research includes probabilistic tensor decomposition and machine intelligence at the edge with power allocation. These efforts highlight his commitment to advancing communication systems and signal processing through innovative algorithmic solutions.