Dr Wei Dai is a lecturer in the Department of Electrical and Electronic Engineering.
et al., 2017, Group Sparse Bayesian Learning Via Exact and Fast Marginal Likelihood Maximization, Ieee Transactions on Signal Processing, Vol:65, ISSN:1053-587X, Pages:2741-2753
Liu A, Lau VKN, Dai W, 2016, Exploiting Burst-Sparsity in Massive MIMO With Partial Channel Support Information, Ieee Transactions on Wireless Communications, Vol:15, ISSN:1536-1276, Pages:7820-7830
et al., 2016, Spectrally Efficient CSI Acquisition for Power Line Communications: A Bayesian Compressive Sensing Perspective, Ieee Journal on Selected Areas in Communications, Vol:34, ISSN:0733-8716, Pages:2022-2032
et al., 2016, Structured Compressive Sensing-Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO, Ieee Transactions on Communications, Vol:64, ISSN:0090-6778, Pages:601-617
et al., 2016, Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning, Ieee Transactions on Signal Processing, Vol:64, ISSN:1053-587X, Pages:417-431