Biography
Yik-Chung Wu received the B.Eng. (EEE) degree in 1998 and the M.Phil. degree in 2001 from The University of Hong Kong (HKU). He received the Croucher Foundation scholarship in 2002 to study Ph.D. degree at Texas A&M University, College Station, and graduated in 2005. From August 2005 to August 2006, he was with the Thomson Corporate Research, Princeton, NJ, as a Member of Technical Staff. Since September 2006, he has been with HKU, currently as an Associate Professor. He was a visiting scholar at Princeton University, in summers of 2015 and 2017. His research interests are in general areas of signal processing and communication systems, and in particular Bayesian inference, distributed algorithms, and large-scale optimization. Dr. Wu served as an Editor for IEEE Communications Letters, and IEEE Transactions on Communications. He is currently a Senior Area Editor for IEEE Transactions on Signal Processing, an Associate Editor for IEEE Wireless Communications Letters, and an Editor for Journal of Communications and Networks. He was a symposium chair for many international conferences, including IEEE International Conference on Communications (ICC) 2023. He received four best paper awards in international conferences, with the most recent one from IEEE International Conference on Communications (ICC) 2020. He was elected the Best Editor of the year 2023 in IEEE Wireless Communications Letters. He is a senior member of the IEEE.
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Selected Publications
- Lei Cheng, Zhongtao Chen, and Yik-Chung Wu, Bayesian Tensor Decomposition for Signal Processing and Machine Learning: Modeling, Tuning-Free Algorithms, and Applications, Springer, 2023.
- Yunqi Wang, Yang Li, QingJiang Shi, and Yik-Chung Wu, “ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks,” IEEE Trans. on Wireless Communications, vol. 23, no. 6, pp. 5330-5344, Jun 2024.
- Bin Li, Nan Wu and Yik-Chung Wu, “Distributed Inference with Variational Message Passing in Gaussian Graphical Models: Trade-offs in Message Schedules and Convergence Conditions,” IEEE Trans. on Signal Processing, vol. 72, pp.2021-2035, 2024.
- Zongze Li, Qingfeng Lin, Yik-Chung Wu, Derrick Wing Kwan Ng, and Arumugam Nallanathan, “Enhancing Physical Layer Security with RIS under Multi-Antenna Eavesdroppers and Spatially Correlated Channel Uncertainties,” IEEE Trans. on Communications, vol. 72, no. 3, pp. 1532-1547, Mar 2024.
- Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu, and H. Vincent Poor, “Overcoming Beam Squint in Dual-Wideband mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach,” in IEEE Transactions on Signal Processing, vol. 72, pp. 1219-1234, 2024.