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个人简介
After graduation from Master degree, he was a research assistant in the same university. During his study at Texas A&M University, he was fully supported by the Croucher Foundation scholarship. From Aug. 2005 to Aug. 2006, he was with the Thomson Corporate Research, Princeton, NJ, as a Member of Technical Staff. Since Sep. 2006, he has been with the University of Hong Kong as an Assistant Professor.
His research interests are in general area of signal processing and communication systems, and in particular receiver algorithm design, synchronization techniques, channel equalization, software radio, OFDM, MIMO, cooperative systems, Bayesian inference, Monte Carlo statistical methods, and low complexity implementation of DSP algorithms. Dr. Wu is currently serving as an Associate Editor for IEEE Communications Letters. He was a TPC member for over 10 IEEE major conferences. He received two best paper awards in international conferences. More details are included in his Curriculum Vitae.
Research Interests
Machine Learning, Signal Processing, Communication Systems
His research interests are in general area of signal processing and communication systems, and in particular receiver algorithm design, synchronization techniques, channel equalization, software radio, OFDM, MIMO, cooperative systems, Bayesian inference, Monte Carlo statistical methods, and low complexity implementation of DSP algorithms. Dr. Wu is currently serving as an Associate Editor for IEEE Communications Letters. He was a TPC member for over 10 IEEE major conferences. He received two best paper awards in international conferences. More details are included in his Curriculum Vitae.
Research Interests
Machine Learning, Signal Processing, Communication Systems
研究兴趣
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ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.8871-8875, (2024)
Engineering Applications of Artificial Intelligence (2024): 108218
IEEE Trans. Commun.no. 3 (2024): 1532-1547
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IEEE Transactions on Wireless Communicationsno. 99 (2024): 1-1
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2024): 942-957
Bayesian Tensor Decomposition for Signal Processing and Machine Learningpp.155-168, (2023)
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