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Wenwu Wang was born in Anhui, China. He received the B.Sc. degree in 1997, the M.E. degree in 2000, and the Ph.D. degree in 2002, all from Harbin Engineering University, China.
He then worked in King's College London (2002-2003), Cardiff University (2004-2005), Tao Group Ltd. (now Antix Labs Ltd.) (2005-2006), and Creative Labs (2006-2007), before joining University of Surrey, UK, in May 2007, where he is currently a Professor in Signal Processing and Machine Learning, and a Co-Director of the Machine Audition Lab within the Centre for Vision Speech and Signal Processing. He was a Visiting Scholar at the Perception and Neurodynamics Laboratory (PNL) and the Center for Cognitive and Brain Sciences, in Ohio State University, USA, in 2008. He was a Guest Professor (2018-2020) at Qingdao University of Science and Technology, China, and is currently a Guest Professor (2020-) at Tianjin Univrsity, China.
His current research interests include blind signal processing, sparse signal processing, audio-visual signal processing, machine learning and perception, artificial intelligence, machine audition (listening), and statistical anomaly detection. He has (co)-authored over 250 publications in these areas including two books: Machine Audition: Principles, Algorithms and Systems by IGI Global published in 2010 and Blind Source Separation: Advances in Theory Algorithms and Applications by Springer in 2014.
He is a (co-)recipient of over 15 awards including the Best Paper Award on ICAUS 2021, Judge's Award on DCASE 2020, the Reproducible System Award on DCASE 2019 and 2020, Best Student Paper Award on LVA/ICA 2018, the Best Oral Presentation on FSDM 2016, Best Student Paper Award finalists on ICASSP 2019 and LVA/ICA 2010, the TVB Europe Award for Best Achievement in Sound in 2016, the Best Solution Award on the Dstl Challenge in 2012, and the 1st place in 2020 DCASE challenge on "Urban Sound Tagging with Spatio-Temporal Context", and the 1st place in the 2017 DCASE Challenge on "Large-scale Weakly Supervised Sound Event Detection for Smart Cars". He also received the Outstanding Graduate Award in 2000, the Excellent Paper Award in 2000, the Excellent Thesis Award in 2000 and numerous Scholarships for academic excellence from Harbin Engineering University.
He is a Senior Area Editor (2019-) for IEEE Transactions on Signal Processing, an Associate Editor (2020-) for IEEE/ACM Transactions on Audio Speech and Language Processing, and an Associate Editor (2019-) for EURASIP Journal on Audio Speech and Music Processing. He is a Specialty Editor in Chief (2021-) of Frontier in Signal Processing, and was an Associate Editor (2014-2018) for IEEE Transactions on Signal Processing. He is an Elected Member (2021-) of the IEEE Signal Processing Theory and Methods Technical Committee, an Elected Member (2021-) of IEEE Machine Learning for Signal Processing Technical Committee, and an Elected Member (2019-) of the International Steering Committee of Latent Variable Analysis and Signal Separation. He was a Publication Co-Chair for ICASSP 2019, Brighton, UK. He is a Satellite Workshop Co-Chair for INTERSPEECH 2022, Incheon, Korea. He is a Senior Member of IEEE, and a Fellow of the Higher Education Academy.
[Home] [Publications] [Research] [Teaching] [Short Bio] [Demo & Data] [Codes]Last updated in April 2021 First created in May 2007