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 has been a Guest Professor at Qingdao University of Science and Technology, China, since 2018.
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.
His work has been recognised internationally, including Best Paper Award on LVA/ICA 2018, the Most Downloaded Papers in IEEE/ACM Transactions on Audio Speech and Language Processing in 2018 and 2019, the Best Oral Presentation on FSDM 2016, and the Top Paper Award in IEEE ICME 2015, the Front Page of IEEE Transactions on Signal Processing 2013, Best Student Paper Award nominations on ICASSP 2019 and LVA/ICA 2010, and Featured Articles in Wiley/IEEE publications in 2008. As a team member, he achieved the 3rd place (among 558 submitted systems) in the 2018 Kaggle Challenge "Free-sound general purpose audio tagging", the 1st place (among 35 submitted systems) in the 2017 DCASE Challenge on "Large-scale weakly supervised sound event detection for smart cars", the TVB Europe Award for Best Achievement in Sound in 2016 and the finalist for GooglePlay Best VR Experience in 2017, and the Best Solution Award on the DSTL Challenge "Under-sampled signal signal recognition" in 2012. He also received the Outstanding Graduate Award in 2000, the Excellent Paper Award in 2000, the Excellent Thesis Award in 2002 and numerous Scholarships for academic excellence from Harbin Engineering University.
He has been a Senior Area Editor (2019-) and an Associate Editor (2014-2018) for IEEE Transactions on Signal Processing. He was a Publication Co-Chair for ICASSP 2019, Brighton, UK, and will be a Tutorial Chair for ICASSP 2024, Seoul, South Korea. He is a Senior Member of IEEE, and a Fellow of the Higher Education Academy.
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