Prof. Dr. Yiu-Ming Cheung (FIEEE, FAAAS, FIET, FBCS)
Hong Kong Baptist University, Hong Kong

Yiu-ming Cheung (SM’06--F’18) received Ph.D. degree from Department of Computer Science and Engineering at The Chinese University of Hong Kong in 2000. He joined the Department of Computer Science in Hong Kong Baptist University (HKBU) in 2001, and became a full professor since 2012. He is an IEEE Fellow, AAAS Fellow, IET Fellow, and British Computer Society (BCS) Fellow. His research interests include Machine Learning, Intelligent Visual Computing, Pattern Recognition, Data Mining, Watermarking, and Optimization. He has published over 250 articles in the high-quality conferences and journals, including TPAMI, TNNLS, TIFS, TIP, TKDE, TCYB, CVPR, IJCAI, and AAAI. He was ranked the World’s Top 1% Most-cited Scientists in the field of Artificial Intelligence and Image Processing by Stanford University in 2020. His three co-authored papers are selected as ESI Highly Cited Papers (i.e. listed in Top 1% globally in the corresponding discipline). He has been granted one Chinese patent and two US patents. In particular, selected from 1000 new inventions and products of 700+ competition teams from 40 countries, he was awarded two most prestigious prizes: (1) the Gold Medal with Distinction (i.e. the highest grade in Gold Medals) and (2) Swiss Automobile Club Prize, in the 45th International Exhibition of Invention, Geneva, Switzerland, on March 29-April 2, 2017, in recognition of his innovative work. Also, he was the Gold Award Winner of Hong Kong Innovative Invention Award in the Seventh Hong Kong Innovative Technologies Achievement Award 2017. In addition, he won the Gold Medal with Congratulations of Jury (i.e. the highest grade in Gold Medals) at the 46th International Exhibition of Inventions of Geneva 2018. Prof. Cheung is the recipient of: (1) 2011 Best Research Award in Department of Computer Science, HKBU, (2) Best Paper Awards in SEAL’2017, ISICA’2017, ICNC-FSKD’2014, and IEEE IWDVT’2005, respectively, (3) Best Student Paper Award in ISMIS’2018, (4) Best in Theoretical Paper Award in WI-IAT’2020, and (5) 2017 IETI Annual Scientific Award. Also, he is the recipient of 2017-2019 Albert Nelson Marquis Lifetime Achievement Award. He has been elected as an IEEE CIS Distinguished Lecturer, and the Changjiang Chair Professor awarded by Ministry of Education of China. He is the Founding Chairman of IEEE (Hong Kong) Computational Intelligence Chapter, and the Chair of Technical Committee on Intelligent Informatics (TCII) of IEEE Computer Society. He has served in various capacities (e.g., Organizing Committee Chair, Program Committee Chair, Program Committee Area Chair, and Financial Chair) at several top-tier international conferences, including IJCAI’2021, ICPR’2020, ICDM’2017 & 2018, WCCI’2016, WI-IAT’2012, ICDM’2006 & WI-IAT’2006, to name a few. He is an Associate Editor for several prestigious journals, including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Cognitive and Developmental Systems, Pattern Recognition, and Neurocomputing, as well as the Guest Editor in several international journals. Currently, he is an Engineering Panel member of Research Grants Council, Hong Kong, and a Fellow Committee member of IEEE Computational Intelligence Society.

 

 

Prof. Hua Huang
Beijing Normal University, China

Hua Huang (Senior Member, IEEE) received the B.S. and Ph.D. degrees from Xi’an Jiaotong University in 1996 and 2006, respectively. He is currently a Professor with the School of Artificial Intelligence, Beijing Normal University. He is also an Adjunct Professor with the School of Computer Science and Technology, Beijing Institute of Technology. His research interests include image and video processing, computational photography, and computer graphics.

 

 

 

Prof. James Tin-Yau KWOK, IEEE Fellow
Hong Kong University of Science and Technology

Prof. Kwok is a Professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. Prof. Kwok is serving as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, Artificial Intelligence Journal, International Journal of Data Science and Analytics, and Editorial Board Member of Machine Learning. He also served/is serving as Senior Area Chairs of major machine learning / AI conferences including NeurIPS, ICML, ICLR, IJCAI, and as Area Chairs of conferences including AAAI and ECML. He is recognized as the Most Influential Scholar Award Honorable Mention for "outstanding and vibrant contributions to the field of AAAI/IJCAI between 2009 and 2019". Prof Kwok will be the IJCAI-2025 Program Chair. He is an IEEE Fellow.

 

 

Dr Hongying Meng
Brunel University London, UK


Dr Hongying Meng received his Ph.D. degree in communication and electronic systems from Xi’an Jiaotong University, Xi’an, China. He is currently a Reader with the Department of Electronic and Electrical Engineering, Brunel University London, U.K. His research interest includes digital signal processing, machine learning, human computer interaction, affective computing and embedded systems. He has authored around 200 papers published in top journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Human-Machine Systems, IEEE Transactions on Affective Computing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Biomedical Engineering, IEEE Journal of Solid-State Circuits, IEEE Transactions on Microwave Theory and Techniques, Pattern Recognition, Neurocomputing, and top conferences such as NIPS, ICASSP, CVPR, etc. Dr Meng is senior member of IEEE and an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Cognitive and Developmental Systems, and Journal of Real-Time Image Processing (Springer). His audio-based emotion recognition system won the AVEC 2011 challenge award, and his video-based emotion recognition system won the AVEC 2013 challenge award. He was recognised as one of The 2022 AI 2000 Most Influential Scholars (Ranked 98th in Artificial Intelligence->Multimedia as a New Star) by Aminer in 2022.