KEYNOTE SPEAKERS OF PRML 2024


Chair Prof. Kay Chen Tan (FIEEE)
The Hong Kong Polytechnic University

Kay Chen Tan is a Chair Professor (Computational Intelligence) of the Department of Computing, The Hong Kong Polytechnic University. He has co-authored nine books and published over 300 peer-reviewed journal articles. Prof. Tan currently serves as the Vice-President (Publications) of the IEEE Computational Intelligence Society, USA, from 2021 to 2025. He was the Editor-in-Chief of IEEE Transactions on Evolutionary Computation from 2015-2020 and IEEE Computational Intelligence Magazine from 2010-2013. Prof. Tan is an IEEE Fellow and an Honorary Professor at the University of Nottingham in the UK. He is also the Chief Co-Editor of the Springer Book Series on Machine Learning: Foundations, Methodologies, and Applications.

Prof. Lei Zhang
Chongqing University

Dr. Lei Zhang is currently a full professor with School of Microelectronics and Communication Engineering, Chongqing University, China, and leader of Chongqing Key Laboratory of Bio-perception & Multimodal Intelligent Information Processing. His research interests include pattern recognition, machine learning, computer vision and machine olfaction. He has authored more than 150 scientific papers in IEEE Trans. journals and top conferences. He serves as associate editors for several journals such as IEEE Transactions on Instrumentation and Measurement, Neural Networks, CAAI Transactions on Intelligence and Technology, etc. and also serves as area chairs and program committees for more than 20 conferences such as ACM MM, AAAI, CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS, IJCAI, etc.

Speech Title: "Transfer Learning for Odor Recognition Toward Olfactory Intelligence"

Abstract: Vision-language has been widely studied in AI community. However, machine olfaction is relatively paid less attention. In this talk, I will present our research progress toward olfactory intelligence. First, I will introduce the background, preliminary and challenges of machine olfaction techniques, then the problems of chemical sensors that hinders olfaction development in perception are formally proposed. After that, transfer learning will be comprehensively introduced from the concept, theory and algorithms. Finally, I will present how to solve the olfactory pattern analysis using transfer learning algorithms.

 

 

Previous KEYNOTE SPEAKERS

Prof. Yingxu Wang (FIEEE, FBCS, FI2CICC, FAAIA, and FWIF)
University of Calgary

Dr. Yingxu Wang is professor of cognitive systems, brain science, software science, and intelligent mathematics. He is the founding President of International Institute of Cognitive Informatics and Cognitive Computing (I2CICC). He is FIEEE, FBCS, FI2CICC, FAAIA, and FWIF. He has held visiting professor positions at Univ. of Oxford (1995, 2018-2023), Stanford Univ. (2008, 2016), UC Berkeley (2008), MIT (2012), and a distinguished visiting professor at Tsinghua Univ. (2019-2022) and an Academic Committee Member of the National Research Institute of Information Science and Technology (NRIIST) at Tsinghua University. He received a PhD in Computer Science from Nottingham Trent University, UK, in 1998 and has been a full professor since 1994. He is the founder and steering committee chair of IEEE Int’l Conference Series on Cognitive Informatics and Cognitive Computing (ICCI*CC) since 2002. He is founding Editor-in-Chiefs and Associate Editors of 10+ Int’l Journals and IEEE Transactions, particularly those of IEEE SMC-Letters (EiC) and FCS-Software (EIC). He is Chair of IEEE SMCS TC-BCS on Brain-inspired Cognitive Systems, and Co-Chair of IEEE CS TC-CLS on Computational Life Science. His basic research has spanned across contemporary scientific disciplines of intelligence, mathematics, knowledge, robotics, computer, information, brain, cognition, software, data, systems, cybernetics, neurology, and linguistics. He has published 680+ peer reviewed papers and 39+ books/proceedings. He has presented 70+ invited keynote speeches for international conferences. He has served as honorary, general, and program chairs for 42+ international conferences.

Prof. Jie Yang
Shanghai Jiao Tong University

Jie Yang received a bachelor’s degree in Automatic Control in Shanghai Jiao Tong University (SJTU), where a master’s degree in Pattern Recognition & Intelligent System was achieved three years later. In 1994, he received Ph.D. at Department of Computer Science, University of Hamburg, Germany. Now he is the Professor and Director of Institute of Image Processing and Pattern recognition in Shanghai Jiao Tong University. He is the principal investigator of more than 30 national and ministry scientific research projects in image processing, pattern recognition, data mining, and artificial intelligence. He has published six books, more than five hundreds of articles in national or international academic journals and conferences. Google citation over 17000, H-index 65. Up to now, he has supervised 5 postdoctoral, 46 doctors and 70 masters, awarded six research achievement prizes from ministry of Education, China and Shanghai municipality. Two Ph.D. dissertation he supervised was evaluated as “National Best Ph.D. Dissertation” in 2009 and in 2017. Two Ph.D. dissertations he supervised were evaluated as “Shanghai Best Ph.D. Dissertation” in 2009 and 2010. He has owned 48 patents.

Prof. Lap-Pui Chau (IEEE Fellow)
The Hong Kong Polytechnic University

Lap-Pui Chau received the Bachelor degree from Oxford Brookes University, and the Ph.D. degree from The Hong Kong Polytechnic University, in 1992 and 1997, respectively. He was with School of Electrical and Electronic Engineering, Nanyang Technological University from 1997 to 2022. He is currently a Professor in the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University. His research interests include visual signal processing, light-field imaging, computer vision, video analytics for intelligent transportation system, and human motion analysis. He is an IEEE Fellow. He was the chair of Technical Committee on Circuits & Systems for Communications of IEEE Circuits and Systems Society from 2010 to 2012. He was general chairs and program chairs for some international conferences. Besides, he served as associate editors for several IEEE journals and Distinguished Lecturer for IEEE BTS.

 

Prof. Shiguang Shan (IEEE Fellow)
Chinese Academy of Sciences

Prof. Shiguang Shan received Ph.D. degree in computer science from the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China, in 2004. He has been a full Professor of this institute since 2010 and now the deputy director of CAS Key Lab of Intelligent Information Processing. His research interests cover computer vision, pattern recognition, and machine learning. He has published more than 300 papers and received more than 28000/GS citations. He served as Area Chairs for many international conferences including CVPR, ICCV, AAAI, IJCAI, ACCV, ICPR, FG, etc. And he was/is Associate Editors of several journals including IEEE T-IP, Neurocomputing, CVIU, and PRL. He was a recipient of the China’s State Natural Science Award in 2015, and the China’s State S&T Progress Award in 2005 for his research work. He became an IEEE Fellow in 2021.

 

Prof. Ajay Kumar (IEEE Fellow and IAPR Fellow)
The Hong Kong Polytechnic University, China

Ajay Kumar received the Ph.D. degree from The University of Hong Kong in 2001. He was an Assistant Professor with the Department of Electrical Engineering, IIT Delhi, Delhi, India, from 2005 to 2007. He is currently working as a Professor with the Department of Computing, The Hong Kong Polytechnic University. His current research interests are on biometrics with an emphasis on hand biometrics, vascular biometrics, iris, and multimodal biometrics. He holds seven U.S. patents, and has authored on biometrics and computer vision based industrial inspection. He was on the Editorial Board of the IEEE Transactions on Information Forensics and Security from 2010 to 2013, and served on the program committees of several international conferences and workshops in the field of his research interest. He serves as an area chair for CVPR 2019, was the Program Chair for ICEB 2010 (Hong Kong), Program Co-Chair for the IJCB 2011 (Washington DC), ICB 2013 (Madrid), and CVPR 2013-2021 Biometrics Workshops. He has also served as the General Co-Chair of the IJCB 2014 (Tampa), ISBA 2015 (Hong Kong) and General Chair for WIFS 2018 recently held in Hong Kong. He serves on the Editorial Board of Journal of Pattern Recognition Letters and has served on the IEEE Biometrics Council as the Vice President (Publications) during 2011-2015. He is a Fellow of IAPR and IEEE.

 

Prof. Changsheng Xu (IEEE Fellow and IAPR Fellow)
Chinese Academy of Sciences, China

Changsheng Xu is a professor of Institute of Automation, Chinese Academy of Sciences. His research interests include multimedia content analysis/indexing/retrieval, pattern recognition and computer vision. He has hold 50 granted/pending patents and published over 400 refereed research papers including 100+ IEEE/ACM Trans. papers in these areas. Prof. Xu is Editor-in-Chief of Multimedia Systems. He serves/served Associate Editor of IEEE Trans. on Multimedia and ACM Trans. on Multimedia Computing, Communications and Applications. He received the Best Paper Awards of ACM Multimedia 2016 and 2016 ACM Trans. on Multimedia Computing, Communications and Applications. He served as Program Chair of ACM Multimedia 2009. He has served as associate editor, guest editor, general chair, program chair, area/track chair, special session organizer, session chair and TPC member for over 20 IEEE and ACM prestigious multimedia journals, conferences and workshops. He is an ACM Distinguished Scientist, IEEE Fellow, and IAPR Fellow.

 

Dr. Vadim Pisarevsky
Institute of Artificial Intelligence and Robotics for Society, China

Vadim Pisarevsky is software engineering manager at Intel Corp. Vadim has graduated from Nizhniy Novgorod State Univ in 1998 with MSc degree in math. He has been a chief architect and leader of OpenCV development team since the beginning of the project in 2000 at Intel. From 2008 till 2016 he has been a principal engineer at Itseez Inc., who have been doing computer vision projects for various customers all over the world using OpenCV, and who also played a big role in creating OpenVX standard. Since 2016 Vadim is back to Intel, keep working on OpenCV as the team lead. He is the co-author of several publications and patents.