Prof. Jie Lu, University of Technology Sydney, Australia
IEEE Fellow, IFSA Fellow, Australian Laureate Fellow
Speech Title: Autonomous Machine Learning for Decision Support in Complex Environments
Biography: Distinguished Professor Jie Lu is a world-renowned scientist in the field of computational intelligence, primarily known for her work in fuzzy transfer learning, concept drift, recommender systems, and decision support systems. She is an IEEE Fellow, IFSA Fellow, and Australian Laureate Fellow. Prof Lu is the Director of the Australian Artificial Intelligence Institute (AAII) at University of Technology Sydney (UTS), Australia. She has published over 500 papers in leading journals and conferences; won 10 Australian Research Council (ARC) Discovery Projects as first chief investigator, and over 20 industry projects; and supervised 50 doctoral students to completion. Prof Lu serves as Editor-In-Chief for Knowledge-Based Systems and International Journal of Computational Intelligence Systems. She is a recognized keynote speaker, delivering over 40 keynote speeches at international conferences. She is the recipient of two IEEE Transactions on Fuzzy Systems Outstanding Paper Awards (2019 and 2022), NeurIPS2022 Outstanding Paper Award, Australia's Most Innovative Engineer Award (2019), Australasian Artificial Intelligence Distinguished Research Contribution Award (2022), and the Officer of the Order of Australia (AO) in the Australia Day 2023.
Prof. Huijun Gao, Harbin Institute of Technology, China
长江学者、国家杰青、IEEE Fellow
Speech Title: Robotic Micromanipulation for Biomedical Applications
Biography: Huijun Gao received the Ph.D. degree in control science and engineering from Harbin Institute of Technology, Harbin, China, in 2005. From 2005 to 2007, he carried out his postdoctoral research with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada. Since 2004, he has been with the Harbin Institute of Technology, where he is currently a Chair Professor, the Director of the Research Institute of Intelligent Control and Systems, and the Director of Interdisciplinary Research Center. His research interests include intelligent and robust control, robotics, mechatronics, and their engineering applications, etc.
Dr. Gao is a Vice President of IEEE Industrial Electronics Society, and a Council Member of IFAC. He serves as the Co-Editor-in-Chief for the IEEE Transactions on Industrial Electronics, a Senior Editor for the IEEE/ASME Transactions on Mechatronics, and an Associate Editor for Automatica, the IEEE Transactions on Cybernetics, and the IEEE Transactions on Industrial Informatics, etc. He is also a Distinguished Lecturer of IEEE Systems, Man, and Cybernetics Society.
Prof. Kaizhu Huang, Duke Kunshan University, USA
Speech Title: Data Augmentation Improves Model Generalization: Methods and Applications
Biography: Kaizhu Huang works on machine learning, neural information processing, and pattern recognition. He is currently a tenured Professor of ECE at Duke Kunshan University (DKU). Before joining DKU, he was a full professor at Xi’an Jiaotong-Liverpool University (XJTLU) and Associate Dean of research in School of Advanced Technology, XJTLU. He also founded Suzhou Municipal Key Laboratory of Cognitive Computation and Applied Technology. Prof. Huang obtained his PhD degree from Chinese University of Hong Kong (CUHK) in 2004. He worked in Fujitsu Research Centre, CUHK, University of Bristol, National Laboratory of Pattern Recognition, Chinese Academy of Sciences from 2004 to 2012. He was the recipient of 2011 Asia Pacific Neural Network Society Young Researcher Award. He received best paper or book award six times. He has published 9 books and over 210 international research papers (100+ international journals) e.g., in journals (JMLR, IEEE-TKDE, IEEE T-PAMI, IEEE T-NNLS, IEEE T-BME, IEEE T-Cybernetics) and conferences (NeurIPS, IJCAI, SIGIR, UAI, CIKM, ICDM, ICML, ECML, CVPR). He serves as associated editors/advisory board members in 6 international journals and book series. He was invited as keynote speaker in more than 30 international conferences or workshops.
Prof. Jianhuang Lai,Sun Yat-sen University, China
Speech Title: A Summary on Group Re-identification
Biography: Prof. Jianhuang Lai is director of Guangdong Provincial Key Laboratory of Information Security, Vice President of China Image and Graphics Society, President of Guangdong Image and Graphics Society, Outstanding member of China Computer Society, Deputy director of Computer Vision Committee of China Computer Society, Vice president of Guangdong Society of Artificial Intelligence and Robotics, director of Artificial Intelligence Committee of Guangdong Security Association.
He received B.S.、 M.S. and Ph.D. degree in 1986、1989、1999 respectively from Sun Yat-sen University, His main research areas are computer vision, pattern recognition, and machine learning. He has presided over the joint key projects of the National Natural Science Foundation of China and Guangdong, the science and technology support projects of the Ministry of Science and Technology, the National Natural Science Foundation of China, etc. Won the first prize of Natural Science of Science and Technology Award of Guangdong Province (ranked 1 in 2018), the second prize of Guangdong Science and Technology Award (2016, ranked 3), Ding Ying Award (2019), and enjoyed the government allowance of The State Council. He has published about 200 academic papers, mainly published in ICCV, CVPR, ICDM and other professional important academic conferences, as well as IEEE TPAMI, IEEE TIP, IEEE TNN, IEEE KDE, Pattern Recognition and other international authoritative journals.
Prof. Guihua Cui, Wenzhou University, China
Speech Title: An Improved Particle Swarm Optimization Algorithm Based on Cauchy Distribution and Its Applications in Spectral Reflectance Reconstruction
Biography: Prof. GUIHUA CUI received B.S. and M.S. degrees in Optical Engineering in 1984 and 1987 respectively from Beijing Institute of Technology (China), and Ph.D. degree in Color Science from University of Derby (UK) in 2000. His research interests include color-difference evaluation, uniform color space and color image processing. His main contributions to color science include fully involving in the development of CIEDE2000 color-difference formula, which is the current ISO standard color-difference formula for industry; in developing uniform color space DIN99o which is the current ISO standard uniform color space; and in developing digital imaging techniques for testing textile color fastness, which is the current ISO and China standard method for fastness grading. He is now working as a full professor in color science at Wenzhou University, China.