Prof. Chong-Yung Chi, National Tsing Hua University, China

IEEE Life Fellow, Editor-in-Chief of Information Sciences

Prof. Chong-Yung Chi received a B.S. degree from Tatung Institute of Technology, Taipei, Taiwan in 1975, a M.S. degree from National Taiwan University, Taipei, Taiwan in 1977, a Ph.D. degree from the University of Southern California, Los Angeles, CA, USA, in 1983, all in electrical engineering. He is currently a Professor at National Tsing Hua University, Hsinchu, Taiwan. He has published more than 240 technical papers (with citations more than 7500 times by Google-Scholar), including more than 90 journal papers (mostly in IEEE TRANSACTIONS ON SIGNAL PROCESSING), more than 140 peer-reviewed conference papers, 3 book chapters, and 2 books, including a textbook, Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications, CRC Press, 2017 (which has been popularly used in a series of invited intensive short courses at 10 top-ranking universities in Mainland China since 2010 before its publication). His current research interests include signal processing for wireless communications, convex analysis and optimization for blind source separation, biomedical and hyperspectral image analysis, graph-based learning and signal processing, and data security and privacy protection in machine learning. Dr. Chi received the 2018 IEEE Signal Processing Society Best Paper Award, entitled “Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization,” IEEE Transactionson on Signal Processing, vol. 62, no. 21, Nov. 2014. He has been a Technical Program Committee member for many IEEE-sponsored and cosponsored workshops, symposiums, and conferences on signal processing and wireless communications, including Co-Organizer and General Co-Chairman of the 2001 IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC). He was an Associate Editor (AE) for four IEEE Journals, including IEEE TRANSACTIONS ON SIGNAL PROCESSING for 9 years (5/2001-4/2006, 1/2012-12/2015), and he was a member of Signal Processing Theory and Methods Technical Committee (SPTM-TC) (2005-2010), a member of Signal Processing for Communications and Networking Technical Committee (SPCOM-TC) (2011-2016), and a member of Sensor Array and Multichannel Technical Committee (SAM-TC) (2013-2018), IEEE Signal Processing Society.

Research Area：Data security and privacy protection in machine learning, signal processing in wireless communication, convex analysis and optimization of blind source separation, graph-based learning and signal processing.

Prof. Jinghui Zhong, South China University of Technology, China

IEEE Senior Member

Professor of School of Computer Science and Engineering, South China University of Technology, doctoral supervisor, core member of the innovation team in key areas of the Ministry of Science and Technology, Guangdong Province high-level talent plan to introduce young top-notch talents. In recent years, he has published more than 100 academic papers in international authoritative journals and conferences such as IEEE TEVC, IEEE Tcyb, IEEE CIM and ACM TOMACS. He has presided over many national scientific research projects, provincial scientific research projects, industrialization projects and production-education integration collaborative education projects, and has won the first prize of natural science of the Ministry of Education. He is currently a member of the editorial board of the international journal ' Memetic Computing ' ( JCR First District Journal ), an IEEE senior member, a CCF senior member, a member of the Collaborative Computing Special Committee and an IntelligentOptimization and Scheduling Special Committee.

Research Area：Evolutionary computation, machine learning, multi-agent modeling and simulation.

Prof. Jinsong Wu, Guilin University Of Electronic Technology, China

Dr. Wu Jinsong's recent research interests include machine learning, big data, green information technology, computer vision, natural language processing, the Internet of Things, and edge computing. Currently cited by Google Scholar search: 8241 times, h-index： 47. Selected as one of the top 2% global research scholars for two consecutive years in 2021 and 2022. Twice selected for the High end Foreign Expert Introduction Program of the Ministry of Science and Technology of the People's Republic of China in 2020 and 2022. In 2020, he was selected as a third level high-level talent in Guilin City. In 2021, he was selected as a pioneer teacher in Huawei Cloud and Computing. In 2022, he was awarded the title of "Pillar Teacher" by the Ministry of Education and Huawei Intelligent Base.

Research Area：machine learning, green information technology, computer vision, natural language processing, Internet of Things, edge computing, etc.

Prof. Mouquan Shen, Nanjing Tech University, China

Professor, the "Six Talent Peaks" of Jiangsu Province. Postdoctoral at Southeast University, visiting scholar at overseas universities such as the University of Hong Kong, Yeungnam University, South Korea, and the University of Adelaide, Australia. He is the PI of  more than 10 provincial-level projects, including the National Natural Science Foundation of China, the National Bureau of Foreign Experts Affairs, and the Jiangsu Provincial Natural Science Foundation. In recent years, more than 100 papers with an H-index of 24 have been published in journals such as IEEE · Transactionson · Automatic Control, IEEE Transactionson · Cybernetics, and IEEE Transactions on Systems, Man, and Cybernetics: Systems. He has been severed as Editor-in-Cheif, Associate Editor, or Editorial Board Member of 12 international journals. He is also an active reviewer of over 80 domestic and international journals, including IEEE · TAC and Automatica, as well as the corresponding reviewer for the National Natural Science Foundation of China and multiple provincial and municipal science and technology projects.