| Max Q.-H. MengIEEE Fellow, Fellow of the Canadian Academy of EngineeringSouthern University of Science and Technology, ChinaProfessor Max Q.-H. Meng is elected to Fellow of the IEEE, Fellow of the Canadian Academy of Engineering, Fellow of the Hong Kong Institute of Engineering, Outstanding Talents in Guangdong Province, and Outstanding Talents in Shenzhen. Professor Max Q.-H. Meng is an international well-known scholar engaged in the research of medical robots, robot perception and intelligence. Many research projects of Prof. Meng are leading the world. He leads more than 60 scientific research projects from the National Natural Science Foundation of China, the Ministry of Science and Technology, the National 863 Program, the National Science and Engineering Research Council of Canada, the Hong Kong Research Grants Committee, and the Hong Kong Innovation and Technology Commission. He has published 168 journal papers, 491 conference papers, and 10 co-authored monographs. The papers have been cited over 10,000 times and the H-index is 54. 148 conference reports are invited. |
| Feifei GaoWinner of National Science Fund for Distinguished Young Scholars Tsinghua University, ChinaFeifei Gao received the B.Eng. degree from Xi’an Jiaotong University, Xi'an, China in 2002, the M.Sc. degree from McMaster University, Hamilton, ON, Canada in 2004, and the Ph.D. degree from National University of Singapore, Singapore in 2007. He was a Research Fellow with the Institute for Infocomm Research (I2R), A*STAR, Singapore in 2008 and an Assistant Professor with the School of Engineering and Science, Jacobs University, Bremen, Germany from 2009 to 2010. In 2011, he joined the Department of Automation, Tsinghua University, Beijing, China. Prof. Gao's research areas include communication theory, signal processing for communications, array signal processing, and artificial intelligence for communications. He has authored/ coauthored more than 180 refereed IEEE journal papers and more than 150 IEEE conference proceeding papers that have been cited over 9700 times in Google Scholar. Prof. Gao has served as an Editor of IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Cognitive Communications and Networking, IEEE Signal Processing Letters, IEEE Communications Letters, and IEEE Wireless Communications Letters. He has also served as the symposium co-chair for ICC’19, VTC’18, ICC’15, GLOBECOM’14, VTC’14, as well as Technical Committee Members for many other IEEE conferences. |
| Wei XuIET Fellow, Recipient of the National Natural Science Foundation of China for Outstanding Young ScholarsSoutheast University, ChinaDr. Wei Xu is currently a Professor at Southeast University. His research interests include information theory, signal processing, and machine learning for wireless communications. He received the Science and Technology Award for Young Scholars of the China Institute of Communications in 2018, the Science and Technology Award of the Chinese Institute of Electronics (Second Prize) in 2019, the National Natural Science Foundation of China for Outstanding Young Scholars in 2020, the IEEE Communications Society Heinrich Hertz Award in 2023, and the Best Paper Awards at IEEE ICC 2024, IEEE Globecom 2014, IEEE ICCC 2014, ISWCS 2018, and WCSP 2017, 2021. He served as an Editor for IEEE Transactions on Communications from 2018 to 2023, an Editor and Senior Editor for IEEE Communications Letters from 2015 to 2023. He is now serving as an Area Editor for IEEE Communications Letters and an Associate Editor for IEEE Transactions on Vehicular Technology. He is a Fellow of IET. Speaker Title:Integration of AI and Communication for 6G Abstract: This talk presents an overview on integration of the state-of-the-art artificial intelligent advances with physical-layer communication techniques in 6G. The talk starts with an application of disentangled representation learning for massive MIMO channel state information quantization and feedback by exploiting the disentanglement of dual-polarized channel states. Then extensive applications of the disentangled representation learning for bi-directional channel information feedback and for integrations of communication and sensing are discussed. |
| Jiayi ZhangCheung Kong Young Scholar Beijing Jiaotong University, ChinaJiayi Zhang received the B.Sc. and Ph.D. degree of Communication Engineering from Beijing Jiaotong University, China in 2007 and 2014, respectively. From 2012 to 2013, he was a visiting Ph.D. student at the Wireless Group, University of Southampton, United Kingdom. From 2014 to 2016, he was a Postdoctoral Research Associate with the Department of Electronic Engineering, Tsinghua University, China. From 2014 to 2015, he was also a Humboldt Research Fellow in Institute for Digital Communications, University of Erlangen-Nuermberg, Germany. Since 2016, he has been with the School of Electronic and Information Engineering, Beijing Jiaotong University, China, where he is now a full Professor. His current research interests include cell-free massive MIMO, reconfigurable intelligent surface, communication theory and applied mathematics. He was recognized as an exemplary reviewer of the IEEE COMMUNICATIONS LETTERS in 2015 and 2016. He was also recognized as an exemplary reviewer of the IEEE TRANSACTIONS ON COMMUNICATIONS in 2017-2019. He was the Lead Guest Editor of the special issue on “Multiple Antenna Technologies for Beyond 5G”of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS. He currently serves as an Associate Editor for IEEE TRANSACTIONS ON COMMUNICATIONS, IEEE COMMUNICATIONS LETTERS, IEEE ACCESS. |
