Bio: Kun Yang received his PhD from the Department of Electronic & Electrical Engineering of University College London (UCL), UK. He is currently a Chair Professor in the School of Computer Science & Electronic Engineering, University of Essex, UK, leading the Network Convergence Laboratory (NCL). He is also an affiliated professor of UESTC. His main research interests include wireless networks and communications, future Internet and edge computing. In particular he is interested in energy aspects of future communication systems such as 6G, promoting energy self-sustainability via both energy efficiency (green communications and networking) and energy harvesting (wireless charging). He has managed research projects funded by UK EPSRC, EU FP7/H2020, and industries. He has published 400+ papers and filed 20 patents. He serves on the editorial boards of a number of IEEE journals (e.g., IEEE ComMag, TNSE, WCL, TVT). He is a Deputy Editor-in-Chief of IET Smart Cities Journal. He is a Distinguished Lecturer of IEEE ComSoc. He has been a Judge of GSMA GLOMO Award at World Mobile Congress – Barcelona since 2019. He is a Member of Academia Europaea (MAE), IEEE Fellow, IET Fellow, and an ACM Distinguished Scientist.
Speech Title: Unlocking
the Potential of Federated Learning: A Path towards Future Network
Abstract: Machine learning, particularly distributed learning, stands as the cornerstone in the vision of future network intelligence, owing to its remarkable capability of addressing intricate computational tasks and modeling complexities. In this talk, we provide a comprehensive coverage of a distributed learning paradigm rooted in federated learning. Specifically, we start with a brief overview of federated learning. Then, we elucidate an over-the-air computation-based variant of federated learning, which circumvents the communication bottleneck by harnessing the superposition properties of wireless channels. Notably, such a scheme presents new advantages, such as reduced processing latency and enhanced privacy protection. We also discuss several approaches to personalize the federated learning framework by addressing challenges stemming from data heterogeneity. Lastly, we share some of our recent works investigating the interplay between federated learning and foundation models.
Bio: Tony Q.S. Quek received the B.E. and M.E. degrees in Electrical and Electronics Engineering from Tokyo Institute of Technology, respectively. At Massachusetts Institute of Technology, he earned the Ph.D. in Electrical Engineering and Computer Science. Currently, he is the Cheng Tsang Man Chair Professor with Singapore University of Technology and Design (SUTD) and ST Engineering Distinguished Professor. He also serves as the Head of ISTD Pillar, Director for Future Communications R&D Programme, Sector Lead for SUTD AI Program, and the Deputy Director of SUTD-ZJU IDEA. His current research topics include wireless communications and networking, 6G, network intelligence, non-terrestrial networks, and open radio access network.
Dr. Quek has been actively involved in organizing and chairing sessions and has served as a TPC member in numerous international conferences. He is currently serving as an Area Editor for the IEEE Transactions on Wireless Communications. He was an Executive Editorial Committee Member of the IEEE Transactions on Wireless Communications, an Editor of the IEEE Transactions on Communications, and an Editor of the IEEE Wireless Communications Letters.
Dr. Quek received the 2008 Philip Yeo Prize for Outstanding Achievement in Research, the 2012 IEEE William R. Bennett Prize, the 2016 IEEE Signal Processing Society Young Author Best Paper Award, the 2017 CTTC Early Achievement Award, the 2017 IEEE ComSoc AP Outstanding Paper Award, the 2020 IEEE Communications Society Young Author Best Paper Award, the 2020 IEEE Stephen O. Rice Prize, the 2020 Nokia Visiting Professorship, the 2022 IEEE Signal Processing Society Best Paper Award, and the 2021-2023 World's Top 2% Scientists. He is a Fellow of IEEE and a Fellow of the Academy of Engineering Singapore.
Bio: Qingfu Zhang is Chair Professor of Computational Intelligence at the Department of Computer Science, City University of Hong Kong. His main research interests include evolutionary computation, optimization, neural networks, data analysis, and their applications. Professor Zhang is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the IEEE Transactions Cybernetics. MOEA/D, a multiobjective optimization algorithm developed by him and his students, is one of the two most used multiobjective optimization framework. He was awarded the 2010 IEEE Transactions on Evolutionary Computation Outstanding Paper Award. He has been in the list of SCI highly cited researchers for five consecutive years, from 2016 to 2020. He is an IEEE fellow.
Tang (S’10–M’13-SM’18) received the B.Eng. degree from South China
University of Technology, China, the M.Sc. degree from the University of
Bristol, UK, and the Ph.D. degree from Loughborough University, UK. From
2013 to 2015, he was a research associate at the School of Electrical
and Electronic Engineering, University of Manchester, UK. He is now a
professor at the School of Electronic and Information Engineering, South
China University of Technology, China.
His current research interests include SWIPT, UAV communications, NOMA, reconfigurable intelligent surface. He is currently serving as an Editor for IEEE WIRELESS COMMUNICATIONS LETTERS and IEEE SYSTEMS JOURNAL. He is the Guest Editor for IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING and IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY. He also served as a Track Co-Chair of IEEE VTC-Spring 2018, Symposium Co-Chair of IEEE/CIC ICCC 2020, IEEE ComComAp 2019, TPC Co-Chair of EAI GreeNets 2019, and Workshop Co-Chair of IEEE ICCC/CIC 2019. He is a co-recipient of the ICNC2018, CSPS2018, WCSP2019, 6GN2020 and AICON2021 Best Paper Awards. He is the current Vice Chair of the Special Interest Group on Green Cellular Networks within the IEEE ComSoc Green Communications and Computing Technical Committee.
Bio: Weidang Lu received the Ph.D. degree in Information and Communication Engineering from Harbin Institute of Technology in 2012. He was a visiting scholar with the Nanyang Technology University, Singapore, The Chinese University of Hong Kong, China and Southern University of Science and Technology, China. He is currently a Professor with the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. His current research interests include UAV communication, intelligent communication, secure communication and mobile edge computing. His works received several awards, including Zhejiang natural science award, Jiangxi natural science award, best paper awards of WiSATS 2019 and AICON 2021.
Bio: Kun QIAN received his doctoral degree (Dr.-Ing.) for his study on automatic general audio signal classification in 2018 in electrical engineering and information technology from Technische Universität München (TUM), Germany. From 2021, he has been appointed as a (Full) Professor with a title of “Teli Young Fellow” at the Beijing Institute of Technology, China. He is a Senior Member of the IEEE. He has a strong collaboration connection to prestigious universities in Germany, UK, Japan, Singapore, and the USA. Dr.Qian serves as an Associate Editor for the IEEE Transactions on Affective Computing, Frontiers in Digital Health, and BIO Integration. He (co-)authored more than 130 publications in peer reviewed journals, and conference proceedings having received more than 2.1k citations (h-index 27).
Bio: Jiagui Wu is a full Professor with the School of Physical Science and Technology, Southwest University and a visiting scholar in the University of California, Los Angeles, USA. He has authored or co-authored over 70 publications including about 50 journal papers. His research interests include information security, micro-nanophotonic, near-infrared, mid-infrared and far-infrared Technologies and Applications. Personal Web: http://physics.swu.edu.cn/info/1073/2999.htm
Bio: Jie Hu has been working with the School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), China, as an Associate Professor since March 2016. He has been elected into UESTC’s Fundamental Research Program for Young Scientists since 2018. He also won UESTC’s Academic Young Talent Award in 2019. His research now is mainly funded by National Natural Science Foundation of China (NSFC). He is also in great partnership with industry, such as Huawei and State Grid Corporation of China. He is an associate editor for both IEEE Wireless Communications Letters and IET Smart Cities. He served for IEEE/CIC China Communications and ZTE communications as a guest editor. He is now a member of IEEE Technical Committee on Green Communications and Computing (TCGCC). He is a program vice chair for IEEE TrustCom 2020. He also serves as a technical program committee (TPC) member for several prestigious IEEE conferences, such as IEEE Globecom/ICC/WCSP and etc. He has a broad range of interests in wireless communication and networking, such as physical layer technologies for B5G/6G, wireless information and power transfer and communication and computation convergence.
Bio: Associate Professor Yingdong Xiao, University of Electronic Science and Technology of China. The research direction is network testing and synchronization technology with computer technology as the core platform, high-speed data generation technology, and testing system integration technology (including integrated circuit testing, network equipment testing, etc.). As the person in charge or the main researcher, he has presided over and undertaken 1 Natural Science Foundation project and more than 10 provincial and ministerial research projects. Won the first prize of provincial and ministerial level scientific and technological progress. He has published more than 10 papers in important academic journals at home and abroad, and has been granted more than 10 national invention patents and 2 software copyrights. He is a reviewer for the internationally renowned academic journal "ISA Transaction". Personal Web: https://faculty.uestc.edu.cn/xiaoyindong/zh_CN/index.htm
Bio: Dr. Zhao is an associate professor in the School of Computer Science and Technology, Southwest University of Science and Technology, China. He received his Ph.D. degree in computer science from the University of Science and Technology of China (USTC) in 2012. And he was a visiting scientist (guest researcher) in 2011 at the Spoken Language Systems Laboratory, Saarland University, Germany. His main research interests include Statistical Natural Language Processing, Machine Learning, Information Extraction (IE) and Web Search. In recent years, he has published more than 70 papers in journals and conferences and compiled two academic monographs. He serves in several reviewer boards for several international conferences and journals. Dr. Zhao has served as the Chair of Text Analysis Forum on WAIM/APWEB'19, PC member of WAIM/APWEB’13, WAIM/APWEB’19. Dr. Zhao is a member of IEEE and ACM, a senior member of China Computer Society (CCF), a committee member of the CCF Database Society.
Speech Title: A Green
Base Station Dual Power Supply Strategy
Abstract: During the last decades, the electricity required for base stations has been a huge expense for communication operators. With the development of mobile communication technology, the intensive deployment of base stations has become a critical approach to meet the demand for high-speed data transmission. However, this will further increase operators' electricity bills. The issue of huge electricity bills has become a heavy burden for operators. The utilize of renewable energy is the key to solving this problem. Due to the instability of renewable energy sources, many power supply strategies have been proposed. Green hybrid energy dual power supply system has been recently proposed as most promising approach to address the disadvantages of renewable energy. Therefore, a solar-based dual power supply strategy is proposed to tackle the issue in this article. The strategy consists of the Grid-Connection Depth (GCD) model and the Battery Energy Sharing (BES) model. When renewable energy is insufficient, the GCD model is adopted to utilize as much renewable energy as possible. When renewable energy is abundant, the BES model is exploited to fully utilize the idle energy. Through the combination of the two models, the goal of maximizing the utilization of renewable energy at base stations can be achieved to reduce electricity bills for operators. Moreover, the both optimal energy transfer values are obtained through the optimization of two above models. The proposed strategy is numerically analyzed and compared with the other strategies. Finally, the proposed strategy is proved to be of high practical value.
Bio: Dr. Li is an associate professor in the School of Electronics and Electrical Engineering, Ningxia University, China. He received his Ph.D. degree in Information and Communication Engineering from Beijing University of Posts and Telecommunications (BUPT) in 2012. And he did Postdocal research from 2015 to 2017 at EEC, the University of Florida, USA. His main research interests include B5G/6G, Space-Air-Ground Integrated Network Architecture, Network Function Virtualization and Software Definition,Green Communication and Energy Efficiency,Integration of Communication and Energy networks,and Resource management for future communication. In recent years, he has published more than 30 papers in journals and conferences. He serves in several reviewer boards for several international conferences and journals. Dr. Li has served as the Chair of IEEE ICCT and ICCC.
Bio: Dandan Li received her Ph.D. degree from Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2017. She is currently an associate professor in School of Computer Science (National Pilot Software Engineering School) of BUPT. Her research interests is privacy and security issues in networking application, edge intelligence.
Bio: She received the B.E. degree in Telecommunication Engineering from Chongqing University of Posts and Telecommunications, China, and the Ph.D. degree in Information and Communications Engineering from Beijing University of Posts and Telecommunications, China. From 2009 to 2011, she was a Postdoctoral Research Fellow with the Department of Electronic Engineering, Tsinghua University, China. In 2015, she joined the faculty of the College of Information and Electrical Engineering, China Agricultural University. Her research interests include optical networks, optical wireless communications and visible light communication. She participated in a number of national projects and published more than 100 papers. She served as a TPC member of several international academic conferences and a reviewer for several international journals.
Speech Title: A Research on the Advanced 5G/6G Antenna-Taking the High-Capacity High-Gain Wide-Coverage Indoor Antenna and Moving Target Detection and Imaging Tracking System as an Example
Bio: Botao Feng (Senior Member, IEEE) was born in Guangdong, China, in 1980. He received the B.S. and M.S. degrees in communication engineering, and signal and information processing from the Chongqing University of Posts and Telecommunications (CQUPT), Chongqing, China, in 2004 and 2009, respectively, and the Ph.D. degree in communication and information system from the Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2015.
Dr. Feng joined Nokia Mobile Phones Ltd., Dongguan, China, as a Communication Engineer, in 2004. From 2009 to 2012, he served as a Senior Research Engineer and a Chief Executive in China United Network Communications Company Ltd., Guangzhou, China, where he won the Award of Breakout Star of the Year and the title of Technical Innovation Expert. Dr. Feng currently acts as the Head of the Shenzhen University Key Laboratory of Wireless Communication, Antennas and Propagation, which includes more than 50 research members and is a founding member of State Key Laboratory of Radio Frequency Heterogeneous Integration (Shenzhen University), and the President of Shenzhen Broad-Shine Technology Company Ltd., Shenzhen, China. He has authored or co-authored more than 160 science citation index (SCI) and engineering index (EI) articles and holds more than 80 technical patents. Since 2017, he has obtained the award of the Outstanding Instructor of the First Prize in the National Graduate Electronic Contest and the Tencent Outstanding Teacher Award. Recently, he has been selected as the consecutive winner of "Stanford University World's Top 2% Scientists".
Bio: Zhengqiang Wang received his Ph.D. degree in the Department of Electronic Engineering from Shanghai Jiao Tong University (SJTU) in 2015. He is currently an Associate Professor with the School of Communications and Information Engineering in Chongqing University of Posts and Telecommunications. He has been a Visiting Scholar with the Department of Electrical and Computer Engineering, National University of Singapore from September 2018 to September 2019. He has published a monograph and authored or co-authored over 80 papers in journals and international conferences in addition to 34 granted patents. He is a Senior Member of the IEEE. His current research interests include green communication, physical layer security, and network optimization for wireless communication.
Speech Title: Research on MEC System for Internet of Vehicles
Bio: Sanshan Sun (Member, IEEE) was born in Sichuan, China. Dr. Sun received the B.S. degree in electrical engineering and automation from Sichuan Normal University, Chengdu, China, in 2006, the M.S. degree in communication and information systems from Chongqing University of Posts and Telecommunications, Chongqing, China, in 2009, respectively, and the Ph.D degree in communication and information systems from the University of Electronic Science and Technology of China, Chengdu, China, in 2019. He is currently an associate professor with the College of Physics and Electronic Engineering in Sichuan Normal University, and engaged in postdoctoral research at the UESTC. His research interests include resource management, game theory, Internet of Vehicles, and UAV-aided communication networks. He has published more than 30 science citation index (SCI) and engineering index (EI) articles and served as the regular reviewer or technical committee member for many SCI journals and international conferences.