Prof. Ji Wei, Shandong University, China

Invited Speech: ISAC networks based Fiber and Photon-assisted Millimeter Wave Technology

Ji Wei received his M.S. degree in BeiJing Institute of Technology in 2003 and his Ph D degree in 2006 from Beijing University of Posts and Telecommunications. He is working as a professor in Shandong University. In 2012.9-2013.9, he worked as visiting scholar in Queen’s University Canada. His researching interests include: Artificial Intelligence, Data Center Networking, High speed optical switching and networking, Optical access networking.

Prof. Gao Yuan, Tsinghua University, China

Invited Speech: FUTuReneT: A Federated Ultra-Reliable Transformers-based Reconfigurable Twinning Network — From Theory to Practice

GAO Yuan received the B.S. degree in information engineering from PLA Information Engineering University in 2008 and Ph.D degree in communication engineering from Tsinghua University in 2014. He is now an full research fellow with UNIT 32005 and Tsinghua University. His research interests are wireless communication system, satellite communication system, network control theory and big data. Professor Gao is a member of IEEE and ACM; he is an associate editor for several international journals. He is also a guest editor of several special issues. Professor Gao also serves as guest reviewer and TPC member of several journals and international conferences, including IEEE JSAC, Trans. on Wireless Communication, Trans. on Communication, IEEE Communication Letter, ICC, WCNC, and so on, he has published more than 80 academic papers in peer-reviewed international journals and conferences.

Assoc. Prof. Bo Li, Ningxia University, China

Invited Speech: Multi-UAV Hybrid Charging and Swapping Strategy with Profit-Aware Multi-Agent Reinforcement Learning

Bo 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. He serves in several reviewer boards for several international conferences and journals. Dr. Li has served as the TCM and session chair of IEEE ICCT and ICCC.

Dr. Zongling Li, Beijing Institute of Spacecraft System Engineering, China

Invited Speech: The Technical Roadmap for Space-Based Computing Power Internet

LI Zongling, May 1985, PhD in Engineering, Beijing Institute of Spacecraft System Engineering Research Fellow, National Youth Talent, Off campus Doctoral Supervisor at Beihang University and Beijing Institute of Technology; Member/Director of China High tech Industrialization Research Association; Recipient of the Outstanding Youth Fund of the China Academy of Space Technology; Member of the Satellite Application Expert Group of the Science and Technology Committee of China Academy of Space Technology; The first "Youth Peak Talents" of Beijing Institute of Spacecraft System Engineering; Editorial board member of journals such as "China Scientific Data" and "Journal of Naval Aeronautical and Astronautical University"; Publish one monograph; Published 25 academic papers, including 21 as first author and 18 indexed by SCI/EI; Wrote 56 patents, including 26 as first author and 26 authorized; Won the first prize (1/5) in the Creative Competition of the 2nd Aerospace Engineering Conference, the Excellent School Enterprise Mentor Group (1/2) of the National Excellent Engineering College, and the Technology Innovation Award (1/1) of China Academy of Space Technology.

Assoc. Prof. Kefeng Guo, Nanjing University of Aeronautics and Astronautics, China

Kefeng Guo received the B.S. degree from Beijing Institute of Technology, Beijing, China, in 2012, and the Ph.D. degree from Army Engineering University, Nanjing, China, in 2018. He is currently an Associate Professor with the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics. He has authored or co-authored more than 100 research papers in international journals and conferences. His research interests focus on satellite communication, covert communication, multiple access techniques, cooperative relay networks, MIMO communications systems, multiuser communication systems, hardware impairments, cognitive radio, and physical layer security. He has been a TPC Member of many IEEE-sponsored conferences, such as IEEE ICC, IEEE GLOBECOM, and IEEE WCNC. He was a recipient of the Outstanding Ph.D. Thesis Award of Chinese Institute of Command and Control in 2020. He was a recipient of the Best Paper Award of WiSATS 2024 and NCIC 2024. He was also a recipient of the Excellent Ph.D. Thesis Award of Jiangsu Province, China, in 2020. He was listed in the World’s Top 2% Scientists identified by Stanford University from 2022 to 2025. He was a recipient of the 2025 Exemplary Editor of IEEE Open Journal of the Communications Society. He serves as an Editor on the Editorial Board for IEEE Wireless Communications Letters, IEEE Open Journal of the Communications Society, and EURASIP Journal on Wireless Communications and Networking. He was a recipient of an Exemplary Reviewer of IEEE Transactions on Communications in 2022.

Asst. Prof. Hao Qin, Sichuan University, China

Invited Speech: Toward Intelligent Radio Environments: Physics-Guided Learning for Wireless Communications

Dr. Hao Qin is an Assistant Professor with Sichuan University, China. He received the B.E. and M.S. degrees in Communication Engineering and Information and Communication Engineering from Harbin Institute of Technology, China, and the Ph.D. degree in Electrical and Electronic Engineering from University College Dublin (UCD), Ireland. His research interests include intelligent radio environments and autonomous wireless network optimization. Dr. Qin has authored more than 50 journal and conference publications, including papers in IEEE Transactions on Antennas and Propagation, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Microwave Theory and Techniques, and IEEE Antennas and Wireless Propagation Letters. His current research focuses on integrating physics-based electromagnetic modeling with artificial intelligence to enable efficient radio environment prediction, electromagnetic environment reconstruction, and intelligent wireless network design for next-generation communication systems. Dr. Qin is the recipient of the 2026 Photonics and Electromagnetics Research Symposium (PIERS) Young Scientist Award, the 2025 International Union of Radio Science (URSI) Young Scientist Award, the 2025 ACES-China Young Scientist Award Finalist, the 2023 Chinese Government Award for Outstanding Students Abroad, and the 2023 IEEE Antennas and Propagation Society Fellowship. He serves on several IEEE technical committees and is an active reviewer for leading journals including IEEE Transactions on Antennas and Propagation, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Communications, and IEEE Antennas and Wireless Propagation Letters. He has also organized multiple special sessions for international conferences including PIERS, IEEE IWS, ICCEM, and EIECT.

Dr. Lufeng Yuan, Beijing China-Power Information Technology Co., Ltd., China

Lufeng Yuan is a senior engineer at State Grid Corporation of China. He received his PhD degree of computer science from the Institute of Computing Technology, Chinese Academy of Sciences, Beijing in 2017. As a big data expert of State Grid Corporation of China, he works in power informatization and digitalization. He has published more than 10 papers and written 2 books. His research interests mainly focus on Big data, artificial intelligence and digital twins.

Assoc. Prof. Mansoor Khan, Qilu Institute of Technology, Jinan, China

Invited Speech: Fortifying Time-Series Forecasters Through Wavelet Decomposition and Expert Fusion

Assoc. Prof. Mansoor Khan, Ph.D. in Electrical Engineering and Automation from Sichuan University, currently serving as an Associate Professor at the School of Intelligent Manufacturing and Control Engineering. His main research interests include energy forecasting, artificial intelligence, renewable energy, and data acquisition. He has published more than 30 high-level papers, including in IEEE Transactions on Intelligent Transportation Systems (Impact Factor: 8.4), Energy Economics (Impact Factor: 14.2), Computers in Human Behavior (Impact Factor: 8.9), and IEEE Journal of Biomedical and Health Informatics (Impact Factor: 6.8). He was awarded the Shandong Provincial Natural Science Foundation grant for the project "Research on Wind Power Forecasting Technology Based on Motor Deformation Estimation and Voltage Assessment" (ZR2024QE390, 2025.01–2027.12). He is currently a member of the Shandong Artificial Intelligence Society, serves as a reviewer for multiple international journals and conferences, has been invited to give conference presentations on several occasions, and served as Conference Chair of the IEEE International Conference on Computer and Communications.

Assoc. Prof. Kun Xu, Information Support Force Engineering University, China

Kun Xu received the B.S. degree and Ph.D. Degree both in communication engineering from PLA University of Science and Technology, Nanjing, China, in 2007 and 2013, respectively. His Ph.D dissertation was awared as the excellent doctoral dissertation of Jiangsu Province in 2014. He is currently an associate professor with Information Support Force Engineering University, Wuhan, China. He received two Provincial and Ministerial Science and Technology Progress Awards (one first class and one second class) in 2019 and 2020, respectively, and hold more than twenty patents. His research interests include channel modeling, waveform design, and frequency prediction in high frequency communications.

Asst. Prof. Yuyu Zhao, Southeast University, China

Invited Speech: From DPI to Foundation Models: The Evolution of Encrypted Traffic Intelligence

Yuyu Zhao received his B.S. from Nanjing University of Science and Technology in 2016, and the M.S. and Ph.D. in cyber security from Southeast University in 2019 and 2023. He is a Assistant Professor at the School of Cyber Science and Engineering, Southeast University. His research focuses on in-band telemetry, blockchain, and network processors.

Dr. Yusi Zhang, National University of Defense Technology, China

YUSI ZHANG received the B.Sc. degree in communication engineering, the M.Eng. degree and Ph.D. degree in information and communication engineering from Harbin Institute of Technology, Harbin, China, in 2015, 2018 and 2023, respectively. From Sept. 2019 to Oct. 2020, Dr. Zhang visited Department of EDA, University of Kent, UK. She is currently a Lecturer with National Key Laboratory of Test & Evaluation for ElectroMagnetic Space Security, Luoyang, Henan, China, and is also with the Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China. Her research interests include transform domain communication, anti-jamming communication and anti-interception transmissions.

Dr. Huixu Luan, Northeast Electric Power University, China

Huixu Luan received the B.Eng. degree in communication engineering from Jilin University (JLU), Changchun, China, in 2016, and the Ph.D. degree in computer science and technology from Northwest University (NWU), Xi’an, China, in 2023. He is currently with the School of Electrical Engineering, Northeast Electric Power University, Jilin, China. His research interests include wireless and backscatter communications with a focus on space-time codes (STCs) and reconfigurable intelligent surface with a focus on STCs. He serves as a reviewer for journals like IEEE TWC, IEEE IoT and so on, and is also a 2025 IEEE ICCC TPC member.

Dr Suyu Lv, Beijing University of Technology, China

Suyu Lv received the Bachelor's degree and Ph.D. degree in information and communication engineering from Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2018 and 2024, respectively. From November 2022 to September 2023, she was a visiting student with the School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K. She is currently a Post-Doctoral Researcher at Beijing University of Technology (BJUT). Her main research interests include near-field communications, ultra-reliable low-latency communications, and intelligent communication systems.

Dr. Yuxin Shi, National University of Defense Technology, China

YUXIN SHI received the B.Sc. degree in communication engineering, the M.Eng. degree and the Ph.D. degree in information and communication engineering from the National University of Defense Technology (NUDT), Changsha, Hunan, China, in 2016, 2019 and 2023, respectively. He is currently a Lecturer with National Key Laboratory of Test & Evaluation for ElectroMagnetic Space Security, Luoyang, Henan, China, and is also with the Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China. His research interests include index modulation, anti-jamming communication and physical layer security.

Dr. Yangrui Dong, China Unicom, China

Dr. Yangrui Dong received the B.Eng. degree in communication engineering and the Ph.D. degree in computer science from Northwest University, Xi'an, China, in 2020 and 2025, respectively. He currently serves as an Algorithm Research Engineer and Technical Expert at the China Unicom Greater Bay Area Innovation Research Institute, Guangzhou, China. His research operates at the intersection of wireless communication and artificial intelligence, specializing in Integrated Sensing and Communication (ISAC), UAV communications, multi-modal sensor fusion, and low-altitude big data. Bridging academic research with industrial deployment, Dr. Dong is a key technical driver in the low-altitude economy sector. He leads the development of cutting-edge algorithms for high-precision low-altitude drone tracking, which have been successfully deployed on the China Unicom low-altitude supervision platform. Dr. Dong has published extensively in top-tier venues, including IEEE Transactions and ICASSP. He actively serves the academic community as a Founding Youth Editorial Board Member for the journal Advanced Air Mobility and Low-Altitude Infrastructure (AAM-LAI) and served as a Technical Program Committee (TPC) member for ICCC 2025. Furthermore, he acts as a regular peer reviewer for prestigious journals, including IEEE JSAC, IEEE Transactions on Wireless Communications (TWC) and IEEE Transactions on Vehicular Technology (TVT).

Dr. Yan Li, University of Nottingham Ningbo, China

Invited Speech: Analysis of Multimodal Intelligent Agent Systems Based on Industrial Knowledge Graph Engineering and Machine Learning Algorithms

Li Yan, IEEE senior member, joined the University of Nottingham Ningbo China in 2021. She has published nearly 20 papers as the first author in the fields of artificial intelligence and machine learning and has served as the principal investigator (PI) for two provincial and ministerial-level projects. Her research areas are named entity recognition in artificial intelligence and distributed neural network training. She serves as a peer reviewer and technical reviewer for several international academic journals and academic conferences, including the American Journal of Artificial Intelligence, IEEE CSAI, IEEE ICCC and so on. During her time at Zhejiang University, she participated in a national key R&D project and a national key laboratory project, developing a collaborative engine for complex industrial manufacturing systems.

Dr. Yong Sun, Beijing University of Posts Telecommunications, China

Yong Sun IEEE member, received Ph.D. degree from the Beijing University of Posts Telecommunications. He has published more than 50 papers on international journals and conferences. His current research interests include future networks, Cloud-edge collaborative distributed network, and AI algorithm.