Prof. Yanli Xu
Associate Dean at the School of Information Engineering
Shanghai Maritime University, China

Bio: Yanli Xu, a professor and associate Dean at the School of Information Engineering, Shanghai Maritime University. She graduated from Southeast University in 2012 with a Information and Communication Engineering Ph. D. degree. Her current research interests focused on integrated space-air-ground-sea communication technology and edge computing. These technologies provide high reliability and low delay information transmission for Marine development, environment monitoring, shipping and marine security. Dr. Xu has published over 40 top-quality academic papers, and she has served as guest editor or TPC chair for well-known journals and conferences in the field. She has also been honored as Special Expert for Talent Work in Liaoning Province and the Pearl Plan of Shanghai Pudong New Area.

 

Prof. Kun Guo
East China Normal University, China

Bio: Kun Guo currently is a Professor with the School of Communications and Electronics Engineering at East China Normal University, Shanghai, China. She received the B.E. degree in Telecommunications Engineering from Xidian University, Xi'an, China, in 2012, where she received the Ph.D. degree in communication and information systems in 2019. From 2019 to 2021, she was a Post-Doctoral Research Fellow with the Singapore University of Technology and Design (SUTD), Singapore. Her research interests include wireless edge computing and intelligence.

 

Prof. Zhaozhong Guo
Beijing Information Science and Technology University, China

Speech Title: The Data Security Trilemma in the Context of Artificial Intelligence

Abstract: In recent years, next-generation artificial intelligence technologies, represented by large models (such as GPT, DeepSeek, etc.), have experienced explosive growth. Their applications have rapidly expanded from initial text processing to critical sectors of the national economy, including medical diagnosis, financial risk control, smart manufacturing, and smart cities. However, while this technological proliferation enhances social productivity, it also brings unprecedented data security challenges, such as privacy leakage risks during data circulation and issues of data misuse. This report introduces the new data security challenges in the context of AI and summarizes them as the "Data Security Trilemma." It then explores potential solutions by integrating technologies such as blockchain, homomorphic encryption, and federated learning. The goal is to achieve distributed, federated data usability, providing secure and reliable technical support for the high-quality development of the digital economy.

Bio: Guo Zhaozhong holds a dual bachelor's degree in Science and Economics from Peking University, a Ph.D. in Applied Mathematics, and is a Boya Postdoctoral Fellow and Senior Engineer. He has been selected for a provincial-level youth talent program and currently serves as a professor and master's supervisor at Beijing Information Science and Technology University, as well as a specially appointed researcher at the Ministry of Education's Key Laboratory of Blockchain. With extensive expertise in cryptography, blockchain, and privacy computing, he excels in cryptographic security protocols and blockchain architecture design. He has published over 10 SCI/EI-indexed papers and filed more than 20 patent applications, with 12 granted. In cryptography, his identity-based hierarchical encryption mechanism (IBE) won second prize in a military cryptographic algorithm competition. In blockchain, as project leader, he has overseen the military's "Huiyan Action" achievement transformation and application project and an open research project from the Yunnan Provincial Key Laboratory of Blockchain Application Technology. He has also participated as a key researcher in multiple national key R&D projects on blockchain and pre-research projects on blockchain for the Central Military Commission's Equipment Development Department. The consensus mechanism he designed, Baguena, was included in the China Blockchain Blue Book.

 

Assoc. Prof. Bingchen Zhu
Southeast University, China

Speech Title: Design and Implementation of Low-Cost High-Performance Wireless Optical Positioning Systems

Abstract: Wireless optical positioning based on photodiodes offers advantages of low latency, small size, and low power consumption. However, this positioning system also has drawbacks such as difficult beacon deployment, insufficient accuracy, and cumbersome hardware and software design. This report will discuss the above issues. For the problem of difficult deployment, a scheme capable of simultaneously building a beacon database and positioning users is introduced, and its positioning error analysis method is briefly described. For the issue of insufficient accuracy, it is demonstrated that the main source of error lies in the distortion of the Lambert model rather than additive noise, and a more flexible light radiation model is proposed. For the challenge of hardware and software design, an ultra-simple hardware and software architecture is introduced to avoid high-speed digital-to-analog/analog-to-digital converters. Based on this architecture, an optical positioning system based on ESP32 or FPGA is presented, which can achieve centimeter-level accuracy and a positioning rate exceeding 8ksps. The high-speed and high-precision optical positioning system is expected to boost industries such as autonomous driving, low-altitude economy, and industrial Internet of Things, and will lay the foundation for laser mobile communications.

Bio: Bingcheng Zhu, Associate Professor at Southeast University, IEEE Senior Member, recipient of Young Elite Scientists Sponsorship Program by CAST, Zijin Young Scholar. He has published 32 papers in IEEE journals and Nature journals as the first author or corresponding author. He is the principal investigator of the National Key Research and Development Program and Natural Science Foundation of China. He served as the Guest Editor of the Journal of Electronics & Information Technology for the special issue “Visible Light Communications Towards 6G”, and the Guest Editor of Electronics in the special issue “Wireless Optical Communication, Positioning, Sensing for 6G and Beyond”.

 

Assoc. Prof. Xingyu Lu (Personal Page)
Nanjing University of Science and Technology, China

Bio: Xingyu Lu is an associate professor at the School of Electronics and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China. He received the B.S. degree and Ph.D degree from NJUST, in 2014 and 2019, respectively. In 2018, he was a visiting student with the Department of Electrical and Computer Engineering, National University of Singapore.
His research program focuses on radar signal processing and image processing. His research work has been well funded by the National Natural Science Foundation of China, China Postdoctoral Science Foundation, China Aerospace Science and Industry Foundation, China Electronics Technology Group Corporation, and several other projects. He has authored/co-authored several books, over 10 patents, and over 30 technical papers in refereed journals and peer-reviewed conference proceedings, such as IEEE Transactions on Signal Processing, IEEE Transactions on Geoscience and Remote Sensing, etc. He was awarded the "Top Cited Article 2021-2022" by Wiley in 2022.

 

Assoc. Prof. Simeng Feng (Personal Page)
Nanjing University of Aeronautics and Astronautics, China

Bio: Simeng Feng, received the BSc degree in electronic information science and technology from the Ocean University of China, and received the master’s and PhD degrees in wireless communications from the University of Southampton, UK in 2015 and 2019, respectively. She is currently an associated professor with the key laboratory of dynamic cognitive system of electromagnetic spectrum space, ministry of industry and information technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China. Her main research interests include UAV communication networks and optical wireless communications. She has led and participated in more than ten projects, including those funded by the National Natural Science Foundation of China, KJW Innovation Zone projects, Jiangsu Provincial Key R&D projects, and Jiangsu Provincial Frontier Leading Fundamental Research Projects. She has published over 20 papers in related fields, and her research achievements have been recognized with the IET Global Innovation Award and the IoTCIT2023 Best Paper Award. She serves as IEEE Member, a senior member of the Chinese Institute of Communications (CIC), a member of the Chinese Institute of Electronics (CIE), a member of the Youth Committee of the Communication Branch of the CIE, and a deputy director of the Digital Low-Altitude Special Committee.

 

Assoc. Prof. Xiaojun Hei (Personal Page)
Huazhong University of Science and Technology, China

Bio: Xiaojun received the B.Eng degrees in Information Engineering from Huazhong University of Science and Technology, Wuhan, P.R. China. He also obtained his MPhil. Degree in Electrical and Electronic Engineering from the Hong Kong University of Science and Technology. Then, he received his Ph.D. degree in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology. Starting from October 2008 till now, he has joined the School of Electronic Information and Communications, Huazhong University of Science and Technology, P.R. China. He is now an associate professor in the School of Electronic Information and Communications, Huazhong University of Science and Technology. Between September 2005 and September 2007, he worked on P2P networking in the Department of Computer and Information Science, Polytechnic University. He is co-author (with Yong Liu and Keith W. Ross) of the best paper in multimedia communications for 2008 by the Multimedia Communications Technical Committee of the IEEE Communications Society. He has been an internationally certified ISW facilitator since Jan. 2021. His current research interests include Artificial Intelligence Enabled Networking, Intelligent Healthcare, Robotic Applications.

 

Associate Researcher Jiao Zhang
Purple Mountain Laboratories, China

Bio: Jiao Zhang currently is an associate researcher and assistant director of the Pervasive Communication Research Center, Purple Mountain Laboratories. He received the Ph.D. degree from the Fudan University, Shanghai, China, in 2020. From 2021 to 2023, he was a Post-Doctoral Research Fellow at Southeast University and Purple Mountain Laboratories, China. He focuses on photonics-aided millimeter wave/terahertz communication for 5G-A/6G networks, broadband optical fiber access, and high-speed optical fiber communication. Dr. Zhang has spearheaded over 10 significant research initiatives, including projects under the National Key R&D Program, National Natural Science Foundation Youth Project, and China Postdoctoral Science Foundation. He has authored and co-authored more than 200 peer-reviewed journal and conference papers in IEEE/OPTICA flagship journals and international conferences, and published 1 academic monograph. His research achievements have been highlighted in China's 2021 Top 10 Scientific Advances in Information Communication, awarded the 2022 Geneva International Exhibition of Inventions Gold Medal, and honored with the 2023 China Invention Association Innovation Award First Prize. Dr. Zhang has been honored with prestigious recognitions including the Jiangsu Provincial "333 High-Level Talent Cultivation Project" award, "National Microwave Photonics Academic Rising Star," membership in the 28th "China Youth May Fourth Medal Collective," and "2025 6G Rising Sta"' Young Scholar.

 

Assoc. Prof. Han Wu
Sichuan University, China

Speech Title: Mid-infrared Temporal Ghost Imaging and Data Encryption

Abstract: Ghost imaging in the time domain allows for reconstructing fast temporal objects using a slow photodetector. The technique involves correlating random or pre-programmed probing temporal intensity patterns with the integrated signal measured after modulation by the temporal object. However, the implementation of temporal ghost imaging necessitates ultrafast detectors or modulators for measuring or pre-programming the probing intensity patterns, which are not available in all spectral regions especially in the mid-infrared region. Here, we report a frequency downconversion temporal ghost imaging scheme that enables us to realize computational temporal ghost imaging in the mid-infrared. The approach modulates a signal with temporal intensity patterns in the near-infrared fiber laser and transfers the patterns to an idler via difference-frequency generation in a nonlinear crystal at a wavelength where the temporal object can be retrieved. As a proof-of-concept, we demonstrate computational temporal ghost imaging in the mid-infrared with operating wavelength that can be tuned from 3.2 to 4.3 μm. We further demonstrate mid-infrared data encryption and transmission over a 3 m free space link at a speed more than 60 times higher than MIR detector bandwidth based on the frequency downconversion computational temporal ghost imaging.

Bio: Han Wu received the PhD degree from the Key Lab of Optical Fiber Sensing & Communications (Education Ministry of China), University of Electronic Science & Technology of China, Chengdu, China. He was with Tampere University, Finland, as a joint-training PhD student from 2018 to 2019. He is now an associate professor at Sichuan University. He has authored or co-authored over 70 papers in international journals, including Nature Communications, Light: Science and Applications, Optica and Laser Photonics Reviews, and his research was highlighted in Optics in 2014 by OSA Optics and Photonics News. He won the SPIE Optics and photonics education scholarship and Young Scientist Award in Advanced Fiber Laser Conference. Dr Wu’s current research interests include random fiber lasers, mid-infrared lasers and ghost imaging.

 

Assoc. Prof. Tianming Ma
Shanghai University of Engineering Science, China

Bio: Tianming (Tian-Ming) Ma received Ph.D. degree from Shanghai institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai, China in 2012. He was a post-doctoral researcher and obtained the first-class general financial grant from the China Postdoctoral Science Foundation in Tsinghua University, Beijing, China from 2012 to 2014. Now he is an associate professor in the School of Electronic & Electrical Engineering (SEEE), Shanghai University of Engineering Science (SUES), Shanghai, China and serve as the leader of the intelligent wireless perception research team in SEEE. He has authored/co-authored over 50 journal/conference papers and held 10 Chinese authorized invention patents as the first inventor or as a mentor for graduate students, of which 3 have already achieved technology transfer. He is a member of IEEE ComSoc & IEEE SPS, a senior member of CIC, a senior member & life member of CIE, a life member of SCS, a council member of SHIE, and the main contact person of RIS TECH Alliance (RISTA) member units. He has served as an OC member/TPC member/Track Chair/Workshop Chair/Session Chair/Special Session Chair/Publicity Chair/Moderator/Invited Speaker of many international conferences and received Outstanding Organization Award. He has also served as an official reviewer for many domestic and international journals in the field of communications, such as IEEE TWC, IEEE TVT, IEEE CNCOMM, IEEE CL, IEEE SPL, CJE, JC, JEIT, JSEE, JCIN, JCUPT, JXD, etc. His current interests include 6G multiple access technologies & waveform technologies.

 

Assoc. Prof. Fanfan Shen
Nanjing Audit University, China

Bio: Fanfan Shen is an associate professor at the School of Computer Science, Nanjing Audit University. He graduated from Wuhan University in 2017 with a Computer Software and Theory Ph. D. degree. His current research interests focused on Edge intelligence, Artificial Intelligence for System and Storage System. He is a senior member of the China Computer Federation (CCF). He has published over 20 technical papers and provided peer review services for high-level publications such as ICML and ACM MM.

 

Associate Researcher Shuai Ma
Peng Cheng Laboratory, China

Bio: Shuai Ma received the B.S. and Ph.D. degrees in communication and information systems from Xidian University, Xi'an, China, in 2009 and 2016, respectively. From 2014 to 2015, he was a Visiting Scholar with the Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA. From 2016 to 2019, he has been an associate Professor with the School of Information and Control Engineering, at the China University of Mining and Technology, Xuzhou, China. From 2019 to 2022, he worked as a Postdoctoral Fellow with Telecom Paris, France. Since 2023, he has been an Associate Researcher at Peng Cheng Laboratory, Shenzhen, China. His research interests include semantic communications, visible light communications, and network information theory.

Assoc. Prof. Chuanting Zhang (Personal Page)
Shandong University, China

Speech Title: LLM-Based Wireless Traffic Prediction for Intelligent Future Networks

Abstract: As wireless networks evolve toward 6G, managing rapidly growing and highly dynamic traffic becomes increasingly critical. Accurate traffic prediction is crucial for enabling intelligent network operations, including proactive resource allocation, energy-efficient scheduling, and real-time optimization. This talk highlights the significance of applying large models to wireless traffic prediction and their potential to transform network intelligence. By leveraging their strong representation abilities, these models can drive the transition from reactive to proactive network management. Ultimately, large model-based prediction will play a central role in building autonomous, adaptive, and intelligent communication systems for the next generation of wireless networks.

Bio: Chuanting Zhang is an associate professor at Shandong University, Jinan, China. He previously worked as a senior postdoctoral researcher at the University of Bristol and a postdoctoral researcher at King Abdullah University of Science and Technology (KAUST). His research interests encompass spatiotemporal data mining and intelligent networks. He has led several projects, including those funded by national talent programs, the National Natural Science Foundation of China, and the Shandong Province Excellent Youth Science Fund Project. He has proposed a series of wireless traffic prediction algorithms, with publications in top-tier journals and conferences, including IEEE JSAC and IEEE INFOCOM. His research achievements have been recognized with awards such as the IEEE ICCT Young Scientist Award, the Shandong Province Excellent Doctoral Dissertation Award, the Excellent Doctoral Dissertation Award of the Shandong Artificial Intelligence Society, and the Best Paper Award at IEEE SmartData. He is a Senior Member of IEEE, a Member of ACM, and a committee member of the CCF Technical Committee on Network and Data Communications.

 

Research Assoc. Prof. Chen Huang
Purple Mountain Laboratories & Southeast University, China

Bio: Research Associate Professor at Purple Mountain Laborator, Chair of the AI Channel Modeling Group of IEEE P1499 Standards Committee, Selected Member of the Youth Talent Support Program of China Association for Science and Technology, "333" High-Level Talent of Jiangsu Province. He has presided over more than 10 scientific research projects, including key projects of the National Key R&D Program, key projects of the National Natural Science Foundation of China (NSFC), NSFC Young Scientists Fund, and key frontier projects of Jiangsu Province. He has published more than 60 SCI/EI indexed papers (35 as first or corresponding author), authorized 8 patents, and submitted 12 6G standard proposals. He has won 5 "Best Paper Awards" at international conferences such as IEEE ICC, WCSP, and ICCC. He serves as an editor for journals including IEEE Transactions on Vehicular Technology, Frontiers in Communications and Networks, and Frontiers in Signal Processing.

 

Assoc. Prof. Ruoyu Zhang
Nanjing University of Science and Technology, China

Bio: Ruoyu Zhang received the B.E. and Ph.D. degrees in information and communication engineering from Harbin Institute of Technology, Harbin, China, in 2014 and 2019, respectively. From 2017 to 2018, he was a visiting student with the Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada. He is currently an Associate Professor with the School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China. His research interests include integrated sensing and communication, massive MIMO, millimeter-wave communications, and sparse signal processing. He has led and participated the National Natural Science Foundation of China, the Natural Science Foundation of Jiangsu Province, the KJW Innovation Zone projects, and several other projects. He has published over 30 papers in related fields, including 4 ESI Hot Papers and 4 ESI Highly Cited Papers.

He has served as a reviewer for journals such as IEEE TWC, IEEE TCOM, IEEE TSP, IEEE JSAC, IEEE JSTSP, IEEE WCM, etc.

He is a member of IEEE, a member of IEEE ComSoc & IEEE SPS, a member of The Chinese Institute of Electronics.

 

Assoc. Prof. Jihao Fan
Nanjing University of Science and Technology, China

Bio: Jihao Fan received the B.S. degree in mathematics and applied mathematics from Lanzhou University, Lanzhou, China, in 2009, and the Ph.D. degree in computer software and theory from Southeast University, Nanjing, China, in 2016. He was a joint-training Ph.D student at Sydney University, Australia from 2014 to 2015 supervised by Prof. Yonghui Li. He is currently an Associate Professor with the Nanjing University of Science and Technology, Nanjing. He has published more than 20 articles in several high-level international journals and conferences, such as Proceedings of the National Academy of Sciences of the United States of America (PNAS), IEEE Transactions on Information Theory (TIT), IEEE Transactions on Communications (TCOM), IEEE International Symposium in Information Theory (ISIT), IEEE International Conference on Communications (ICC), IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), and so on. He received the third-level support of the “333” program of Jiangsu Province. His research interests include classical and quantum coding theory, information theory, and code based masking.

 

Assoc. Prof. Xiangping Zhai
Nanjing University of Aeronautics and Astronautics, China

Speech Title: Opportunities and Challenges of Smart Cooperation in Internet of Intelligent Things with Drones

Abstract: With the advent of the era of “intelligent connectivity of all things” in the Fourth Industrial Revolution, drones and flying cars, as new members of the Internet of Intelligent Things, have brought new challenges to traditional wireless networks due to their highly dynamic characteristics. Most multi-rotor drones are equipped with extremely limited on-board resources. Therefore, it is necessary to study how to effectively and intelligently collaborate to complete complex tasks. Existing research faces numerous challenges, including the difficulty of real-time trajectory optimization under resource constraints, low efficiency in collaborative management of multi-dimensional resources in dynamic environments, and the complexity of autonomous intelligent decision-making in edge networks. Consequently, to achieve more stable, efficient, and intelligent low-altitude intelligent network services, opportunities arise for researching key technologies, which will further facilitate the development of the low-altitude economy—a strategic emerging industry propelled by new quality productive forces.

Bio: Dr. Xiangping Bryce Zhai is currently an Associate Professor at Nanjing University of Aeronautics and Astronautics, China. He received his PhD from City University of Hong Kong in 2013. His research interests include the Internet of Intelligent Things, edge computing, resource optimization, communication networks, and smart cooperation. He has published over 60 relevant papers in international journals such as JSAC, TON, TMC, TCOM, and TWC. He has received several awards, including the Second Prize for Young Science and Technology from the Jiangsu Association for Information Technology Applications, the China’s Top 100 Most Influential International Academic Papers Award, and Outstanding Teacher Award for Computer Science Majors in Colleges and Universities by the Ministry of Education. Meanwhile, he has participated in many national and Jiangsu provincial key R&D plans, National Natural Science Foundation, Civil Aviation Administration of China, and other projects.

 

Assoc. Prof. Mingjie Shao
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China

Bio: Mingjie Shao received a bachelor’s degree from Xidian University, China, in 2015, as part of the “Excellent Engineer Education Program.” In 2020, he earned a Ph.D. in Electronic Engineering from the Chinese University of Hong Kong, supported by the “Hong Kong PhD Fellowship Scheme (HKPFS)” under the supervision of Prof. Wing‑Kin Ma (IEEE Fellow). From 2020 to 2023, he worked as a postdoctoral researcher in the Department of Electronic Engineering at the Chinese University of Hong Kong. He was then a Professor, awarded “Qilu Young Scholar”, in the School of Information Science and Engineering at Shandong University during 2023‑2024. Currently, he is an Associate Professor in the State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences (CAS), and has been awarded the “Chen Jingrun Future Star.”

His main research interests include: 1) Signal processing for wireless communication; 2) Optimization and statistical methods in signal processing and machine learning; 3) Cross‑disciplinary research in deep learning and signal processing. In recent years, he has published over 40 SCI/EI papers in top journals and conferences such as IEEE TSP、IEEE JSTSP、IEEE TIFS and IEEE ICASSP. Several of his papers have been recognized multiple times in the “Top 50 Popular Articles” list of IEEE journals.

 

Assoc. Prof. Bingpeng Zhou
Sun Yat-sen University, China

Speech Title: How wireless localization gains from wireless communication

Abstract: With the rapid evolution of wireless communications, a multitude of location-based intelligent applications such as internet-of-vehicles and autonomous driving will come into reality, which do not only require high data-rate transmission, but also need high-accuracy wireless positioning. Yet, conventional localization and communication are independently developing ever, and hence the simple brute-force combination of wireless communication and conventional sensing methods cannot satisfy the strict requirements of new applications. The next-generation wireless network is featured with rich available spectrum resource and massive antenna array, thus paving the way for the integration of sensing and communication (ISAC). In this talk, we shall summarize the recent research work of our group on robust sensing against NLOS interference and anti-jamming-oriented beamforming of ISAC systems, especially on the key ideas of how “wireless positioning” gains from “wireless communication” for addressing random fading, multipath interference and Doppler effect. This will build a solid technical foundation for breaking performance constraints of wireless localization in complex environments.

Bio: Bingpeng Zhou is currently an Associate Professor with the School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China. He received the Ph.D. degree from the Southwest Jiaotong University, Chengdu, China, in 2016. He was a Postdoctoral Fellow with the Hong Kong University of Science and Technology, Hong Kong, from 2016 to 2019. He was a Postdoctoral Researcher with Aalto University, Espoo, Finland, from 2019 to 2020. He was a Visiting Ph.D. Student with the 5G Innovation Centre, University of Surrey, Guildford, U.K., in 2015. He was selected for Major Talent Program of Guangdong Province for Distinguished Youth. His research interests include visible light-based positioning, integrated communication and sensing, Bayesian signal processing, and next-generation wireless network.

 

 

Lecturer Jiachi Zhang
Shandong Police College, China

Bio: Dr. Jiachi Zhang received the B.Sc., M.Eng., and Ph.D. degrees in Communication Engineering and Communication and Information System from Beijing Jiaotong University (BJTU), Beijing, China, in 2013, 2016, and 2023, respectively. He is currently a Lecturer in the School of Police Information at Shandong Police College (SDPC), where he teaches courses of cybersecurity and law enforcement.

As the first author, he has published over 30 papers in journals and conference proceedings, including IEEE Transactions on Antennas and Propagation, IEEE Transactions on Vehicular Technology, IEEE International Conference on Communications, etc. He also holds 9 granted invention patents of China (as an inventor or co-inventor). His current research interests include mobile communications, channel measurement and modeling, satellite communications, vehicular communications, high-speed railway communications, signal processing, and wireless network security.

 

Dr. Yanqing Xu
The Chinese University of Hong Kong, Shenzhen, China

Speech Title: Pinching-Antenna Systems: A New Paradigm of Flexible Antennas for Next-Generation Wireless Networks

Abstract: Pinching-antenna systems offer a novel and transformative paradigm for the design of flexible, high-performance wireless networks. By enabling the dynamic placement of antennas along dielectric waveguides, this technology provides substantial advantages in establishing line-of-sight links, enhancing channel reconfigurability, and enabling efficient spatial resource management compared to conventional antenna architectures. In this talk, we present a systematic introduction to pinching-antenna systems. We begin by detailing the fundamental principles of signal propagation and channel modeling unique to pinching-antenna systems. Next, we discuss representative system architectures and design methodologies, illustrating their potential across a variety of wireless communication scenarios. Finally, we outline key open research challenges and future directions, underscoring the promise of pinching-antenna systems in enabling versatile, scalable, and intelligent wireless networks for next-generation applications.

Bio: Yanqing Xu received the Ph.D. degree in communication and information system from the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China, in 2019. He was a senior engineer with Huawei Technologies Company Ltd., from July 2019 to July 2020. From September 2020 to August 2022, he was a PostDoc researcher with The Chinese University of Hong Kong, Shenzhen, where he is currently working as a research assistant professor. He is also with the Shenzhen Research Institute of Big Data. Dr. Xu’s current research interest lies in distributed signal processing algorithm designs for large-scale antenna systems. Dr. Xu served as a special session co-organizer and chair in IEEE SPAWC 2024. He was a recipient of the Shenzhen Overseas High-Caliber Personnel, and the Top 3% Paper Recognition of the IEEE ICASSP 2023. Several of his research outcomes have been successfully deployed in Huawei’s base stations, for which he has received the Huawei Technical Cooperation Achievement Transformation Award (1st Prize) in 2024, the Huawei Wireless Product Line Outstanding Technical Cooperation Project Award in 2024, and the Huawei Technical Cooperation Achievement Transformation Award (2nd Prize) in 2022. He is currently serving on the Editorial Board of EURASIP Journal on Wireless Communications and Networking.

 

Dr. Ling Liu
Guangzhou Institute, Xidian University, China

Bio: Ling Liu received the PhD degree from the Department of Electrical and Electronic Engineering, Imperial College London, U.K., in 2015. He was a postdoctoral researcher at Imperial College London until June 2017. From September 2017, he worked at Huawei Technologies on 5G polar codes. He is now with the Guangzhou Institute, Xidian University. He has published over 40 papers in journals and conferences, including IEEE TIT, ISIT, and ITW. He has received several honors, including the “Imperial-CSC” full scholarship and IEEE 2021 WCSP best paper award. His research interests include channel and source coding, network information theory, lattice-based coding, and cryptography.