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.

 

Prof. Xiaoying Song
Wuhan University of Science and Technology, China

Biography: Xiaoying Song received her B.S. degree in Electronic Science and Technology in 2012 and her Ph.D. degree in Microelectronics and Solid-State Electronics in 2017, both from Wuhan University, China. She is currently a professor at the School of Electronic Information, Wuhan University of Science and Technology, and holds the title of Chutian Scholar of Hubei Province.

Her research focuses on graph signal processing, hypergraph learning, QSAR/QSPR modeling learning of compounds, and brain network analysis. She has published over 20 SCI/EI papers in related fields, including IEEE TPAMI and TIP. One of her papers was recognized as an Excellent Scientific and Technological Paper of Hubei Province (2021–2023). Her work has been well funded by the National Natural Science Foundation of China. She is a member of IEEE and serves as a council member of the Hubei Province Association for Artificial Intelligence. She is also affiliated with CAAI, CAA, and CSIG.

 

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.