Submission Deadline Extended to 28 March 2025
W19: Multi-modal and Generative Semantic Communications Towards Cloud-Edge-End Intelligence
Co-Organizer: Shuoyao Wang, Shenzhen University, China
Co-Organizer: Mahdi Boloursaz Mashhadi, 5G/6G Innovation Center (5GIC/6GIC), Institute for Communication Systems (ICS), University of Surrey, UK
Co-Organizer: Shijian Gao, The Hong Kong University of Science and Technology, China
Co-Organizer: Jia Yan, The Hong Kong University of Science and Technology, China
Co-Organizer: Rongqing Zhang
Co-Organizer: Shenghui Song
Co-Organizer: Hongyang Du, University of Hong Kong, Hong Kong
Co-Organizer: Yao Sun, University of Glasgow, UK
Workshop Program:
Session 1 (14:00-15:30)
Keynote 1: Al-Native Wireless Communications Bridging Data-Driven Intelligence and Physical Models
Yingjun Angela Zhang, The Chinese University of Hong Kong
Keynote 2: Integrated Communications and AI: From Specialist Models to Foundation Models
Jun Zhang, Hong Kong University of Science and Technology
Session 2 (16:00-17:30)
Architecture for AI-enabled Multimodal Semantic Communication and Computing
Pavel Mach, Zdenek Becvar, Mostafa Kishani, Czech Technical University in Prague; Mehdi Bennis, University of Oulu
Joint Latency-Energy Aware Digital Twin Placement in Heterogeneous Cloud-Edge Networks
Ziru Zhang, Jiadong Yu, Xuling Zhang, Yuyang Wang, Pan Hui, Hong Kong University of Science and Technology (Guangzhou)
Optimization of Compression Rate Allocation for Image Segmentation Regions in MIMO DeepJSCC
Goki Sawada, Shion Inokuma, Tokyo University of Science; Daisuke Hisano, Osaka University; Kazuki Maruta, Tokyo University of Science
Resource Allocation for Semantic Aware Relay Networks Using Multi-Agent Reinforcement Learning
Waleed Ahsan, University of Surrey and QMUL; Chuan Heng Foh, Yi Ma, University of Surrey
WCANet: Wavelet-Based Cross-Attention Framework for Multispectral Pedestrian Detection in Intelligent Transportation Systems
Sirui Wang, Liang Dong, Haicheng Zhang, Guiling Sun, Nankai University
Virtual:
Attention-based Semantic Communication Systems for Artificial Intelligence of Things
Fan Jiang, Hongjian Yan, Lei Liu, Xi’an University of Posts and Telecommunications; Chaowei Wang, Beijing University of Posts and Telecommunications
Diffusion-Aware Deepfake Detection via Kernel PCA on Noise Residuals for Semantic Communication
Bingju Chen, China Agriculture University
Energy Consumption Optimization of UAV-assisted Edge Computing Network via Tiny-MADDPG
Jialei Cheng, Ming Yan, Ling Lei, Communication University of China; Lifen Li, Yanching Institute of Technology
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Abstract: Fueling by the seamless integration of wireless communications, computation, sensing and generative artificial intelligence (AI), AI model training and inference can now be conducted through cloud-edge-end collaboration over wireless networks, leveraging vast amounts of multi-modal data distributed at heterogeneous users. This gives rise to cloud-edge-end intelligence (CEEI), with applications including low-altitude networks, XR/VR and industrial IoT. Nevertheless, the massive data volumes to be transmitted pose significant challenges, calling for generative semantic communication tailored specifically for cloud-edge-end intelligent systems. In addition, mobile devices equipped with diverse sensors typically collect multi-modal data, exacerbating the complexities of generative semantic CEEI. Moreover, the imperfections, heterogeneity and dynamic nature of the networks necessitate the joint optimization of multi-modal data sensing, processing, and generative semantic communications to facilitate efficient, reliable, adaptive, and real-time distributed AI model training and inference via CEEI. This workshop aims to convene experts and researchers from academia and industry to tackle both fundamental and practical issues related to multi-modal and generative semantic communications towards CEEI.
The organizing committee cordially invites submissions of original, un-published, high-quality research papers that contribute to the development of multi-modal and generative semantic communications towards CEEI.
Topics of interest include, but are not limited to:
• New architectures of multi-modal and generative semantic
communications for CEEI
• Novel protocols of multi-modal and generative semantic
communication systems for CEEI
• Task-oriented joint source and channel coding for multi-modal data in
CEEI
• Multimodal generative model-based joint source and channel coding
for CEEI
• Information-theoretic insights into semantic multi-modal
communications for CEEI
• Signal processing techniques for semantic multi-modal
communications for CEEI
• Generative semantic communications for multi-modal distributed edge
learning
• Generative semantic communications for multi-modal cloud-edge-end
collaborative edge inference
• Distributed task-oriented learning and generative model fine-tuning
over cloud-edge-end wireless networks
• Resource-efficient methods for distributed multi-modal intelligence
over cloud-edge-end wireless networks
• Energy-efficient and green multi-modal communications for CEEI
• Privacy-preserving techniques for multi-modal distributed intelligence
• Performance evaluation and benchmarking of multi-modal and
generative semantic communication systems for CEEI
• Experimental testbeds and simulation platforms for multi-modal and
generative semantic communications for CEEI
• Applications of multi-modal and generative semantic communications
in real-time metaverse scenarios and autonomous systems
Co-Organizer’s Bios:
Shuoyao Wang:
Shuoyao Wang received the B.Eng. (first honor) and Ph.D. degrees in information engineering from the Chinese University of Hong Kong, Hong Kong, in 2013 and 2018, respectively. From 2018 to 2020, he was a Senior Researcher with Tencent, China. Since 2020, he has been with the College of Electronic and Information Engineering, Shenzhen University, China, where he is currently an Associate Professor. His research interests mainly involve machine learning and optimization theory in multimedia communications, wireless communications, and semantic communications. Dr. Wang was a co recipient of the Best Paper Award from IEEE ICC 2024 and WCSP 2024. He is currently on the Editorial Board of IEEE TRANSACTIONS ON MOBILE COMPUTING and IEEE OPEN JOURNAL OF COMMUNICATION SOCIETY.
Mahdi Boloursaz Mashhadi:
Mahdi Boloursaz Mashhadi (Senior Member, IEEE) is a Lecturer at the 5G/6G Innovation Centre (5G/6GIC) at the Institute for Communication Systems (ICS), University of Surrey (UoS), and a Surrey AI fellow. His research is focused at the intersection of AI/ML with wireless communication, learning and communication co-design, generative AI for telecommunications, and collaborative machine learning. He received B.S., M.S., and Ph.D. degrees in mobile telecommunications from the Sharif University of Technology (SUT), Tehran, Iran. He has more than 40 peer reviewed publications and patents in the areas of wireless communications, machine learning, and signal processing. He is a PI/Co-PI for various government and industry funded projects including the UKTIN DSIT 12M£ national project TUDOR. He received the Best Paper Award from the IEEE EWDTS conference, and the Exemplary Reviewer Award from the IEEE ComSoc in 2021 and 2022. He served as a panel judge for the International Telecommunication Union (ITU) on the “AI/ML in 5G” challenge 2021-2022. He is an associate editor for the Springer Nature Wireless Personal Communications Journal.
Shijian Gao:
Shijian Gao received the Ph.D. degree from the University of Minnesota, Minneapolis, MN, USA, in 2022. After graduation, he was a Senior RF Engineer at the Samsung SoC Laboratory, San Diego, CA, USA. In February 2024, he joined the Internet of Things Thrust, The Hong Kong University of Science and Technology (Guangzhou), as an Assistant Professor. His research interests include statistical signal processing, wireless communication, RF systems, and machine learning. He was a co-recipient of the 2021 MICCAI Young Scientist Paper Award. He serves as an Associate Editor for IET Communications.
Jia Yan:
Jia Yan received the B.Eng. degree from the School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China, in 2017, and the Ph.D. degree in information engineering from The Chinese University of Hong Kong, Hong Kong, in 2021. He was a Post-Doctoral Associate with the Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA, from 2021 to 2023. He is currently an Assistant Professor with The Hong Kong University of Science and Technology (Guangzhou). His research interests include optimization and machine learning techniques in wireless communications and networking, particularly in mobile edge computing and edge intelligence.
Rongqing Zhang:
Shenghui Song:
Hongyang Du:
Hongyang Du is an assistant professor at the Department of Electrical and Electronic Engineering, The University of Hong Kong. He received the PhD degree from the Nanyang Technological University, Singapore. He serves as the Editor-in-Chief assistant of IEEE Communications Surveys & Tutorials (2022-), the Editor of IEEE Transactions on Vehicular Technology (2024-), and the Guest Editor for IEEE Vehicular Technology Magazine. He is the recipient of the IEEE Daniel E. Noble Fellowship Award in 2022, the IEEE Signal Processing Society Scholarship in 2023, and the Singapore Data Science Consortium (SDSC) Dissertation Research Fellowship in 2023. His research interests include generative artificial intelligence (GenAI), edge intelligence, semantic communications, and resource allocation.
Yao Sun:
Dr. Yao Sun is currently a Lecturer with the University of Glasgow, Glasgow, UK. Dr. Sun has extensive research experience and has published widely in wireless networking research. He has won the IEEE Communication Society of TAOS Best Paper Award in 2019 ICC, IEEE IoT Journal Best Paper Award 2022 and Best Paper Award in 22nd ICCT. He is the regular reviewer for IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE ACCESS, Transactions on Emerging Telecommunications Technologies, etc. He is the TPC Chair for UCET 2021, and also TPC Member for numerous conferences, including VTC Spring 2022, WCNC 2020, CyberC 2019, ICCT 2019, ICICT 2020. He was the Guest Editor for serveral international journals including Digital Communications and Networks, Journal of Wireless Communications and Networks, etc.
For additional information: VTCSpring25 workshop CFP-0107
To submit a paper, please visit: https://vtc2025s-rr-wks.trackchair.com/track/2376