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Workshop on Advanced AI Technology for Future 6G System
Synopsis: Following the achievements and standardization of 5G, researchers have started to conceptualize
paradigms and schemes for 6G networks with the vision of integrating sensing, communication,
and computation functionalities. To achieve such functionalities, new wireless technologies (e.g.,
millimeter-wave/THz frequency bands, reconfigurable intelligent surfaces and smart wireless
environments) have appeared that pave the way to 6G applications. However, those technologies
requiring precise models for their operation and high computation capability, thereby posing a
significant challenge for their design and implementation in beyond 5G (B5G) and 6G systems. To
alleviate such challenges, advanced AI techniques, such as deep neural networks (DNN), deep
reinforcement learning (DRL), or even large language models (LLMs), have emerged as promising
design alternatives. Therefore, the convergence of AI and network components’ design is expected
to contribute toward a sustainable B5G/6G ecosystem.
Organizers: Bo Yang, Northwestern Polytechnical University
Xuelin Cao, Xidian University
George C. Alexandropoulos, National and Kapodistrian University of Athens
Chau Yuen, Nanyang Technological University
Interactive UbiSociety: Workshop on Combining Ubiquitous Computing and Human-Computer Interaction for Constructing a Human-Centered Intelligent Society
Synopsis: Nowadays, with technical progress in artificial intelligence, the paradigm of human-computer
interaction has been deeply improved. Generally, HCI focuses on improving interaction efficiency
and user experience by designing novel techniques, however, traditional interaction techniques
encountered many difficulties in today’s intelligent society, especially when dealing with complex
daily environment. To tackle this problem, a recent idea is to combine the sensing ability of
ubiquitous computing devices with innovative interaction techniques, which has the potential to
deeply transform classical human machine systems.
Organizers: Kaixing Zhao, Northwestern Polytechnical University, China
Qi Lu, Tsinghua Unviersity, China
Yilei Shi, Northwestern Polytechnical University, China
Zuheng Ming, University Paris Nord, France
Jiashuo Cao, The University of Auckland, New Zealand
Ruochen Cao, Taiyuan University of Technology, China
mHealthImpact: Workshop on Mobile Health Software: Impact and User Perceptions
Synopsis: With the increasing prevalence of mobile technology in daily life, mobile phone health
software has emerged as a valuable tool for individuals to manage their health. The software offers
users data management tools for collecting, storing, analyzing, and sharing their daily physical
activities, as well as assisting users in understanding their health. It is crucial to effectively transform
health data and knowledge into behavior. However, it is still uncertain whether the perception of
information provided by such software can effectively motivate users to develop and sustain health
awareness and behaviors, despite the considerable potential of mobile health software. The objective
of this workshop is to examine the factors and effects of mobile health software information
perception on the transformation of health behaviors and to provide a scientific basis for improving
the user experience and health promotion effects of mobile health software.
Organizers: Jun Liu, Fujian Normal University, China
Binxin Hu, China University of Geosciences, China
Hongtao Wu, China University of Geosciences, China
Yuxuan Hua, China University of Geosciences, China
FutureUbiq: Workshop on Advanced Technologies for Future Ubiquitous Intelligence
Synopsis: Ubiquitous intelligence, empowered by sophisticated technological advancements, is increasingly
becoming integral to our daily lives, reshaping the way we interact with digital and physical worlds.
This workshop dives deep into the core of future ubiquitous applications, exploring the challenges
and opportunities presented by advanced modeling, architecture, and machine learning, including
causality and AI explanation. It spans a broad array of cutting-edge topics such as real-time 3D
tracking, depth sensing, and the simulation of physical phenomena within immersive 3D
environments. Techniques in physics-based animation, real-time rendering, and decision-making
systems for VR/AR/MR environments highlight the intersection of computational power and usercentric design in creating responsive, intuitive, and effective ubiquitous systems. Moreover, the
exploration of generative modeling within these applications opens new possibilities for creating
dynamic and adaptive environments. This workshop is designed to foster a comprehensive
understanding of these technologies, from their theoretical foundations to practical applications,
paving the way for innovations that enhance and expand the capabilities of ubiquitous intelligence
across various domains.
Organizers: Yushan Pan, Xi'an jiaotong-liverpool university, China
Elliot Wen, the University of Auckland, New Zealand
Xiang Nan, Xi'an jiaotong-liverpool university, China
Yushi Li, Xi'an jiaotong-liverpool university, China
Jia Wang, Xi'an jiaotong-liverpool university, China
iAgriculture: Workshop on Intelligent Agriculture: Innovative Technology and Systems
Synopsis: This workshop on Intelligent Agriculture: Innovative Technology and Systems
(iAgriculture 2024) of UIC 2024 provides international coverage of advances in the
development and application of computer hardware, software, electronic
instrumentation, and control systems for solving problems in agriculture, including
agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, and
animal/livestock farming.
Organizers: Zhenbo Li, China Agricultural University, China
Zengwei Zheng, Hangzhou City University, China
Zhongqi Lin, Hangzhou City University, China
EdgeAI: Special Session on Collaborative Edge Intelligence and Its Emerging Applications
Synopsis: In recent years, we have witnessed the great success of edge computing with a wide range of
successful applications, such as on-site IoT (internet of things) data processing and smart home.
In these applications, edge devices receive computation tasks from the end devices and collaborate
with the cloud to accomplish the tasks. However, such edge computing solutions are inadequate.
On the one hand, edge devices still need to communicate frequently with the remote central cloud,
leading to high latency and privacy concerns. On the other hand, edge devices only handle
simplistic tasks, while emerging applications (e.g., intelligence transportation systems and
metaverse) demand advanced AI services.
Organizers: Shan Jiang, The Hong Kong Polytechnic University, Hong Kong
Jiannong Cao, The Hong Kong Polytechnic University, Hong Kong
Milos Stojmenovic, Singidunum University, Serbia
ISP: Special Session on Intelligent Signal Processing Techniques
Synopsis: The rapid advancement in intelligent signal processing (ISP) techniques has significantly impacted various
fields such as communications, medcal imaging, audio and speech processing, and autonomous systems.
This special session aims to bring together researchers, practitioners, and industry experts to discuss recent innovations, challenges,
and future directions in intelligent signal processing. By showcasing cutting-edge research and practical applications, this session will foster collaboration and inspire new developments in the field.
Organizers: Uzair Aslam Bhatti, Hainan University, China
Tang Hao, Hainan University, China
MultimodalAI: Special Session on Multimodal and Cross-modal Intelligence
Synopsis: This special session on "Multimodal and Cross-modal Intelligence" aims to explore cutting-edge research and advancements in multimodal and cross-modal machine learning methodologies, showcase real-world applications and case studies demonstrating the impact of AI-related technologies, discuss the hardware and software systems for supporting multimodal tasks and identify future innovations in these areas. We particularly welcome papers on advanced AI research methods, such as multimodal perception learning, foundation models, cross-modal contrastive learning, generative diffusion model and explainable AI. Additionally, papers on machine learning surveys, AI applications, and case studies using AI for life science, education, robotics, autonomous vehicles, manufacturing, recommendation systems and creative industries are also encouraged.
Organizers: Xun Shao, Toyohashi University of Technology, Japan
Yiming Wang, Teesside University, United Kingdom
Hui Yu, University of Glasgow, United Kingdom
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