Important Dates

Workshop/SS Proposal Due

April 15, 2024
June 15, 2024

(Extended)


Regular Paper Due

July 15, 2024
August 15, 2024

(Extended)


WiP/Workshop/SS Paper Due

July 15, 2024
August 20, 2024

(Extended)


LBI Paper Due

August 31, 2024


Author Notification

September 15, 2024
September 25, 2024

(Extended)


Camera-Ready Submission

October 15, 2024


Conference Date

December 02-07, 2024


Sponsored and supported by

Workshop & Special Sessions

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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