Special Sessions

Special Session Ⅰ: Control Theory Based on Artificial Intelligence

Session Chair: Assoc. Prof. Xing Chu, Yunnan University, China

Keywords: Reinforcement Learning, Big Data, Interpretability, Deep Learning, Control Theory and Control Engineering

Information: With the exponential development of artificial intelligence theory and technique, related approaches are also naturally applied in control domain. On the contrary, the fundamental concepts and theory of control science also boost the explosion of AI. Under this background, this special session welcomes the articles with contributions from the intersection of artificial intelligence and control science, includes reinforcement learning control, data-driven control, deep reinforcement learning control, deep learning control, explainability of artificial intelligence-based control, etc. We look forward to contributing to the cross research of artificial intelligence and control theory through our cooperation and efforts. 

Topics: 

• Reinforcement Learning Control 

• Data-driven Control

• Deep Reinforcement Learning Control 

• Interpretability 

• Deep Learning Control

Submission Deadline: October 22, 2024

Special Session Ⅱ: AI-Driven Innovations in Mobile Edge Computing

Session Chair: Assoc. Prof. Zhenli He, Yunnan University, China

Dr. Zongshuai Zhang(Senior Engineer), Institute of Computing Technology, Chinese Academy of Sciences, China

Keywords: Edge Intelligence, Mobile Edge Computing, Reinforcement Learning, Deep Learning, AI-driven MEC, Intelligent Edge Solutions

Information: The rapid advancement of Mobile Edge Computing (MEC) and artificial intelligence has created significant opportunities for pioneering research. This special session invites original research articles focusing on AI-driven innovations within the MEC domain. By leveraging AI technologies, MEC can achieve unprecedented levels of efficiency, adaptability, and intelligence, enabling real-time data processing, optimized resource management, and enhanced user experiences. We seek contributions that explore the application of reinforcement learning, data-driven optimization, deep learning, and AI models in edge computing environments. Our goal is to foster interdisciplinary collaboration and highlight substantial progress in integrating AI with edge computing.

Topics: 

• AI-driven Optimization Techniques in MEC

• Reinforcement Learning in MEC

• Data-driven Methods for MEC

• Deep Learning Solutions for Edge Computing

• Real-time Data Processing and Analytics at the Edge

• Intelligent Resource Management in MEC

• Edge Intelligence for IoT and Connected Devices

• Security and Privacy in AI-driven MEC

• Collaborative and Federated Learning in MEC

Submission Deadline: October 22, 2024

Special Session Ⅲ: Applications in Image Analysis

Session Chair: Assoc. Prof. Dehai Zhang, Yunnan University, China

Keywords: Image Analysis, Biomedical Image Analysis, Image Caption, Feature Extraction, Semantic Segmentation, Image Classification 

Information: Despite the significant success in methods for image analysis in the past decade, its applications in addressing real problems are still unsatisfactory. Such a status also indicates a non-neglectable gap between theoretical progress and real applications in the related areas. The collection of these topics moves toward narrowing such gaps, and so we invite papers on both theorical and applied issues related to image analysis.

Topics: 

• Deep Learning Based Methods for Image Analysis

• Deep Learning Based Methods for Video Analysis

• Image Fusion Methods and Applications

• Multimedia Systems and Applications

• Image Enhancement and Restoration Methods and Their Applications

• Image Analysis and Pattern Recognition for Robotics and Unmanned Systems

• Document Image Analysis and Applications

• Structural Pattern Recognition Methods and Applications

• Biomedical Image Analysis and Applications

• Advances in Pattern Recognition Theories

Submission Deadline: October 22, 2024

Special Session Ⅳ: AI Application in Medicine

Session Chair: Assoc. Prof. Junjia Gao, University of Chinese Academy of Sciences, China

Keywords: AI, Medicine, RL, DM

Information: Artificial intelligence (AI) is rapidly transforming the medical field, presenting unprecedented opportunities and challenges. AI technologies, particularly machine learning and deep learning, can process and analyze vast amounts of medical data, enhancing diagnostic accuracy and efficiency. Through image recognition, AI assists radiologists in quickly identifying tumors and other abnormalities, significantly improving the efficiency of imaging examinations. In personalized medicine, AI analyzes patients' genetic information, lifestyles, and medical histories to create tailored treatment plans for each individual. Additionally, AI plays a crucial role in drug discovery by simulating and predicting interactions between drugs and biological targets, accelerating the development of new medications. In clinical decision support systems, AI provides real-time recommendations and alerts, helping healthcare providers make more informed treatment decisions. Furthermore, AI is essential in telemedicine and health monitoring, leveraging wearable devices to collect real-time data and monitor patients' health, issuing timely warnings when necessary. Despite the vast potential of AI applications in medicine, challenges such as data privacy, ethics, and technological feasibility remain. As technology continues to advance and regulations are refined, AI is expected to play an increasingly significant role in enhancing the quality and efficiency of healthcare services while reducing costs.

Topics: 

• AI-Powered Diagnostics: Transforming Radiology and Beyond

• Personalized Medicine in the Age of AI: Tailored Treatments for Individual Patients

• Accelerating Drug Discovery: The Role of AI in Modern Pharmaceutical Research

• Ethics and Data Privacy in AI-Driven Healthcare

• The Future of Telemedicine: AI-Enhanced Health Monitoring and Patient Engagement

• AI in Clinical Decision Support: Enhancing the Role of Healthcare Providers

• Challenges and Opportunities: Implementing AI Technologies in Healthcare Systems

Submission Deadline: October 22, 2024

Special Session Ⅴ: Towards Conscious Artificial Intelligence: Technological Advances and Philosophical Explorations

Session Chair: Prof. Hengjin Cai, Wuhan University, China

Session Co-chair: Prof. Yucong Duan, Hainan University, China

Keywords: AGI, Conscious AI, Machine Consciousness, AI and Ethics

Information: The session Towards Conscious Artificial Intelligence: Technological Advances and Philosophical Explorations will delve into the possibilities of consciousness in the field of artificial intelligence, discussing multifaceted issues ranging from technological breakthroughs to philosophical definitions, and from ethical considerations to societal impacts. It aims to foster interdisciplinary dialogue and provide insights and guidance for building a responsible and sustainable future for artificial intelligence.

Topics: 

• Theoretical Frameworks Defining Machine Consciousness

• Advances in AI Technologies that May Pave the Way for Conscious AI

• Ethical Implications of Creating Conscious Artificial Entities

• Societal Impacts and the Future Landscape of Human-AI Coexistence

• Interdisciplinary Approaches Understanding and Developing Conscious AI

• AI Governance

Submission Deadline: October 22, 2024

Special Session Ⅵ: AI Methodologies and Applications in Pattern Recognition and Machine Learning

Session Chair: Assoc. Prof. Shuyi Li, Beijing University of Technology, China

Session Co-chair: Assoc. Prof. Shuping Zhao, Guangdong University of Technology, China

Keywords: Advanced AI, Pattern Recognition Technologies, Machine Learning Algorithms, Deep Learning Applications, Intelligent Systems, AI Generated Content

Information: With the booming advancement of artificial intelligence technologies, innovative research work in pattern recognition and machine vision has ushered in a broad application prospect. This session aims to dissecting the latest AI research achievements in pattern recognition, machine learning, deep learning, AI Generated Content, etc. Furthermore, this session will explore how they optimize object detection, image recognition, natural language processing, biometric recognition, smart manufacturing, smart cities, generated content, and other scenarios.

Topics: 

• Advanced machine intelligence methods and applications

• Advanced pattern recognition methods and applications

• Deep-learning-based methods and applications

• Biometric recognition algorithms and applications

• Multi-view/-modal learning and fusion

• Data mining and analysis

• Advanced models in computer vision, such as object tracking and detection, AIGC, NLP

Submission Deadline: October 22, 2024