Special Session
Special Session Ⅰ: Multimodal Perception and Its Applications
Session Chair: Prof. Changxin Gao——Huazhong University of Science and Technology, China
Assoc. Prof. Yuanjie Shao——Huazhong University of Science and Technology, China
Information: Nowadays, Multimodal Perception has emerged as a crucial research area in the field of artificial intelligence. By integrating information from multiple sensory modalities such as visual, auditory, and text data, it enables more accurate and comprehensive understanding of the real - world environment. This special session aims to explore the latest advancements in Multimodal Perception technologies and their wide - ranging application scenarios. Multimodal Perception is not only revolutionizing traditional computer vision and audio processing tasks but also finding applications in emerging fields like virtual reality, robotics, and smart healthcare.
The topics to be covered include, but are not limited to:
Multimodal Fusion
Multimodal Object Recognition
Multimodal Scene Understanding
Multimodal Object Detection
Multimodal Learning Algorithms
Multimodal Alignment
Multimodal Retrieval
Multimodal - guided Image Enhancement
Collaborative Perception
Submission Deadline: June 10, 2025
Special Session Ⅱ: Cross-media Intelligent Analysis and Reasoning
Session Chair: Prof. Libo Liu——Ningxia University, China
Dr. Ruonan Zhang——Ningxia University, China
Keywords: Multi-modal/cross-modal Retrieval, Large model, Representation learning, Labeling and description, Interaction, Alignment, Generation, Analysis
Information: The rapid development of internet and multimedia technologies has led to an explosive growth of massive multimodal data (such as images, videos, text, audio, etc.). Efficiently and accurately retrieving user-needed information from these heterogeneous data has become a critical challenge in the field of information retrieval. In this context, Cross-media Intelligent Analysis and Reasoning has emerged, aiming to break down the barriers between different modalities and achieve deep integration of cross-modal semantic understanding and information retrieval.This session will focus on the core technologies, application scenarios, and future development trends of preprocessing in cross-media intelligent analysis to advance the innovation and application of cross-media intelligent analysis and reasoning technologies.
The topics to be covered include, but are not limited to:
Cross-media Representation Learning
Cross-media Knowledge Graph
Cross-media Reasoning Models
Cross-media Retrieval
Cross-media Generation
Cross-media Sentiment Analysis
Cross-media Event Analysis
Applications of Cross-media in Smart Cities, Healthcare, Education, Finance, Entertainment, etc.
Inference, enhancement, and related applications of large models, etc.
Submission Deadline: May 15, 2025
Special Session Ⅲ: Evolutionary Computation and Swarm Intelligence for Solving Dynamic / Large-Scale / Multi-Objective Optimization Problems
Session Chair: Prof. Wei Song——Jiangnan University, China
Keywords: Evolutionary Computation, Swarm Intelligence, Dynamics, Large-scale, Multi-Objective, Optimization
Information: The field of optimization is experiencing a significant transformation driven by advances in computational techniques and artificial intelligence (AI). Dynamic / large-scale / multi-objective optimization （D/L/MO） algorithms attempt to handle complex optimization problems with multi-objectives and/or large-scale decision variables in a changing environment. This session will provide an in-depth understanding of D/L/MO and corresponding diverse applications. We will:
*Solving D/L/MO Problems: Understanding D/L/MO knowledge, principles, capabilities, and emerging techniques for solving D/L/MO problems.
*Exploring Real-World Applications: Learn how D/L/MO algorithms are applied in various scenes such as engineering, logistics, finance, healthcare, etc.
*Seeking Challenges and Opportunities: Finding challenges of existing D/L/MO algorithms, such as reducing computational complexity, accelerating convergence, and preventing premature convergence. Exploring the opportunities that efficient D/L/MO algorithms present in handling real-world problems.
This session is designed for researchers, practitioners, and students interested in D/L/MO. Whether you are an expert or new in the field of D/L/MO, this session will provide valuable insights and foster discussions on how D/L/MO algorithms can address complex optimization problems.
The topics to be covered include, but are not limited to:
Novel algorithms for solving D/L/MO problems, including evolutionary computation, swarm intelligence, reinforcement learning, transfer learning, etc
Hybrid algorithms combining evolutionary computation with other optimization algorithms or learning techniques
Tailored algorithms for solving specific types of D/L/MO problems, e.g., sparse problems, constrained problems, expensive problems, multimodal problems, and others
Applications of existing algorithms to D/L/MO problems in emerging areas, e.g., machine learning, data mining, manufacturing, scheduling, electrics, economics, bioinformatics, medicine, and others
Performance assessment, theoretical analysis, and benchmarking of algorithms for D/L/MO problems
Future directions in D/L/MO: Emerging trends, future research directions, and potential breakthroughs in D/L/MO
Submission Deadline: June 10, 2025
Special Session Ⅳ: AI-empowered Mobile Edge Computing
Session Chair: Dr. Hai Xue——University of Shanghai for Science and Technology, China
Keywords: Mobile Edge Computing, Resource Allocation and Orchestration, Resource Pricing Strategy, Offloading Decision-making, Service Migration, Edge Caching
Information: With the fast propagation of IoT, mobile edge computing (MEC) as a new computing paradigm has attracted great attention from both academia and industry. MEC sinks the cloud resources to the network edge closer to end devices, which mitigates the inherent problem of cloud computing, such as serious delays due to long-distance communication. In the meantime, the fast development of AI has created growing excitement and much debate about its potential to revolutionize ICT. To this end, researchers have conducted a couple of research by integrating AI techniques with MEC.
However, to embrace the promising mobile edge computing, there are many challenges in enabling technologies, such as resource allocation and orchestration, resource pricing strategies, etc. This special session aims to present state-of-the-art research in the area of AI-empowered mobile edge computing for experts to disseminate their recent advanced works, views, and ideas on future directions in this field.
The topics to be covered include, but are not limited to:
Intelligent architectures and models for edge deployment
Edge resource allocation and orchestration mechanisms
Resource pricing strategies in mobile edge computing
Advanced edge offloading techniques
Advanced edge caching techniques
Advanced service migration techniques for mobile edge computing
Intelligent offloading decision-making techniques for mobile edge computing
Swarm intelligence for mobile edge computing
Mobile edge computing for smart cities, UAVs, and IoVs
Case studies of a new computing architecture for sustainable mobile edge computing
Submission Deadline: June 10, 2025
Special Session Ⅴ: Deep Learning Algorithms and Their Applications in Computer Vision
Session Chair: Prof. Chaofeng Li——Shanghai Maritime University, China
Information: Currently, Artificial Intelligence methods, represented by Deep Learning, are playing a transformative role in many fields, especially in Computer Vision. This special session will delve into the exploration of novel Deep Learning algorithms and their application prospects in related fields of Computer Vision, such as Image Dehazing, Image Deraining, Image Enhancement, Object Detection and Tracking in images, Image Quality Assessment, Visual Quality Monitoring, etc.
The topics to be covered include, but are not limited to:
Machine Learning
Deep Learning
Computer Vision
Image Dehazing
Image Enhancement
Image Quality Assessment
Object Detection
Image Segmentation
Video Object Tracking
Submission Deadline: June 10, 2025
Special Session Ⅵ: Multirobot Collaboration and Its Applications
Session Chair: Assoc. Prof. Jiyu Cheng——Shandong University, China
Keywords: Multirobot System, Collaborative Perception, Collaborative Decision-making, Autonomous Learning
Information: In recent years, as multi-robot systems have been increasingly utilized in various fields such as power inspection, autonomous unmanned vehicle fleets, intelligent warehousing, and logistics, multi-robot technology has gradually become a research hotspot in the field of robotics. In many complex application scenarios, multiple robots cannot pre-acquire environmental map information and need to operate in unknown environments. In such application scenarios, multirobot collaboration becomes particularly important. Therefore, it makes great sense to devote more efforts exploring its potential and shine lights on its future developing direction.
The topics to be covered include, but are not limited to:
Multirobot Exploration and Navigation Algorithms
Machine Learning and Artificial Intelligence in Multirobot Systems
Sensor Fusion and Perception for Multirobot Systems
Multirobot Systems and Heterogeneous Robot Teams
Applications of Autonomous Robot Systems and Swarm Intelligence
Submission Deadline: June 10, 2025