Special Session Ⅰ- Data Mining and Fault Diagnosis
Chair: Yuanjiang Li, Jiangsu University of Science and Technology, China
Co-chairs: Ruijie Zhao, Jiangsu University, China
Jin Zhu, Jiangsu University of Science and Technology, China
Co-organized by Jiangsu University of Science and Technology, China
Keywords:
Time series prediction
Time series anomaly detection
Fault diagnosis
Interpretable artificial intelligence
Summary:
Data mining is a creative process involving a large number of different technologies and knowledge, aimed at extracting knowledge of interest from data in large databases. This process requires predetermining the steps to be taken and the goals to be achieved to ensure the orderly implementation and success of data mining.
Fault diagnosis is a process of collecting and analyzing data aimed at determining the cause of a fault and how to prevent its recurrence. This process involves almost all industries and is an important means to ensure industrial safety and improve production efficiency.
In summary, data mining is a process of extracting useful information from large amounts of data, while fault diagnosis is a process of determining the cause of faults and taking corresponding measures by collecting and analyzing data. The two methods are interrelated in industrial applications, jointly promoting the improvement of industrial safety and efficiency.
Topics:
Univariate/Multivariate Time Series Prediction and Modeling Type Stability Analysis
Time Series Anomaly Detection - Anomalies in Point/Subsequences Frequently Analyze
Deep Learning Methods in Fault Diagnosis and Decision-making Assistance Application in the Field and its Interpretability Analysis
Knowledge Graph Method in the Field of Fault Diagnosis
Special Session Ⅱ- Network Learning and Propagation Dynamics Analysis (DDL: 2025.5.30)
Chair: Xuzhen Zhu, Beijing University of Posts and Telecommunications, China
Co-chairs: Yuexia Zhang, Beijing Information Science and Technology University, China
Yujie Yang, Henan Normal University, China
Zijia Huang, National Key Laboratory of Multi-domain Data Collaborative Processing and Control, China
Keywords:
Complex Network
Propagation Dynamics
Link Prediction
Recommendation Algorithm
Air-Ground Integrated Network
Artificial Intelligence
Summary:
The topic "Network Learning and Propagation Dynamics" will focus on the latest advancements in complex networks, propagation dynamics, link prediction, and recommendation algorithms. The structures of complex networks play a crucial role in various applications in modern society, including social media, Space-Air-Ground Integrated Network（SAGIN） communication network information dissemination, and biological networks. By studying communication dynamics, we can gain a better understanding of the transmission rules and the factors that influence the spread of information, rumors, and computer virus. Link prediction technology is a powerful tool for identifying potential connections within large-scale data, greatly facilitating research in social networks and scientific collaboration. Recommendation algorithms are designed to provide users with personalized content suggestions based on their interests and behaviors, enhancing the overall user experience. This session will bring together experts and scholars worldwide to discuss these cutting-edge topics' challenges and future directions, driving further breakthroughs in network learning and propagation dynamics.
Topics:
Trend analysis of social network information dissemination
Analysis of computer virus transmission process
Link prediction on social networks
Behavior analysis on social networks
Network state prediction
Pattern recognition of behaviors
Personalized recommender systems
Communication of SAGIN（Space-Air-Ground Integrated Network）
Special Session Ⅲ- Signal Processing, Access Techniques and Intelligence Algorithm for Communications (DDL: 2025.5.28)
Chair: Ying Lin, Lanzhou University of Technology, China
Co-chair: Suoping Li, Lanzhou University of Technology, China
Keywords:
Access Techniques
Artificial Intelligence
Signal Processing
Wireless Channel Modeling
Summary:
Communication signal processing, transmission, and access technologies are important parts of research in communication systems. In recent years, with the rise of artificial intelligence and intelligent algorithms, methodological research in communication signal processing and resource allocation has changed significantly. This session welcomes scholars to submit their latest academic research on the application of artificial intelligence to access technology, signal processing, and communication resource allocation.
Topics:
Orthogonal and non-orthogonal multiple access techniques
Radio Resource Management and Scheduling
Multiple-input multiple-output (MIMO) communication
Green communication and energy harvesting
Channel estimation and synchronization
Cooperative and relay-aided communications
UAV communication technology
Application of machine learning in communication system
Special Session Ⅳ- Smart Vehicles and Intelligent Transport (DDL: 2025.5.10)
Chair: Zhijuan Li, Heilongjiang University, China
Co-chair: Qianqian Ren, Heilongjiang University, China
Keywords:
Intelligent transportation systems (ITS)
Connected Vehicles
Smart Vehicles
Autonomous Driving
Vechicle-to-Everything (V2X)
Summary:
This special session aims to bring together engineers, researchers, and practitioners interested in the advancements and applications in the fields of vehicle technology and intelligent transportation systems.
The focus of this session is on innovative applications, tools, and platforms, covering technical areas such as signal processing, wireless communications, informatics, and electronics. It encompasses various types of vehicles, including cars, off-road vehicles, trains, ships, underwater vehicles, and flying machines, as well as intelligent transportation systems that connect and manage large numbers of vehicles. These systems are not only applied in smart cities but also extend to many other application domains.
Submissions of papers describing advanced prototypes, systems, tools, and technologies, as well as review papers outlining future directions, are encouraged. Original research contributions in any of the listed areas are welcome. Accepted papers will be presented by their authors at the conference and included in the conference proceedings.
Topics:
Intelligent Transportation Systems and Infrastructure
Intelligent Vehicle Technologies
Data Analytics
Smart Mobility and Sustainable Transport Services
Autonomous Driving and Smart Connectivity Summit
Special Session Ⅴ- Federated Learning & Distributed Optimization for Cloud-Edge Collaboration (DDL: 2025.5.30)
Chair: Gang Yan, Jilin University, China
Keywords:
Federated Learning
Distributed Optimization
Cloud-Edge Collaboration
Network and Information Security
Privacy-Preserving Computing
Communication & Computation Optimization
Summary:
With the rapid evolution of 5G, cloud computing, and edge computing in the fields of networking and information communication engineering, large-scale distributed intelligent systems are facing unprecedented demands for robust privacy protection and efficient collaboration. Federated Learning (FL) and Distributed Optimization (DO) have emerged as crucial approaches for accommodating heterogeneous data, enabling distributed model training, and supporting dynamic collaboration. However, real-world implementations continue to grapple with security vulnerabilities, communication overhead, data heterogeneity, dynamic client management, and scalability challenges.
This session concentrates on FL and DO in cloud-edge collaborative environments, emphasizing secure, efficient, and scalable system design. By bringing together state-of-the-art research, pioneering algorithms, and practical deployment experiences, we aim to facilitate the integration of these technologies in privacy-sensitive areas such as healthcare, finance, IoT, and autonomous driving. We invite researchers and practitioners from both academia and industry to share their insights, solutions, and case studies, thereby propelling the future of networking and information communication engineering toward a more secure and intelligent era.
Topics (Including but not limited to the following topics):
1. Security and Privacy in FL
Applications of differential privacy, secure multiparty computation, and homomorphic encryption in FL
Robust aggregation methods against poisoning attacks
Strengthening FL security with Trusted Execution Environments and blockchain
2. Cloud-Edge Collaboration and Efficient Distributed Optimization
Distributed training frameworks in edge computing scenarios
Optimization for reduced communication overhead
Algorithm design under Non-IID environments
3. FL in Engineering
FL for 5G network optimization and resource management
Distributed AI deployment in SDN and NFV
Real-time FL and optimization in communication systems
4. Cross-Domain & Cross-Device FL
Distributed cooperative computing in heterogeneous mobile devices and IoT environments
Federated transfer learning and federated meta-learning
FL applications across healthcare, finance, transportation, and other industries
5. Trustworthy & Explainable FL
Explainability and visualization techniques for FL models
Fairness and bias mitigation in FL
Regulatory compliance and legal issues in privacy-preserving FL
Special Session Ⅵ - Advanced Signal Designs for 6G Communication (DDL: 2025.5.28)
Chair: Guofa Cai, Guangdong University of Technology, China
Co-Chair: Zhiping Xu, Jimei University, China
Keywords:
Channel Codes
Advanced Modulations
Wireless Communication
Integrated Sensing and Communication
Summary:
6G communication will poise to revolutionize the way we connect, communicate, and interact with the world. As the foundation of next-generation wireless systems, advanced signal designs will play a pivotal role in unlocking the full potential of 6G technologies. This session focuses on the frontier advancements and innovative approaches in signal designs for 6G communication, which aim to address the challenges of ultra-high data rates, massive connectivity, ultra-low latency and energy efficiency in future networks.
Topics (Including but not limited to the following topics):
Advanced Channel Codes
Advanced Modulation Techniques
Terahertz (THz) Communication
Reconfigurable Intelligent Surface Communications
Integrated Sensing and Communication
Holographic Communications
Semantic Communication
Non-orthogonal Multiple Access (NOMA) Techniques
Artificial Intelligence-driven Signal Processing Techniques
Maritime/Underwater Communication