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Special Session

Special Session Ⅰ: Artificial Intelligence and Education

Session Chair: Lan Yan, Hainan University, China

Keywords: Integration of Artificial Intelligence and Education; AI-Based Education; Education-Oriented Artificial Intelligence Research; Intelligent Teaching Systems and Applications; Intelligent Analysis of Educational Data; Intelligent Empowerment of Personalized Learning

Information: This special topic focuses on the in-depth interdisciplinary research of artificial intelligence and education. It covers not only practical directions such as the innovative application of AI technology in educational scenarios, the development of intelligent teaching tools, and the design of personalized learning programs, but also basic research such as AI algorithm optimization, model construction, and technology adaptation oriented to educational needs. It aims to promote the organic combination of technological empowerment and educational laws, and facilitate the digital transformation and high-quality development of education.

Below is an incomplete list of potential topics to be covered in the Special Session:

  • AI-Driven Personalized Learning Path Planning and Practice

  • Design and Optimization of AI Models for Educational Purposes

  • Development of Intelligent Teaching Systems and Evaluation of Classroom Application Effects

  • Application of Educational Big Data Analysis in Improving Teaching Quality

  • AI Ethical Norms and Risk Prevention Based on Educational Scenarios

  • AI-Enabled Construction and Innovation of Lifelong Learning Systems

  • The Guiding Role of Educational Method Innovation in AI Technology R&D

  • Application of Intelligent Assessment Technology in Educational Evaluation Reform

  • Theory and Practice of AI-Education Integration from an Interdisciplinary Perspective

  • R&D of AI-Assisted Tools for Special Educational Needs

Submission Deadline: April 20, 2026

 

Special Session Ⅱ: Intelligent Optimization, Learning, Modeling, and Decision-Making in Complex Systems and Engineering Applications

Session Chair: Chixin Xiao, Xiangtan University, China

Keywords: Machine Learning, Reinforcement Learning, Evolutionary Computation, Multi-objective Optimization, Multi-disciplinary Optimization and Design, Probabilistic Surrogate Optimization, Stochastic Optimization, Uncertainty Modeling, Complex Systems, Intelligent Decision-Making

Information: This special session aims to bring together researchers and practitioners from artificial intelligence, optimization, and complex systems engineering to explore interdisciplinary advances in intelligent optimization, learning, and decision-making. The session welcomes theoretical, methodological, and application-oriented contributions addressing challenges in dynamic, uncertain, and large-scale environments. Topics include but are not limited to multi-agent learning, stochastic and probabilistic optimization, reinforcement learning, evolutionary computation, and risk-aware decision support for energy, transportation, manufacturing, and environmental systems.

Below is an incomplete list of potential topics to be covered in the Special Session:

  • AI and ML methods for stochastic and uncertainty-aware optimization

  • Reinforcement learning for adaptive and dynamic decision-making

  • Evolutionary computation and swarm intelligence in complex systems

  • Multi-agent learning and cooperative decision under uncertainty

  • Data-driven predictive modeling and probabilistic surrogate optimization

  • Risk-aware and robust optimization for complex environments

  • Digital twin and intelligent control under stochastic disturbances

  • Interdisciplinary applications in energy, environment, and manufacturing systems 

Submission Deadline: April 20, 2026

 

Special Session Ⅲ: Next-Gen AI-Driven Smart Manufacturing

Session Chair: Haixia Xu, Xiangtan University, China

Keywords: Smart Manufacturing, Industrial AI, Multi-Modal Foundation Models, Interpretable AI

Information: Smart manufacturing is the core driving force of the new industrial revolution. Currently, AI technology is transitioning from isolated applications to full-process integration, achieving large-scale deployment in quality inspection, fault diagnosis, production scheduling, and other scenarios. However, the journey toward comprehensive intelligence still faces multiple bottlenecks, making issues of interpretability, real-time performance, and robustness critical challenges demanding immediate breakthroughs. Next-generation intelligent technologies based on multi-modal foundation models demonstrate tremendous potential in smart factories, digital twins, and production process optimization by fusing visual, textual, temporal, and other multi-source data, emerging as the key direction for overcoming these bottlenecks.

This session covers the following core technologies: industrial vision quality inspection and defect analysis, multi-modal data fusion and alignment, open-vocabulary defect detection and fine-grained classification, few-shot/zero-shot learning and cross-domain generalization, interpretable AI and causal reasoning, lightweight edge deployment and real-time inference optimization, domain adaptation and knowledge injection for industrial foundation models, and human-machine collaborative intelligent systems，etc. The session will also emphasize application practices in high-precision manufacturing  such as automotive, semiconductors, and precision components, exploring technical feasibility, cost-effectiveness, and large-scale promotion prospects. It aims to establish a high-level technical exchange platform for experts and practitioners from academia and industry, fostering deep integration of technological breakthroughs and industrial deployment to jointly advance the intelligent transformation of manufacturing to a new stage.

Below is an incomplete list of potential topics to be covered in the Special Session:

  • Industrial Vision Inspection and Foundation Model Applications

  • Multi-Modal Data Fusion and Alignment Mechanisms

  • Open-Vocabulary and Fine-Grained Defect Detection

  • Few-Shot Learning and Model Generalization

  • Interpretability and causal reasoning

  • Edge Intelligence and Real-Time Inference Optimization

  • Digital Twins and Smart Factory Modeling

  • Human-Machine Collaboration and Flexible Manufacturing

  • Industrial Knowledge Graphs and Intelligent Decision-Making

  • Evaluation and Standards for Intelligent Inspection Systems

Submission Deadline: April 20, 2026

 

Special Session Ⅳ: Algorithm Optimization and Applications Based on Machine Learning and Deep Learning

Session Chairs: Lifeng Yin, Dalian Jiaotong University, China

Miao Wang, Henan University of Engineering, China

Keywords: Supervised Learning; Unsupervised Learning; Reinforcement Learning; Deep Learning

Information: Algorithm optimization and applications based on machine learning and deep learning are important research directions in the field of modern artificial intelligence, aimed at enhancing model performance and computational efficiency. Optimization methods include hyperparameter tuning, feature selection, training process optimization, and model compression, all designed to improve the accuracy and responsiveness of algorithms. These optimization techniques are widely applied in areas such as natural language processing, computer vision, healthcare, and fintech, contributing to higher predictive accuracy and real-time decision-making capabilities.

Below is an incomplete list of potential topics to be covered in the Special Session:

  • Optimization and Applications of Supervised Learning Algorithms  

  • Optimization and Applications of Unsupervised Learning Algorithms  

  • Optimization and Applications of Reinforcement Learning Algorithms  

  • Optimization and Applications Based on YOLOv8 Algorithm  

  • Optimization and Applications Based on Graph Neural Networks  

  • Research on the Application of Deep Learning in Multimodal Data Fusion

Submission Deadline: April 20, 2026

 

Special Session Ⅴ: Intelligent Optimization

Session Chairs: Gaige Wang, Ocean University of China, China

Yong Wang, Ocean University of China, China

Keywords: Intelligent optimization, evolutionary computation, metaheuristic algorithms, learning-driven optimization, complex and large-scale optimization problems, engineering and practical applications

Information: This special issue focuses on the theoretical, methodological, and applied research of intelligent optimization. Intelligent optimization integrates artificial intelligence, computational intelligence, and optimization theory, efficiently solving complex, high-dimensional, nonlinear, and uncertain optimization problems through heuristic, metaheuristic, and learning-driven methods. With the rapid development of machine learning, reinforcement learning, and evolutionary computation, intelligent optimization shows broad application prospects in engineering design, scheduling and control, data analysis, energy systems, and intelligent manufacturing. This special issue aims to provide a platform for researchers in related fields to exchange ideas and explore the design, analysis, and interdisciplinary applications of intelligent optimization algorithms.

Below is an incomplete list of potential topics to be covered in the Special Session:

  • Theoretical analysis and performance evaluation of intelligent optimization algorithms
  • Evolutionary algorithms, swarm intelligence, and metaheuristic optimization methods
  • Learning-driven intelligent optimization methods (e.g., reinforcement learning, deep learning-assisted optimization)
  • Large-scale, high-dimensional, and multi-objective intelligent optimization problems
  • Intelligent optimization methods under uncertainty and dynamic environments
  • Constrained optimization and complex engineering optimization problems
  • Applications of intelligent optimization in engineering design and system control
  • Applications of intelligent optimization in scheduling, resource allocation, and decision support
  • Hybrid intelligent optimization algorithms and cross-paradigm methods
  • Applications of intelligent optimization in emerging fields (e.g., energy systems, intelligent manufacturing, smart cities)

Submission Deadline: April 20, 2026

 

Special Session Ⅵ: Integration and Innovation of Low-Altitude Economy and Artificial Intelligence

Session Chairs: Feifei Tang, Chongqing Jiaotong University, China

Jiaxin Li, Chongqing University of Posts and Telecommunications, China

Keywords: Low-altitude economy, Artificial intelligence, UAV, Intelligent transportation, Airspace management, Autonomous systems

Information: This session focuses on the intersection of low-altitude economy and artificial intelligence, exploring innovative applications and development trends of UAVs, air traffic, intelligent sensing, autonomous decision-making, and related technologies in low-altitude scenarios. It aims to bring together academic and industrial research to promote intelligent, safe, and industrialized low-altitude development, and to facilitate discussions on standards, policies, and business models. 

Below is an incomplete list of potential topics to be covered in the Special Session: 

  • Intelligent Navigation and Control of UAVs
  • Low-altitude Traffic Management and Intelligent Scheduling
  • AI Applications in Drone Logistics
  • Low-altitude Remote Sensing and Intelligent Perception
  • Airspace Safety and Intelligent Risk Assessment
  • UAV and 5G/6G Communication Integration
  • Intelligent Policies and Regulation for Low-altitude Economy
  • Swarm Intelligence and Cooperative Operation of UAVs
  • AI-driven Manned Low-altitude Aircraft
  • Low-altitude Data Platforms and Intelligent Decision Systems

Submission Deadline: April 20, 2026

 

Special Session Ⅶ: International Symposium on Robotic Systems and Intelligent Perception

Session Chairs: Kai Huang, Sun Yat-sen University, China

Mingyue Cui, Sun Yat-sen University, China

Keywords: Robots, Artificial Intelligence, Intelligent Perception, 3D Vision, Sensor, Control

Information: This topic focuses on core technology research and engineering practice in the field of robotics, covering areas such as perception, planning, control, verification, and integration. The topic revolves around core directions such as autonomous perception, motion planning, robotic arm manipulation, three-dimensional visual reconstruction, and simulation verification, and explores the intelligence, precision, and reliability improvement of robotic systems in dynamic and complex environments. Through theoretical innovation and algorithm optimization, promote full-link technological breakthroughs in robots from environmental understanding (such as SLAM mapping, target recognition), decision-making and planning (path generation, dynamic obstacle avoidance) to execution control (smooth operation, multi-machine collaboration). The topic focuses on the implementation of robotics technology in scenarios such as industrial automation, intelligent services, and precision testing, covering the entire process of hardware design, algorithm development, simulation verification, and system integration, aiming to build a bridge from theory to practical application of robotics technology.

Below is an incomplete list of potential topics to be covered in the Special Session: 

  • Robots
  • Computer science
  • Artificial intelligence and deep learning
  • Information extraction
  • Computer networks
  • Internet of Things
  • Computers and autonomous driving
  • Applications of computers in the industrial field
  • Bionics
  • New energy projects etc

Submission Deadline: April 20, 2026

Special Session Ⅷ: Synergistic Design and Application of Generative AI and Agent Systems

Session Chairs: Peng Wang, Hunan First Normal University, China

Xiaojie Zhang, Hunan First Normal University, China

Keywords: Generative AI, Intelligent Agents, Edge Intelligence, System Optimization, Bio-computing

Information: This special session targets a frontier topic in bio-computing: drug discovery. We focus on the empowering role of agent systems across the full drug R&D pipeline, covering key topics such as agent architecture design, multi-agent collaboration, reinforcement learning-driven molecular design, and AI-based virtual screening. While emphasizing the above algorithmic innovations, we also introduce edge and distributed computing from a system-implementation perspective, exploring efficient cloud–edge–end training and inference for large models and agents, cross-institution collaboration over biomedical data (e.g., federated and privacy-preserving learning), and resource orchestration with reliability guarantees for real-world drug discovery workflows. We welcome submissions from interdisciplinary communities including AI, distributed systems/edge intelligence, computational biology, and medicinal chemistry, to promote practical deployment and paradigm shifts of agent technologies in biopharmaceutical applications.

Below is an incomplete list of potential topics to be covered in the Special Session: 

  • Agent Architectures
  • Multi-Agent Collaboration
  • Generative AI
  • Bio-computing
  • Scenario Simulation
  • Reinforcement Learning
  • Federated Learning
  • Edge Intelligence

Submission Deadline: April 20, 2026

 

More conference sessions to be updated soon.