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Special Session

Special Session Ⅰ: Deep Learning-Driven Machine Vision Technology and Applications

Session Chairs: 

Haijiang Zhu,Beijing University of Chemical Technology, China

Dazi Li, Beijing University of Chemical Technology, China

Key Words: Deep Learning, Machine Vision

Information: This special session focuses on the cutting-edge theories and key technologies of deep learning-driven machine vision. Centering on core areas such as image perception, object detection, segmentation and recognition, it discusses their practical applications in intelligent manufacturing, industrial inspection, autonomous driving and other fields, so as to promote the deep integration of visual intelligence and engineering practice.

The topics to be covered include, but are not limited to:

  • Deep Learning-Based Object Detection, Image Segmentation, Feature Extraction and Visual Representation Learning

  • Industrial Vision Inspection, Surface Defect Recognition, Quality Inspection and Precision Vision Measurement

  • Robot Vision, Visual Localization and Autonomous Perception for Intelligent Manufacturing

DDL: June 8, 2026

 

Special Session Ⅱ: AI-Empowered Change Control for Product Supply Chain Systems Subject to Security Threats

Session Chairs: 

Qingkui Li,Beijing Information Science and Technology University, China

Xiaoyan Sun, Jiangnan University, China

Key Words: Product and Supply Chain Systems, Change Control, Security Threats

Information: In today's deeply globalized and digitally integrated environment, product supply chains serve as critical infrastructure supporting enterprise operations. These complex systems face increasingly severe and multidimensional security challenges—including physical disruptions, sophisticated cyberattacks, software vulnerabilities, and risks stemming from third-party suppliers. Traditional security approaches often fall short in addressing the scale of heterogeneous data, the complexity of concealed threats, and the pressing need for real-time response. This workshop delves into the transformative role of Artificial Intelligence (AI) in strengthening the security posture of product supply chains, aiming to establish a professional platform for in-depth technical exchange and evidence-based research.

The topics to be covered include, but are not limited to:

  • Paradigm Shift in Supply Chain Security

  • Core Technical Application Domains

  • Implementation Strategy & Architecture

  • Critical Challenges & Research Frontiers

DDL: August 15, 2026

 

Special Session Ⅲ: Vision-Driven Embodied Intelligence for Robot Navigation and Manipulation

Session Chairs: 

Dong Zhang, Beijing University of Chemical Technology, China

Key Words: Embodied Intelligence, Robot Navigation, Robot Manipulation, Visual Perception, Semantic Segmentation

Information: With the rapid development of embodied intelligence, robots are expected to perceive, understand, and interact with complex environments in an autonomous and adaptive manner. Vision-driven embodied intelligence has become a key paradigm for integrating perception and action in robotics. This special session focuses on the latest theories and technologies in robot navigation, manipulation, image understanding, and semantic scene perception. It aims to promote the integration of visual perception, semantic reasoning, and action planning for intelligent robotic systems in real-world applications.

The topics to be covered include, but are not limited to:

  • Vision-Based Robot Navigation and Autonomous Exploration

  • Robotic Manipulation and Motion Planning in Unstructured Environments

  • Object Detection, Recognition, and Semantic Segmentation for Robotics

  • Visual-Language-Action Models for Embodied Robotics

  • Perception-Driven Decision-Making and Task Planning

  • Multi-Modal Perception and Scene Understanding

  • Human-Robot Interaction and Adaptive Manipulation

DDL: June 30, 2026

 

Special Session Ⅳ: Research on Key Technologies of Humanoid Robotics

Zhengcai Cao, Harbin Institute of Technology, China / Beijing University of Chemical Technology, China

Junnian Li, Beijing University of Chemical Technology, China

Key Words: Artificial Intelligence, Embodied Intelligence, Environmental Cognition, Locomotion Controln, Human-robot interaction

Information: Humanoid robots have become one of the most challenging research directions in the field of robotics. With the accelerated evolution of related technologies, they have emerged as a new frontier in technological competition, a new track for future industries, and a new engine for economic development. This topic focuses on key technologies such as mechanism design, training data generation, environmental cognition, locomotion control, and human–robot interaction for humanoid robots, aiming to promote the iterative upgrading of embodied-intelligence humanoid robots.

The topics to be covered include, but are not limited to:

  • Mechanical Design, Environmental Cognition, Motion Control, and Human–Robot Interaction for Humanoid Robots

  • Key Technologies for Embodied-Intelligence Humanoid Robots

  • Swarm Intelligence of Humanoid Robots

  • Training Data Generation for Humanoid Robots

DDL: August 15, 2026

 

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

Session Chairs: 

Shuyi Li, Beijing University of Technology, China

Key Words: 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. 

The topics to be covered include, but are not limited to:

  • 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

DDL: August 15, 2026

Special session will be updated soon.