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Special Sessions

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: August 30, 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 30, 2026

 

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

Session Chairs: 

Dong Zhang, Beijing University of Chemical Technology, China

Wenbai Chen, Beijing Information Science and Technology University, 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: August 30, 2026

 

Special Session Ⅳ: Research on Key Technologies of Humanoid Robotics

Session Chairs: 

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 30, 2026

 

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

Session Chairs: 

Shuyi Li, Beijing University of Technology, China

Tao Zhang, Beijing Information Science and Technology University, 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 30, 2026

 

Special Session Ⅵ: Frontiers in AI for Remote Sensing: Image Processing and Target Detection

Session Chairs: 

Lu Li, Beijing Information Science and Technology University, China

Fan Zhang, Beijing Univeristy of Chemical Technologyy, China

Key Words: Optical/SAR Remote Sensing Images, Object Detection, Semantic Segmentation, Multi-source Image Fusion, Change Detection, Anomaly Detection, Remote Sensing Interpretation

Information: With the rapid development of artificial intelligence technology, remote sensing image processing is moving from traditional manual interpretation and shallow machine learning methods to a new stage of intelligent analysis based on deep learning. This session focuses on the forefront of intelligent remote sensing image processing and object detection, focusing on efficient interpretation and intelligent understanding of multi-source remote sensing data (including optical images, synthetic aperture radar SAR images, etc.), and systematically exploring the technological frontiers of remote sensing image object detection, semantic segmentation, image fusion, change detection, anomaly detection, etc.

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

  • Remote sensing object detection and semantic segmentation: multi-scale, rotational, and small object detection in optical/SAR images; Pixel level semantic segmentation based on deep learning; Weak supervision/few sample segmentation and detection.

  • Change detection and anomaly detection: Dual temporal and time series change detection (buildings, land cover, disasters, etc.); Based on autoencoder GAN、 Unsupervised anomaly detection in diffusion models; Anti interference robust detection method.

  • Multi source fusion and cutting-edge applications: Optical SAR image feature level/decision level fusion; The application of large-scale models and interpretable AI in remote sensing; Real scenario cases such as disaster assessment, emergency response, and urban monitoring.

DDL: August 30, 2026

 

Special Session Ⅶ: Multimodal Information Perception and Human- Machine Interaction

Session Chairs: 

Lin Gan, Northwestern Polytechnical University, China

Zhongjie Li, Northwestern Polytechnical University, China

Key Words: Visual, Auditory, Brain, Information, Perception, Human-Machine Integration

Information: This special session focuses on the forefront technologies related to human-machine multimodal information fusion perception. For example, constructing data fusion models based on visual and auditory perception mechanisms.

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

  • Visual and auditory perception and human-machine interaction modes

  • Human-machine integrated information perception

DDL: September 15, 2026

 

Special Session Ⅷ: Advances in Image Computing

Session Chair: 

Huanjie Tao, Northwestern Polytechnical University, China

Key Words: Image Classification, Image Recognition, Image captioning  Image Segmentation, Image Reconstruction

Information: Image Computing refers to the technology that utilizes computer to process, analyze, and understand image data, aiming to extract meaningful information, achieve specific functions, or solve practical problems.
With the development of deep learning and large models, image computing technologies have made significant progress. This session highlights advances and applications in image computing research.

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

  • Image generation

  • Multimodal image fusion

  • Large model-based image computing methods

  • Image segmentation

  • Image object detection

  • Image enhancement

  • Image super-resolution

  • Image restoration

  • Image feature learning

  • Medical image processing

DDL: September 15, 2026

 

Special Session Ⅸ: Motion Decision-making of Unmanned Equipment Driven by Deep Intelligence

Session Chair: 

Jinghui Peng, Anhui Polytechnic University, China

Key Words: Unmanned Equipment, Deep Intelligence, Motion Planning, Decision Control, Intelligent Driving, Interpretability

Information: With the development of deep intelligence technology and the wide application of unmanned equipment, the motion decision-making of unmanned equipment driven by deep intelligence has become a mainstream approach. To better present the latest research achievements in this field, this special topic focuses on the application of deep intelligence in unmanned vehicles, unmanned aircraft, unmanned boats, and unmanned clusters.

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

  • Motion control of unmanned equipment driven by large models

  • End-to-end decision generation for unmanned equipment with deep intelligence

  • Trustworthy decision-making methods for unmanned equipment facing deep intelligence black boxes

  • Autonomous cluster collaboration and decision-making methods

  • Heterogeneous collaborative control of unmanned vehicles, boats and aircraft

  • Not limited to the above topics.

DDL: October 15, 2026

 

Special Session Ⅹ: Macro-Micro-Nano Robotic Actuation and Intelligent Sensing

Session Chairs: 

Guangda Qiao, Soochow University, China

Hengyu Li, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, China

Information: This session focuses on precision actuation, intelligent sensing, and embodied intelligence for macro-micro-nano robotic systems. Topics include cross-scale actuation, flexible sensing, integrated actuation and sensing, multimodal perception, and intelligent manipulation, with an emphasis on enabling high-precision motion, real-time perception, and autonomous interaction in complex environments.

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

  • Robotics

  • Intelligent Sensing

  • Precision Actuation

  • Flexible Sensing

  • Embodied Intelligence

  • Integrated Actuation and Sensing

Invited Speakers:

Honghao Lyu
Zhejiang University, China		 Xiaoming Liu
Beijing Institute of Technology, China		 Shijing Zhang
Harbin Institute of Technology, China		 Jing Li
Harbin Institute of Technology, China		 Xuefeng Ma
Harbin Institute of Technology, China		 Yang Yu
University of Chinese Academy of Sciences, China
Qingbing Chang
Northeast Forestry University, China		 Pengfei Du
Northeast Forestry University, China		 Yuming Feng
Northeast Forestry University, China		 Meng He
Suzhou University of Science and Technology, China		 Jinzhi Zhu
Anhui Science and Technology University, China		 Xinyu Guo
Zhejiang University, China
   
Zimo Cai
Zhejiang University, China		 Shiquan Liu
Zhejiang University, China		 Jiacheng Sun
Zhejiang University, China		 Xinjian Fan
Soochow University, China		    

DDL: October 15, 2026

 

Special Session XI: Multimodal Perception and Manipulation Skill Learning for Embodied Intelligent Robots in Task-Oriented Scenarios

Session Chair: 

Jingzhou Song, Beijing University of Posts and Telecommunications, China

Key Words: Embodied Intelligence, Multimodal Perception, Robotic Manipulation, Skill Learning, Vision-Language-Action Models, Reinforcement Learning

Information: This special session focuses on multimodal perception and manipulation skill learning for embodied intelligent robots in real-world task-oriented scenarios. Topics of interest include multimodal fusion of vision, force and tactile sensing, environment and task understanding, robotic skill learning and generalization, Vision-Language-Action models, imitation learning, reinforcement learning, and autonomous perception, decision-making and manipulation in applications such as 3C assembly, aerospace, power operation and maintenance, and industrial manufacturing.

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

  • Multimodal Vision, Force and Tactile Perception for Embodied Robots

  • Object Recognition, Pose Estimation and Scene Understanding for Robotic Manipulation

  • Robot Manipulation Skill Learning via Demonstration and Imitation Learning

  • Reinforcement Learning for Robotic Manipulation and Policy Optimization

  • Vision-Language-Action Models and Foundation Models for Embodied Intelligence

  • Precision Manipulation, Assembly, Insertion and Dexterous Robotic Operations

  • Robot Skill Transfer, Generalization and Sim-to-Real Learning

  • Embodied Robotic Applications in 3C, Aerospace, Power and Industrial Scenarios

DDL: September 25, 2026

 

Special Session XII: Agent Interconnection and Collaboration Intelligence

Session Chairs: 

Keliang Chen, Beijing University of Posts and Telecommunications, China

Jun Liu, Beijing University of Posts and Telecommunications, China

Ke Yu, Beijing University of Posts and Telecommunications, China

Ke Li, Beijing University of Posts and Telecommunications, China

Key Words: Multi-Agent Systems, Agent Collaboration, Distributed Intelligence, Agent Communication

Information: This special session focuses on the cutting-edge theories and key technologies of agent interconnection and collaborative intelligence. Centering on core areas such as multi-agent communication protocols, cooperative mechanisms, distributed decision-making, and emergent collective behaviors, it discusses their practical applications in intelligent manufacturing, autonomous systems, smart cities, and large model-driven agent ecosystems, so as to promote the deep integration of multi-agent systems and real-world engineering practice.

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

  • Multi-Agent System Architectures, Communication Protocols, and Interoperability Standards

  • Agent Collaboration Mechanisms, Distributed Consensus, and Collective Decision-Making

  • Large Model-Driven Agent Interconnection, Agent Swarms, and Emergent Intelligence

  • Secure and Trustworthy Agent Communication, Privacy-Preserving Collaboration, and Adversarial Resilience

  • Applications of Agent Interconnection in Scientific Research, Education and Teaching, Intelligent Manufacturing, Medical Diagnosis, Autonomous Driving, Smart Logistics, and Robotic Coordination

DDL: October 15, 2026

 

Special Session XIII: Artificial Intelligence and Mixed Reality for Intelligent Medical Navigation and Clinical Applications

Session Chair: 

Zeyang Zhou, Tianjin University, China

Key Words: Medical Image Analysis, Surgical Navigation, Multimodal Information Fusion, Spatial Registration, Intelligent Healthcare, Human–Computer Interaction, Digital Twins

Information: The rapid development of artificial intelligence and mixed reality is transforming clinical practice from conventional two-dimensional image viewing and experience-based decision-making toward intelligent perception, three-dimensional visualization, spatial information fusion, and interactive decision support. By integrating medical image analysis, three-dimensional reconstruction, spatial registration, intraoperative perception, and mixed-reality visualization, patient-specific medical images, anatomical structures, lesions, and surgical plans can be intuitively overlaid onto the real clinical environment, providing clinicians with more precise, natural, and efficient support.
This special session will focus on key technologies and clinical applications at the intersection of artificial intelligence and mixed reality for intelligent medical navigation and clinical assistance. It will bring together researchers from artificial intelligence, medical imaging, mixed reality, computer vision, biomedical engineering, and clinical medicine to discuss medical image understanding, patient-specific three-dimensional modeling, multimodal image fusion, virtual–real spatial registration, dynamic intraoperative navigation, human–computer interaction, and clinical system integration.
The session will emphasize how artificial intelligence can improve the perception, understanding, and decision-making capabilities of mixed-reality medical systems. Topics will include automated recognition of anatomical structures and lesions, generation of patient-specific three-dimensional models, accurate alignment between preoperative images and the physical patient, dynamic updating of intraoperative navigation information, and natural presentation of clinically relevant information.
The session will also address applications of mixed reality in neurosurgery, minimally invasive intervention, orthopedics, hepatobiliary surgery, oral and maxillofacial surgery, medical education, and telemedicine. The broader objective is to promote the transition of relevant research from isolated algorithmic validation and laboratory prototypes toward integrated systems and clinically meaningful applications.

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

  • Intelligent medical systems integrating artificial intelligence and mixed reality

  • Medical image segmentation, detection, recognition, and intelligent diagnosis

  • Patient-specific three-dimensional anatomical modeling

  • Three-dimensional reconstruction and visualization of medical images

  • Multimodal medical image fusion and spatial registration

  • Spatial alignment between virtual medical information and the physical patient

  • Mixed-reality surgical navigation and interventional navigation

  • Augmented-reality-assisted diagnosis and clinical decision support

  • Dynamic updating of navigation information based on intraoperative imaging

  • Navigation compensation under tissue deformation and physiological motion

DDL: September 30, 2026

 

Special Session XIV: Applications of Artificial Intelligence in Agriculture‑Forestry, Geology and Chemical Engineering

Session Chairs: 

Sheng Wang, Beijing Forestry University, China

Yi Xia, Beijing Forestry University, China

Fengyu Xian, Beijing Forestry University, China

Shulong Li, Beijing Forestry University, China

Jian Zhao, Beijing Forestry University, China

Wenhao Liu, Henan Normal University, China

Key Words: Intelligent Perception, Remote Sensing, Information Processing, Large Model, Artificial Intelligence, Multimodal Learning, Computer Vision (CV), Deep Learning (DL)

Information: With the rapid development and in‑depth cross‑domain integration of artificial intelligence technologies, their innovative applications in key industries such as agriculture‑forestry, geology and chemical engineering have become an important research direction. This special session focuses on cutting‑edge technologies of artificial intelligence, deep learning and large models, and discusses theoretical approaches and engineering practices in scenarios including agricultural‑forestry monitoring, geological disaster prevention and control, chemical detection and industrial intelligence. It aims to advance the deep integration and collaborative innovation between intelligent technologies and multi‑sector industrial demands.

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

  • Theories and Methods of Deep Learning and Large Models in Visual Perception

  • Image Understanding, Feature Extraction and Representation Learning

  • Multimodal Data Fusion and Intelligent Interpretation

  • Object Detection, Recognition and Spatiotemporal Information Analysis

  • Agricultural‑forestry Resource Monitoring, Ecological Protection and Smart Agriculture Applications

  • Geological Disaster Identification, Early Warning and Spatiotemporal Data Analysis Methods

  • Chemical Detection, Industrial Vision and Intelligent Quality Control

  • Cross‑domain Intelligent Systems, Decision Optimization and Engineering Implementation

  • Robot Vision, Autonomous Perception and Intelligent Decision‑making

DDL: October 15, 2026