Call for Papers


The 3rd International Conference on Computer Network and Cloud Computing (ICCNCC 2026) cordially invites researchers from around the world to share their experiences and insights, fostering fruitful discussions. The ICCNCC conference series has successfully held two previous editions. With the support and acknowledgment of the delegates from past conferences, we strive to pioneer another outstanding academic event.

ICCNCC 2026 focuses on intelligent computing, networked systems, and data-driven technologies, with emerging applications in computer vision, computational imaging, intelligent perception, and sensing systems. We are now calling for high-quality submissions on topics including, but not limited to, those listed below. Submissions should present significant, original, and unpublished results:

Topics of Interest Topics include, but are not limited to:

  • Track 1: Intelligent Computing and Data-Driven Systems

    • Machine Learning and Deep Learning Methods 

    • Generative AI and Foundation Models 

    • Multimodal Learning and Representation Learning 

    • Reinforcement Learning and Decision Intelligence 

    • Explainable and Trustworthy AI 

    • Data Analytics and Knowledge Discovery 

    • Intelligent Modeling and Optimization 

    • AI-enabled Computational Methods 

    • Federated Learning and Privacy-Preserving AI 

    • Digital Twins and Intelligent Simulation

  • Track 2: Intelligent Perception, Computer Vision and Multimedia Analytics

    • Computer Vision and Image Understanding 

    • Image Processing and Analysis 

    • Multimodal Perception and Information Fusion 

    • Visual Recognition and Scene Understanding 

    • Video Analysis and Intelligent Multimedia Processing 

    • 3D Vision and Spatial Intelligence 

    • Vision-based Human–Computer Interaction 

    • AI for Imaging and Visual Data Analytics 

    • Intelligent Perception for Internet of Things 

    • Large-scale Visual Data Processing 

    • Data Masking and Privacy-Preserving Computation

  • Track 3: Computational Imaging, Sensing and Intelligent Information Processing

    • Computational Imaging and Image Reconstruction 

    • Intelligent Imaging Systems 

    • Multispectral and Hyperspectral Data Analysis 

    • Sensor Data Processing and Fusion 

    • Intelligent Sensing Technologies 

    • Imaging-based Detection and Recognition 

    • Remote Sensing Data Analytics 

    • Signal Processing for Intelligent Systems 

    • AI-assisted Image and Sensor Analysis 

    • Sensing and Communication Integration 

  • Track 4: Edge Intelligence, Networked Systems and Autonomous Computing

    • Edge Intelligence and Lightweight AI 

    • Cloud–Edge Collaboration 

    • Distributed Intelligent Computing 

    • Resource Optimization for Intelligent Systems 

    • Internet of Things and Cyber-Physical Systems 

    • Autonomous Systems and Networked Intelligence 

    • Real-time Data Processing 

    • Mobile and Embedded Intelligence 

    • Industrial Intelligent Systems 

    • Low-power AI Computing

  • Track 5: Intelligent Networks, Secure Computing and Trustworthy Systems

    • Intelligent Networks and Future Internet Architectures

    • 5G/6G and Beyond Communication Technologies

    • Integrated Sensing and Communication

    • Network Intelligence and Optimization

    • Network Resource Management

    • Programmable Networks and Network Automation

    • Cloud and Edge Security

    • Privacy-Preserving Machine Learning and Data Analytics

    • AI Security and Adversarial Learning

    • Trustworthy and Secure Intelligent Systems




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