ICMLC 2026 will be held in Nanjing, China on February 06-09, 2026. The ICMLC 2026 organizing committees invite you to submit the papers to special session. Each special session will be arranged for around 2 hours on Feb. 07 or 08’s afternoon. Now the information on special session as following:

Special Session 1-Machine Learning Methods for Trustworthy and Secure AI Systems

Organizers | 组织者

As artificial intelligence systems are increasingly deployed in real-world applications such as healthcare, finance, and autonomous driving, ensuring their trustworthiness and security has become a critical concern. Machine learning models, while powerful, are often susceptible to adversarial attacks, data poisoning, privacy breaches, and fairness issues, which may hinder their safe and ethical deployment. Therefore, improving the trustworthiness and security of AI systems is essential for building reliable and responsible intelligent systems. This special session explores how machine learning methods can be leveraged to enhance the trustworthiness and security of AI systems. We welcome any submissions related to this topic, including but not limited to adversarial robustness, privacy-preserving learning, fairness-aware algorithms, interpretable models, safe reinforcement learning, robust training under distribution shifts, trustworthy federated learning, secure model deployment, and risk assessment in AI decision-making.

S1-Submission Link

Special Session 2-Advances in Medical Image Analysis: AI, Automation, and Clinical Applications

Introduction: Medical imaging plays a pivotal role in modern healthcare, serving as a critical tool for early diagnosis, treatment planning, and disease monitoring. With the rapid advancements in artificial intelligence, machine learning, and computer vision, the field of medical image analysis has witnessed transformative growth, enabling more accurate, efficient, and personalized patient care. This special session aims to bring together researchers, clinicians, and industry experts to discuss cutting-edge developments and real-world applications in medical image analysis. Topics will include, but are not limited to, deep learning-based segmentation and classification, multimodal image fusion, 3D reconstruction, explainable AI for clinical decision support, and integration of imaging data with electronic health records. The session will highlight how these innovations are bridging the gap between research and clinical practice, paving the way for smarter and more accessible diagnostic solutions.

S2-Submission

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Welcome to submit more proposal on ICMLC 2026 special session, please download:
 Proposals Submission Guidelines.

Learn more details or submit the proposal, please contact us:

Ms. Doris Ge
Email: icmlc@vip.126.com
Tel: +86-13709044746