About ICMLM 2027
The 2027 International Conference on Machine Learning and Large-scale Models (ICMLM 2027) will be held from January 22 to 24, 2027, in Nanjing, China. ICMLM 2027 aims to establish a multidisciplinary and cross-domain communication platform to promote the deep integration of theoretical research and engineering practice, fostering innovative development and widespread application of large-scale model technologies. The conference welcomes high-quality paper submissions from academia, industry, and research institutions to collectively discuss future trends and challenges in machine learning and large-scale models, jointly ushering in a new era of intelligent technology. Through keynote speeches, oral presentations, and poster sessions, the conference provides participants with opportunities to learn about cutting-edge developments, deepen professional exchanges, and initiate collaborations. We look forward to enthusiastic submissions and participation from experts and scholars in both academia and industry to advance progress and development in the relevant fields.
Important Dates
 | Full Paper Submission Date September 4, 2026 |  | Notification Deadline October 20, 2026 |
 | Final Paper Submission Date October 30, 2026 |  | Registration Deadline November 6, 2026 |
Countdown
Conference Topics
Machine learning
Deep Learning; Neural Networks; Visual Feature Learning; Object Detection and Image Segmentation Algorithms; Multimodal Visual Information Fusion; 3D Vision and Point Cloud Data Learning; Machine Learning Applications in Medical Imaging; Visual Perception under Multi-sensor Fusion; Self-supervised Learning; Reinforcement Learning and Multi-agent Systems; Transfer Learning and Lifelong Learning; Federated Learning and Privacy Protection; Automated Machine Learning (AutoML); Neural Architecture Search (NAS); Adversarial Machine Learning; Model Interpretability; Model Robustness and Security; Quantum Machine Learning
Large Model Technologies
Generative Large-scale Models; Visual Pretrained Model Architectures; Large-scale Models Integrating Visual and Optical Sensing; Pretrained Language Models; Multimodal Fusion; Training and Optimization of Large-scale Models; Large-scale Distributed Training; Model Compression; Hardware Acceleration and Heterogeneous Computing; Interpretability and Robustness Analysis of Visual Large-scale Models
Application Practices of Machine Learning and Large Models
Image Enhancement and Restoration Technologies; Object Detection and Semantic Segmentation; 3D Reconstruction and Volumetric Imaging; Multispectral and Hyperspectral Image Analysis; Visual Processing and Analysis of Medical Imaging; Autonomous Driving and Robotic Visual Perception; Natural Language Processing; Computer Vision; Speech Recognition; Speech Synthesis; Multimodal Interaction; Bioinformatics
Sponsored
 |
Co-sponsored
 |
Supported
中国自动化学会联邦数据与联邦智能专委会 |
Publication
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
Contact
Conference Secretary: Mr. Nip
Tel: +86-19221685399 (Wechat)
E-Mail: icicmlm@163.com
If you have any questions or inquiries, please feel free to contact us.