The 2025 2nd International Conference on Machine Learning, Computational Intelligence and Pattern Recognition (MLCIPR 2025) [第二届机器学习、计算智能与模式识别国际学术会议] is scheduled to take place in Nanjing, China from December 19-21, 2025. Machine Learning, Computational Intelligence and Pattern Recognition is an interdisciplinary field that has emerged through the integration of various sciences such as computer science, cybernetics, neurophysiology, psychology, etc. It encompasses diverse areas including natural language understanding, machine theorem proving, automatic programming, game theory and decision making, artificial neural networks among others. This conference aims to bring together experts and scholars in this field to discuss current advancements, key challenges and future trends in Machine Learning, Computational Intelligence and Pattern Recognition. We cordially invite you to participate or contribute to this esteemed conference!

MLCIPR is an annual conference and we welcome experts and scholars from all over the world to participate and exchange ideas.

PUBLICATION

All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings by IEEE (ISBN：979-8-3315-7797-1), and submitted to IEEE Xplore, EI Compendex, Scopus for indexing.

CALL FOR PAPERS

Topics of interests are in the broad areas of advances in machine learning, computational intelligence and pattern recognition, including but not limited to:

· Machine Learning

Supervised Learning and Algorithm Optimization
Unsupervised and Self Supervised Learning
Deep Learning and Neural Networks
Transfer and Reinforcement Learning
Reinforcement Learning and Decision Systems
Big Data and Distributed Learning
Robustness and Interpretability
Multimedia Design and Generation
Network Security

· Computational Intelligence

Evolutionary Computation and Optimization
Group Intelligence and Collaboration System
Fuzzy Systems and Uncertainty Handling
Natural Inspired Algorithm
quantum computing
Intelligent optimization and decision-making
Neuromorphic computation
Intelligent optimization
AI and Robotics
Virtual reality

· Pattern Recognition

Image recognition and processing
Video Analysis and Understanding
target detection and tracking
Biometric and Behavioral Recognition
Document and Text Analysis
multilingual processing
Speech and Signal Processing
3D and Dynamic Pattern Recognition
Multi-sensor data fusion
Intelligent security and monitoring
medical imaging
Autonomous driving perception system
Smart Home and Human Computer Interaction