

2027 International Conference on Artificial Intelligence, Agents, and Large Models
The 2027 International Conference on Artificial Intelligence, Agents, and Large Models (AIALM 2027) will be held on March 26–28, 2027, in Wuhan, Hubei, China. The conference focuses on three frontier research directions—artificial intelligence, intelligent agents, and large models—bringing together experts from universities, research institutes, and industry worldwide. Topics will center on AI and machine learning, intelligent agents and autonomous systems, large language and multimodal models, computer vision, image processing, intelligent sensing, and signal processing, with a focus on their emerging technologies and cross-domain applications. The conference aims to establish a high-level academic exchange platform, advance innovation in AI theories, key technologies, and engineering applications, and promote industry–academia–research collaboration.
Full Paper
Submission Date
January
26
2027
Notification
Deadline
February
26
2027
Registration
Deadline
March
12
2027
Conference
Dates
March
26-28
2027
The topics of interest for submission include, but are not limited to:
📚︎ Track 1. Artificial Intelligence
Machine Learning and Deep Learning
Generative Artificial Intelligence
Multimodal Artificial Intelligence
Reinforcement Learning and Adaptive Intelligence
Computer Vision and Pattern Recognition
Image Processing and Analysis
Intelligent Sensing and Signal Processing
Multisensor Data Fusion and Information Processing
Explainable and Trustworthy Artificial Intelligence
📚︎ Track 2. Intelligent Agents
Intelligent Agents and Agentic AI
Multi-Agent Systems and Collaborative Intelligence
Reasoning, Planning, and Decision-Making for Intelligent Agents
Knowledge-Enhanced and Tool-Augmented Agents
Human–AI Interaction and Collaboration
Embodied Intelligence
Autonomous Systems and Robotics
Intelligent Perception and Decision-Making
Vision-Based and Sensor-Based Intelligent Agents
📚︎ Track 3. Large Models
Large Language Models and Foundation Models
Large Multimodal Models
Vision-Language Models
Generative Models for Images, Signals, and Data
Retrieval-Augmented Generation and Knowledge-Enhanced Models
Model Adaptation, Fine-Tuning, and Transfer Learning
Large Models for Vision, Imaging, and Sensing
Large Models for Scientific and Engineering Applications
Multimodal Understanding and Generation
Please send the full paper (Word+PDF) to Submission System.
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.