2026 International Conference on Deep Learning and Automation (ICDLA 2026) will take place in Guilin, China on August 4, 2026.
๐๐ผ๐ป๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ ๐ช๐ฒ๐ฏ๐๐ถ๐๐ฒ: https://ais.cn/u/umQ3qa
—๐๐ฎ๐น๐น ๐ณ๐ผ๐ฟ ๐ฝ๐ฎ๐ฝ๐ฒ๐ฟ๐—
The topics of interest include, but are not limited to:
โTrack1: Deep Learning Models and Algorithms
Recurrent Neural Networks
Sparse Coding
Neuro-Fuzzy Algorithms
Evolutionary Computation Methods
Convolutional Neural Networks
Deep Hierarchical Networks
Unsupervised Feature Learning
Deep Boltzmann Machines
Generative Adversarial Networks, Autoencoder
Deep Belief Networks
Meta-Learning and Deep Networks
Deep Reinforcement Learning
Deep Generative Model Learning
Deep Kernel Learning
Gaussian Processes in Machine Learning
Large-Scale Model Deployment
Lightweight Models
Generative Automation
Federated Intelligence
โTrack2: Intelligent Automation Systems
Scientific Research Agents
Industrial Intelligent Manufacturing
Intelligent Robotics
Automated Inspection
Cyber-Physical Systems
Unmanned Systems
Process Automation
Intelligent Sensing and Fusion
Automated Scheduling
Edge Intelligence
Human-Machine Collaborative Systems
Medical Automation
Energy Automation
Multimodal Automated Perception
Intelligent Decision-Making
Cross-Domain Automation
Real-Time Intelligent Scheduling
Trustworthy Automation Verification
Edge Collaborative Automation
Dynamic Scenario Automation
Human-Machine Collaborative Decision-Making
—๐ฃ๐๐ฏ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป—
All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of ICDLA 2026 will be published in ACM International Conference Proceedings Series, which will be archived in the ACM Digital Library, and indexed by EI Compendex, Scopus.
—๐๐บ๐ฝ๐ผ๐ฟ๐๐ฎ๐ป๐ ๐๐ฎ๐๐ฒ๐—
Full Paper Submission Date: July 10, 2026
Registration Deadline: July 24, 2026
Final Paper Submission Date: July 24, 2026
Conference Dates: August 4, 2026
— ๐ฃ๐ฎ๐ฝ๐ฒ๐ฟ ๐ฆ๐๐ฏ๐บ๐ถ๐๐๐ถ๐ผ๐ป—
Please send the full paper(word+pdf) to Submission System:
https://ais.cn/u/umQ3qa