◕ Track1: 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

◕Track2:  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