1. Research on Basic Model Theory
Basic Model Framework
Model Training and Optimization
Distributed Computing
High performance computing optimization
Data Management and Efficient Access
Optimization of Large Model Compilation
Multimodal fusion
Reinforcement Learning
Pre training
2. Basic Model Application
Image Classification and Object Detection
Image generation and editing
Multimodal understanding
Deep reasoning
Urban computing
Spatio-temporal data mining
Natural language processing
Visual Language Model
3. Embedded system
Power/thermal sensing design issues
Fault tolerance and security
Sensor based systems and applications
Heterogeneous multi-core embedded systems
Operating System and Scheduling
Embedded software and compiler
Design Methods for Embedded Systems and Information Physical Systems
Reconfigurable computing architecture and software support
Embedded System Architecture
Ubiquitous distributed embedded systems and networks