Large Language Models and Reliable Reasoning
Focus on reasoning stability, knowledge consistency, and interpretability for large models.
Research
Core research directions of the lab.
Computer Vision and Open-World Agents
Research on CV, foundation models, multimodal learning, reinforcement learning, LLM reasoning, and open-world agents.
Knowledge Discovery and Trustworthy Reasoning
Study rule learning, knowledge abstraction, and trustworthy inference mechanisms.
Parameter Fusion and Efficient Model Adaptation
Research efficient adaptation methods such as model fusion, task arithmetic, and parameter-space alignment.
Generative Models and Multimodal Content Generation
Focus on text-to-motion, cross-modal generation, and evaluation methodologies for generative models.
Aerial Intelligence and Human-Computer Interaction
Research on multimodal aerial intelligence, human-computer interaction (guide robot dog) and cognitive heuristic methods.
Affective Computing and Cognitive Intelligence
Explore affective understanding, digital human generation, and cognition-related intelligent applications.