Research Field: Embodied AI, World Model, Generative AI, Multi-agent Learning, AI Robotic Learning , Multi-agent Learning for Science , AI Scientist Learning

Research Field: Core Research Interests:Large language models and alignment, Single-cell foundation models, Virtual-cell modeling and simulation, Scientific machine learning; Interdisciplinary Research Fields: AI for single-cell omics, computational biology, and virtu

Research Field: Core Research Interests: Low Power AI Processor Design, Co-Design of AI Algorithms and Processors

Research Field: Machine Learning Systems (MLSys), Agentic AI & Multi-agent Systems, LLM Inference Acceleration, AI for Energy and Transportation Networks

Research Field: Computer Vision, Embodied AI, Machine Learning, Artificial Intelligence

Research Field: Spatio-temporal data deep learning, Spatio-temporal large models and foundational pre-training models, graph data mining, Spatio-temporal data generative learning, reinforcement learning and imitation learning，Smart cities and intelligent transportation

Research Field: Distributed optimization methods, larger scale mobile network optimization，AI+ mobile networks, Communication network world model, AI-RAN

Research Field: Fundamental Machine Learning、Generative Models、Large Language Models、Embodied Intelligence and Multi-Agent Systems、Open Exploration

Research Field: 1.Multimodal Learning, Efficient Deep Learning, AI Security，AI+Medical Engineering