Research Field: Core Research Interests: Neurodynamic models and adaptation, connectome-constrained neural networks, neural coding mechanisms of biological visual perception (super-resolution, motion detection, small-target perception and tracking)

Research Field: Core Research Interests: AI for Science, Embodied Intelligence in Scientific Scenarios, Computer Vision, Machine Learning; Interdisciplinary Research Fields: AI + Earth Science, AI + Power Grid

Research Field: 多模态大模型、具身智能、智能体

Research Field: Optimizer for LLMs, Multi-task / Continual Learning, Model Merging, Distributed Learning，Generative Reinforcement Learning, Decision Foundation Models, Reinforcement Learning and LLM based Multi-Agent Systems，Statistical Generalization Theory, Optimizati

Research Field: Machine Learning Systems, Embodied Intelligence, VLSI, EDA