Wei Li (李巍)

I am Wei Li, a second-year Ph.D. student in the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), advised by Prof. Rui Shao. My research interests include Computer Vision, Vision-Language Models, and Vision-Language–Action Models.

Email: liwei2024@stu.hit.edu.cn  /  Google Scholar  /  Github  

Selected Publications

We presented CogVLA, a cognition-aligned and instruction-driven Vision-Language-Action framework designed to address the computational inefficiencies and semantic fragmentation in existing VLA models

SemanticVLA formulates vision–language–action learning as a semantic selection–fusion–action coupling process, providing an interpretable and efficient pathway from multimodal perception to robotic action.

LION-FS adopts a two-stage optimization strategy: 1) Fast Path: Routing-Based Response Determination evaluates frame-by-frame whether an immediate response is necessary. 2) Slow Path: Multi-granularity Keyframe Augmentation optimizes keyframes during response generation.

This survey provides the first systematic, taxonomy-oriented review of large VLM-based VLA models for robotic manipulation.

SCOOT unifies self-supervised appearance learning, textual-visual feature fusion, and reconstruction-driven association to advance open-set object tracking.

Education & Experience

Academic Services

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