Weiming Huang

Welcome! I am a Research Assistant at WISELab, CUHK-Shenzhen. I am fortunate to be advised by Prof. Junting Chen. Previously, I had the opportunity to intern at KAUST, working under Prof. Tareq Al-Naffouri in the Information Science Lab.

Before that, I earned B.Eng. in Intelligence Science and Technology from Shanghai University. During my undergraduate studies, I was mentored by Prof. Liyan Ma and Prof. Qinghua Huang.

My research aims to push the frontiers of AI through Physics-inspired Large Language Models. Currently, I focus on applying these techniques to wireless communications and acoustic sensing, with specific interests in:

• LLM-based Radio Map Learning and Applications
• Dynamic 3D Communications
• Sound Event Localization and Detection

selected projects

RadioFormer

RadioFormer: One Physics-Guided Transformer to Unify 2D and 3D Radio Map Construction. A unified, physics-guided framework for 2D/3D radio map construction that achieves SOTA accuracy and operates 2500× faster than diffusion models.

3D Radio Map Dataset

Addressing the lack of vertical data in current research, this dataset offers high-resolution 3D maps with rich attributes (RSS, DoA, AoA, ToA), enabling precise environmental perception for drone operations.