Fuhao Li 李傅豪

PhD student

The Hong Kong University of Science and Technology (Guangzhou)
China

Email: fli481@connect.hkust-gz.edu.cn

Biography

I am currently a first-year PhD student in Robotics and Autonomous Systems at The Hong Kong University of Science and Technology (Guangzhou), under the supervision of Prof. Haoang Li. I obtained my master's degree in Intelligent Manufacturing Engineering from Tsinghua University in June 2026, advised by Prof. Long Zeng, and my Bachelor of Engineering degree from Harbin Institute of Technology in June 2023.

Recently, my research interests lie in Embodied Intelligence and Autonomous Driving.

Selected Publications

(* indicates equal contributions)

	SLA: Scaling Spatial-Language-Action Model via Continual Pre-training Fuhao Li , Wenxuan Song , Qizhou Huang, Ziyang Zhou, Jingbo Wang, Junwu E, Pengwei Wang, Yan Wang, Shunbo Zhou, Haoang Li arXiv 2026 [paper] [project page] [github]
	Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model Fuhao Li , Wenxuan Song , Han Zhao, Jingbo Wang, Pengxiang Ding, Donglin Wang, Long Zeng, Haoang Li International Conference on Learning Representations (ICLR 2026) [paper] [project page] [github]
	NuGrounding: A Multi-View 3D Visual Grounding Framework in Autonomous Driving Fuhao Li , Huan Jin , Bin Gao, Liaoyuan Fan, Lihui Jiang, Long Zeng arXiv 2025 [paper]
	DSM: Constructing a Diverse Semantic Map for 3D Visual Grounding Qinghongbing Xie , Zijian Liang , Fuhao Li, Long Zeng IEEE Robotics and Automation Letters (RAL 2026) [paper] [project page]
	THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Zeshun Li , Fuhao Li , Wanting Zhang , Zijie Zheng, Xueping Liu, Yongjin Liu, Long Zeng Scientific Data 2026* [paper] [project page]
	Dual-Alignment Domain Adaptation for Pedestrian Trajectory Prediction Wenzhan Li , Fuhao Li , Xinghui Jing, Pingfa Feng, Long Zeng IEEE Robotics and Automation Letters (RAL 2024) [paper] [github]
	A Two-Stage Reinforcement Learning Approach for Robot Navigation in Long-range Indoor Dense Crowd Environments Xinghui Jing , Xin Xiong , Fuhao Li, Tao Zhang, Long Zeng International Conference on Intelligent Robots and Systems (IROS 2024) [paper]

Education

The Hong Kong University of Science and Technology (Guangzhou), China

PhD in Robotics and Autonomous Systems

Advisor: Prof. Haoang Li

Sep. 2026 - Present

Tsinghua University, China

Master of Intelligent Manufacturing Engineering

Advisor: Prof. Long Zeng

Sep. 2023 - Jun. 2026

Harbin Institute of Technology, China

Bachelor of Mechanical and Electrical Engineering

Sep. 2019 - Jun. 2023

Experience

(Research Assistant) IRPN Lab

Aug.2025 - Jan.2026, HKUSTgz, GuangZhou, China

Topic: Embodied AI, Vision-language-action model
Advisor: Prof. Haoang Li

(Internship) Huawei Noah’s Ark Lab

July2024 - Apr.2025, Huawei Technologies, ShenZhen, China

Topic: Autonomous Driving, 3D Visual Grounding

ROBOMASTER

Sept.2020 - Aug.2022, HITCRT, Harbin, China

Topic: Mechanical Design, Electric Control

	SLA: Scaling Spatial-Language-Action Model via Continual Pre-training Fuhao Li , Wenxuan Song , Qizhou Huang, Ziyang Zhou, Jingbo Wang, Junwu E, Pengwei Wang, Yan Wang, Shunbo Zhou, Haoang Li arXiv 2026 [paper] [project page] [github]
	Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model Fuhao Li , Wenxuan Song , Han Zhao, Jingbo Wang, Pengxiang Ding, Donglin Wang, Long Zeng, Haoang Li International Conference on Learning Representations (ICLR 2026) [paper] [project page] [github]
	NuGrounding: A Multi-View 3D Visual Grounding Framework in Autonomous Driving Fuhao Li , Huan Jin , Bin Gao, Liaoyuan Fan, Lihui Jiang, Long Zeng arXiv 2025 [paper]
	DSM: Constructing a Diverse Semantic Map for 3D Visual Grounding Qinghongbing Xie , Zijian Liang , Fuhao Li, Long Zeng IEEE Robotics and Automation Letters (RAL 2026) [paper] [project page]
	THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots Zeshun Li , Fuhao Li , Wanting Zhang , Zijie Zheng, Xueping Liu, Yongjin Liu, Long Zeng Scientific Data 2026* [paper] [project page]
	Dual-Alignment Domain Adaptation for Pedestrian Trajectory Prediction Wenzhan Li , Fuhao Li , Xinghui Jing, Pingfa Feng, Long Zeng IEEE Robotics and Automation Letters (RAL 2024) [paper] [github]
	A Two-Stage Reinforcement Learning Approach for Robot Navigation in Long-range Indoor Dense Crowd Environments Xinghui Jing , Xin Xiong , Fuhao Li, Tao Zhang, Long Zeng International Conference on Intelligent Robots and Systems (IROS 2024) [paper]