Fuhao Li 李傅豪

Master’s student

Tsinghua University
China

Email: lfh23@mails.tsinghua.edu.cn

Biography

I am currently a second-year Master’s student at the Tsinghua University, under the supervision of Prof. Long Zeng. I obtained my Bachelor of Engineering degree from the Harbin Institute of Technology.

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

I am actively pursuing 2026 fall PhD opportunities and welcome inquiries from those interested in collaborative academic endeavors. Please feel free to contact me for further discussion.

Selected Publications

(* indicates equal contributions)

	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 arXiv 2025 [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 arXiv 2025 [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 arXiv 2024* [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

Tsinghua University, China

Master of Intelligent Manufacturing Engineering

Advisor: Prof. Long Zeng

Sep. 2023 - Present

Harbin Institute of Technology, China

Bachelor of Mechanical and Electrical Engineering

Sep. 2019 - Jun. 2023

Experience

(Research Assistant) IRPN Lab

Aug.2025 - Present, 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

	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 arXiv 2025 [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 arXiv 2025 [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 arXiv 2024* [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]