Zeying Gong

Zeying Gong

I am a second-year PhD student at Hong Kong University of Science and Technology, Guangzhou, under the primary supervision of Prof. Junwei Liang, and co-supervision of Prof. Yingcong Chen. During my master's studies, I was co-supervised by Prof. Liuqing Yang.

Prior to this, I have spent over a year as a 5G network engineer at Huawei. There, I served as one of the technical leaders for the delivery of High-speed Railway 4G & 5G base station project in Jiangxi Province. I earned the bachelor's degree in Electronic Information Science and Technology from Sun Yat-sen University, supervised by Prof. Bin Rao.

My research interest is Embodied AI, especially Navigation.

Email / Scholar / Github / Resume

News
12/2025	🎉 One paper accepted to RAL 2026. [ ASCENT ] [ 视觉语言导航 ]
10/2025	🚀 Co-hosted the RoboSense Challenge (Track 2) in IROS 2025. [ Challenge ] [ Track 2 ]
01/2025	🎉 One paper accepted to ICRA 2025. [ Falcon ] [ 量子位 ]

Publications My research seeks to create intelligent navigation systems that enable robots to operate safely and efficiently in human-centric environments. I focus on leveraging the foundations in Vision-Language Models (VLM) and Large Language Models (LLM) to develop robotic generalists in real-world scenarios. The following are my representative papers.
	Stairway to Success: An Online Floor-Aware Zero-Shot Object-Goal Navigation Framework via LLM-Driven Coarse-to-Fine Exploration Zeying Gong, Rong Li, Tianshuai Hu, Ronghe Qiu, Lingdong Kong, Lingfeng Zhang, Guoyang Zhao, Yiyi Ding, Junwei Liang RAL, 2026 [ Paper ] [ Home ] [ Code ] [ 视觉语言导航 ] An LLM-driven hierarchical navigation framework that enables robots to navigate multi-floor buildings and find target objects through coarse-to-fine exploration strategy.
	From Cognition to Precognition: A Future-Aware Framework for Social Navigation Zeying Gong, Tianshuai Hu, Ronghe Qiu, Junwei Liang ICRA, 2025 [ Paper ] [ Home ] [ Code ] [ 量子位 ] A future-aware social navigation framework that predicts human intentions and proactively plans collision-free paths in crowded environments.
	The RoboSense Challenge: Sense Anything, Navigate Anywhere, Adapt Across Platforms Lingdong Kong, Shaoyuan Xie, Zeying Gong, Ye Li, Meng Chu, Ao Liang, Yuhao Dong, Tianshuai Hu, Ronghe Qiu, Rong Li, Hanjiang Hu, Dongyue Lu, Wei Yin, Wenhao Ding, Linfeng Li, Hang Song, Wenwei Zhang, Yuexin Ma, Junwei Liang, et al. IROS Technical Report, 2025 [ Paper ] [ Challenge ] [ Track 2 ] [ Code ] A large-scale international robotics challenge focusing on generalizable perception and navigation. Co-organized and hosted Track 2 on social navigation at IROS 2025.
	Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future Tianshuai Hu, Xiaolu Liu, Song Wang, Yiyao Zhu, Ao Liang, Lingdong Kong, Guoyang Zhao, Zeying Gong, Jun Cen, Zhiyu Huang, Xiaoshuai Hao, Linfeng Li, Hang Song, Xiangtai Li, Jun Ma, Shaojie Shen, Jianke Zhu, Dacheng Tao, Ziwei Liu, Junwei Liang Preprint, 2025 [ Paper ] [ Home ] [ Code ] A comprehensive survey on vision-language-action models for autonomous driving, covering past developments, current state-of-the-art, and future directions.
	SocialNav-Map: Dynamic Mapping with Human Trajectory Prediction for Zero-Shot Social Navigation Lingfeng Zhang, Erjia Xiao, Xiaoshuai Hao, Haoxiang Fu, Zeying Gong, Long Chen, Xiaojun Liang, Renjing Xu, Hangjun Ye, Wenbo Ding Preprint, 2025 [ Paper ] [ Code ] A dynamic mapping framework that integrates human trajectory prediction for zero-shot social navigation in crowded environments.
	BUMP: A Boundary-Aware Active Learning Framework for Point Cloud Semantic Segmentation Leying Zhang, Yan Liu, Zeying Gong, Zhang Peng ICDIP, 2025 [ Paper ] A boundary-aware active learning method that enhances sparse-supervised point cloud semantic segmentation via geometric feature and model uncertainty fusion.
	PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting Zeying Gong, Yujin Tang, Junwei Liang IJCAI Workshop, 2024 [ Paper ] [ Code ] An efficient CNN framework for long-term time series forecasting that has been widely adopted in the community with over 100 citations.
	PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting Yujin Tang, Jiaming Zhou, Xiang Pan, Zeying Gong, Junwei Liang ICLR Workshop, 2024 [ Paper ] [ Code ] A comprehensive benchmark and novel model for precipitation forecasting, advancing weather prediction capabilities.
	Cluster Unmanned Aerial Vehicle Electromagnetic Calculations and Applications Zeying Gong, Bin Rao CIE, 2021 [ Paper ] [ Patent ] Research on electromagnetic calculations for clustered UAV systems with practical applications in unmanned aerial vehicle operations.

Awards
Date	Award	Organization	Note
10/2025	Fifth Place Award	Shanghai AI Lab	InternUtopia VLN Challenge at IROS 2025
09/2024	Postgraduate Studentship for PhD	HKUST(GZ)	CNY 15,000 per month
05/2023	Outstanding Award	Shandong Information Industry Association	Top 6 in Qilu Weather Algorithm Challenge
02/2023	Champion	HKUST(GZ)	Campus Squash Tournament
09/2022	Postgraduate Studentship for MPhil	HKUST(GZ)	CNY 10,000 per month
08/2022	Outstanding Individual Award	Huawei Jiangxi Office	Top 10
12/2021	"Future Star" Award	Huawei	Top 20%
10/2020	Academic Excellence Award	Sun Yat-sen University	Top 20%
10/2019	Third Prize	Guangdong Education Department	Top 8% in Electronic Design Competition

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