Rong Li 李蓉

I am a Ph.D. candidate in AI Thrust at The Hong Kong University of Science and Technology (Guangzhou campus) , where I am supervised by Prof. Dr. Junwei Liang and co-supervised by Prof. Yingcong Chen. I obtained my Bachelor's and Master's degrees from South China University of Science and Technology.

My research focuses on Spatial Intelligence, and Embodied AI. I study how multimodal models and embodied agents perceive, reason about, and interact with their environments.

I am always open to research discussions and collaborations.

News

[2026.10]: The project page for our new work GeoReader is now live.
[2026.01]: ASCENT is accepted by IEEE Robotics and Automation Letters (RA-L).
[2025.09]: Two papers 3EED and Talk2Event are accepted by NeurIPS 2025.
[2025.06]: Invited by 智猩猩 Auto and 3D视觉工坊 to share our work SeeGround.
[2025.06]: We are organizing The RoboSense Challenge at IROS 2025. See you in Hangzhou!
[2025.06]: GA-MonoSSC is accepted by ICCV 2025.
[2025.02]: SeeGround is accepted by CVPR 2025.

Selected Publications

* Full publication list available on Google Scholar

	GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models Rong Li, Shijie Li, Jiangyong Huang, Lingdong Kong, Jiaming Zhou, Dongyue Lu, Zeying Gong, Baoxiong Jia, Junwei Liang, Siyuan Huang Preprint, 2026 Project Paper Code 15
	EventDrive: Event Cameras for Vision-Language Driving Intelligence Dongyue Lu, Rong Li, Ao Liang, Lingdong Kong, Wei Yin, Lai Xing Ng, Benoit R. Cottereau, Camille Simon Chane, Wei Tsang Ooi IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 Project Paper Dataset
	NavThinker: Action-Conditioned World Models for Coupled Prediction and Planning in Social Navigation Tianshuai Hu, Zeying Gong, Lingdong Kong, XiaoDong Mei, Yiyi Ding, Qi Zeng, Ao Liang, Rong Li, Yangyi Zhong, Junwei Liang IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026 Project Paper Code 9
	FLUX: Accelerating Cross-Embodiment Generative Navigation Policies via Rectified Flow and Static-to-Dynamic Learning Zeying Gong, Yangyi Zhong, Yiyi Ding, Tianshuai Hu, Guoyang Zhao, Lingdong Kong, Rong Li, Jiadi You, Junwei Liang IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026* Project Paper Code 31 Dataset Video
	Stairway to Success: Zero-Shot Floor-Aware Object-Goal Navigation via LLM-Driven Coarse-to-Fine Exploration Zeying Gong, Rong Li, Tianshuai Hu, Ronghe Qiu, Lingdong Kong, Lingfeng Zhang, Yiyi Ding, Leying Zhang, Junwei Liang. IEEE Robotics and Automation Letters (RA-L), 2026 Project Paper Code 153
	3EED: Ground Everything Everywhere in 3D *Rong Li,** Yuhao Dong, Tianshuai Hu, Ao Liang, Youquan Liu, Dongyue Lu, Liang Pan, Lingdong Kong, Junwei Liang, Ziwei Liu Advances in Neural Information Processing Systems (NeurIPS), 2025* Project Paper Code 212
	Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras Lingdong Kong, Dongyue Lu, Ao Liang, Rong Li,* Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau Advances in Neural Information Processing Systems (NeurIPS), 2025, Spotlight (3.2%) Project Paper Code 17
	Global-Aware Monocular Semantic Scene Completion with State Space Models Shijie Li, Zhongyao Cheng, Rong Li, Shuai Li, Juergen Gall, Xun Xu, Xulei Yang. International Conference on Computer Vision (ICCV), 2025 Paper Code 3
	SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding Rong Li, Shijie Li, Lingdong Kong, Xulei Yang, Junwei Liang. Computer Vision and Pattern Recognition (CVPR), 2025 Project Paper Code 224 机器之心智猩猩 Auto 3D视觉工坊
	TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation Rong Li, Shijie Li, Xieyuanli Chen, Teli Ma, Juergen Gall, Junwei Liang. CVPR Workshop on Autonomous Driving, 2024 Paper
	An Examination of the Compositionality of Large Generative Vision-Language Models Teli Ma, Rong Li , Junwei Liang. The Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2024 Project Paper Code 19
	Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation Rong Li, Anh-Quan Cao, Raoul de Charette. The British Machine Vision Conference (BMVC), 2022 Paper Code 45 Poster Slides
	Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation Zhuangwei Zhuang, Rong Li, Yuanqing Li, Kui Jia, Qicheng Wang, Mingkui Tan. International Conference on Computer Vision (ICCV), 2021 Paper Code 235 Slides

Experience

BIGAIResearch Intern

Mentors: Dr. Siyuan Huang, Dr. Baoxiong Jia

2025.08 – 2026.09

HKUST(GZ)Research Assistant

Mentor: Prof. Dr. Junwei Liang

2022.11 – 2024.01

Inria ParisResearch Assistant

Mentor: Dr. Raúl de Charette

2021.12 – 2022.07

Last modified: 2026-10-12