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. 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

Selected Publications

* Full publication list available on Google Scholar

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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
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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
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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%)
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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
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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
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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
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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
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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
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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

Experience

BIGAI mark
BIGAIResearch Intern
HKUST(GZ) mark
HKUST(GZ)Research Assistant
Inria wordmark
Inria ParisResearch Assistant
Last modified: 2026-08-27