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Rong Li       李 蓉  

I am a PhD student in AI Thrust at The Hong Kong University of Science and Technology (Guangzhou campus) , where I am advised by Prof. Junwei Liang.

My current research focuses on 3D scene understanding and embodied AI.
I am also grateful for the opportunity to work with a few amazing collaborators 😆.
📚 Google Scholar | 💻 GitHub | 💼 LinkedIn | 📧 Email


News

Selected Publications

* Full publication list available on Google Scholar

photo 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.
Preprint, 2025
[paper]    [code]    [project page]   
photo 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
[paper]    [code]    [project page]   
photo 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%)
[paper]    [code]    [project page]   
photo 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]   
photo 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
[paper]    [code]    [project page]    [机器之心]    [智猩猩 Auto]    [3D视觉工坊]
photo 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]
photo 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
[paper]    [code]    [project page]
photo 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]    [poster]    [slides]
photo 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]    [slides]

Experience

Last modified: 2025-09-19