I am a PhD student at the HKUST (GZ), where I am advised by Prof.
Junwei
Liang.
My current research focuses on 3D scene understanding and embodied AI.
Google Scholar
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* 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. Preprint, 2025 |
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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 Preprint, 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 Preprint, 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
[paper]
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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 |