Gao, Ruiyuan | 高瑞元
Ph.D in CSE of CUHK.
CUHK, Sha Tin, N.T.
Hong Kong, China
I am currently a Principal Engineer at the Multimodal Model Laboratory within the Huawei Hong Kong Research Center. My primary research interests focus on multimodal large language models (LLMs) and generative world models.
I obtained my PhD from CURE lab of CUHK. My supervisor is Prof. Qiang Xu. During my PhD study, I was fortunate to work with Prof. Sanja Fidler’s team at NVIDIA and Dr. Zhenguo Li’s team at Noah’s Ark Lab.
Prior to joining CUHK, I worked with Prof.Hailong Yang and Prof.Xianglong Liu at Beihang University, Beijing, receiving my B.E. degree in Computer Science and Technology from the Shenyuan Honors College in 2020.
Email: rygao.me [at] gmail.com
News
| Jan 27, 2026 | One paper, ChronoEdit is accepted to ICLR 2026! |
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| Nov 11, 2025 | MagicDrive3D is accepted to WACV 2026! |
| Jun 26, 2025 | Our MagicDrive-V2 is accepted to ICCV 2025! |
| Mar 24, 2025 | I join NVIDIA Spatial Intelligence Lab as a Research Intern, working with Huan Ling and Sanja Fidler on NVIDIA Cosmos. |
| Dec 7, 2024 | We release all the checkpoints for MagicDrive and the final checkpoint for MagicDrive-V2. Enjoy the open-source! |
Talks
| Dec 23, 2024 | “3D Geometry in Data Synthesis for Autonomous Driving”, ByteDance Ltd. |
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| Sep 11, 2024 | “3D Geometry in Data Synthesis for Autonomous Driving”, Li Auto Inc. |
| Jul 1, 2024 | "3D Geometry in Data Synthesis for Autonomous Driving", Autonomous Intelligence Lab, Westlake University. [More Details] |
| Jan 18, 2024 | “MagicDrive - 基于3D几何控制的自动驾驶街景数据生成”, TechBeat, [online] |
Autonomous Driving
(*) denotes equal contribution.- ICLR
MagicDrive: Street View Generation with Diverse 3D Geometry ControlIn International Conference on Learning Representations (ICLR) 2024 - TNNLS
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L_1 LossIEEE Transactions on Neural Networks and Learning Systems 2020
Generative Models
(*) denotes equal contribution.Robustness and AI Safety
(*) denotes equal contribution.- CCGrid
PriPro: Towards Effective Privacy Protection on Edge-Cloud System running DNN InferenceIn 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid) 2021