Yuanyuan Gao | 高源远

I am a Master's student in the School of Automation at Northwestern Polytechnical University (NWPU), affiliated with BRAIN Lab, advised by Prof. Dingwen Zhang and Prof. Junwei Han. I had the honor of working with Zhihang Zhong and Xiao Sun, who provided invaluable guidance and support. I will join the Department of Computer Science and Engineering at HKUST as a Ph.D. student in Fall 2026, advised by Prof. Dan Xu.

My research interests lie in Vlm, Spatial Intelligence, 3D Gaussian splatting.

Email  /  Google Scholar  /  Github

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News
  • 2026-05: ICML 2026 — Holi-Spatial accepted as Oral.
  • 2026-02: CVPR 2026 — Proxy-GS accepted as Oral (full scores 6/6).
  • 2025-09: ICCV 2025 — CityGS-X.
  • 2024-07: ECCV 2024 — GGRT (equal contribution).

Selected Publications

*Equal contribution

Holi-Spatial Holi-Spatial: Evolving Video Streams into Holistic 3D Spatial Intelligence.
Yuanyuan Gao, Hao Li, Yifei Liu, Xinhao Ji, Yuning Gong, Dingwen Zhang, et al., Zhihang Zhong.
International Conference on Machine Learning (ICML), 2026   Oral(168/23918)
[Project Page] [Code] GitHub stars

Holistic 3D Spatial Intelligence from evolving video streams; benchmark and method for spatial reasoning.

Proxy-GS Proxy-GS: Efficient 3D Gaussian Splatting via Proxy Mesh.
Yuanyuan Gao, Yuning Gong, Yifei Liu, Li Jingfeng, Zhihang Zhong, Dingwen Zhang, Yanci Zhang, Dan Xu, Xiao Sun.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026   Oral (Award Candidate)
[Project Page] [Code] GitHub stars

Efficient 3DGS using a proxy mesh for faster rendering and training while keeping geometric quality.

CityGS-X CityGS-X: A Scalable Architecture for Efficient and Geometrically Accurate Large-Scale Scene Reconstruction.
Yuanyuan Gao, Hao Li, Jiaqi Chen, Zhengyu Zou, Zhihang Zhong, Dingwen Zhang, Xiao Sun, Junwei Han.
IEEE International Conference on Computer Vision (ICCV), 2025
[Project Page] [Code] GitHub stars

Scalable parallel architecture for city-scale 3D Gaussian reconstruction with strong geometry.

GGRT GGRT: Towards generalizable 3D gaussians without pose priors in real-time.
Hao Li*, Yuanyuan Gao*, Chenming Wu, Dingwen Zhang, Yalun Dai, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Junwei Han.
European Conference on Computer Vision (ECCV), 2024
[Project Page] [Code] GitHub stars

Generalizable 3D Gaussians in real time without pose priors.

Preprints & Reports

Visionary Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform.
Yuning Gong, Yifei Liu, Yifan Zhan, Muyao Niu, Xueying Li, Yuanjun Liao, Jiaming Chen, Yuanyuan Gao, Jiaqi Chen, Minming Chen, et al.
Technical Report, 2025
[Project Page] [Code] GitHub stars

An open, web-native WebGPU + ONNX Runtime platform for real-time 3DGS / 4DGS / Avatar rendering — a unified world-model carrier in the browser.

Education
  • Ph.D. in Computer Science and Engineering, HKUST, expected from Sep 2026. Advisor: Prof. Dan Xu.
  • M.Eng. in Control Science and Engineering, NWPU, Aug 2023 – Jun 2026. BRAIN Lab; advisors: Prof. Dingwen Zhang, Prof. Junwei Han.
  • B.Eng. in Automation, NWPU, Aug 2019 – Jun 2023.
Experience
  • Shanghai AI Laboratory — large-scale reconstruction & 3D-MLLM (Mar 2025 – March 2026). Led CityGS-X parallel stack; WAIC 2025 city demo; Holi-Spatial benchmark and multimodal annotation pipeline.
  • Xiaomi Robotics — indoor 3D Gaussian reconstruction (Dec 2024 – Feb 2025). StableNormal priors, mesh quality for robotics scenes.
Honors and Awards
  • National Scholarship (2025)
  • NWPU Outstanding Graduate Student (2025)
  • NPU College of Automation Sport Star (2023)
  • NPU College of Automation Academic Star — Top 20% (2022)

© Yuanyuan Gao | Last updated: May, 2026
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