Biography
Hi, I am Yun He, a second-year CS PhD student at the University of Maryland, College Park, advised by Prof. Matthias Zwicker. I recieved my master's degree in computer science from Fudan University in 2023, co-advised by Prof. Yanwei Fu and Prof. Xiangyang Xue. During my master's studies, I also collaborated closely with Dr. Danhang Tang and Dr. Yinda Zhang at Google. In 2020, I obtained my bachelor's degree in computer science from Chongqing University. My primary research interests include: (1) Multimodal Agents, with a focus on driving scene editing and indoor scene synthesis; (2) 3D Vision, specifically Gaussian Splatting-based 3D reconstruction.
- Multimodal Agents
- 3D Reconstruction
- 3D Geometry Processing
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Ph.D. in Computer Science, 2024-Present
University of Maryland, College Park
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M.Sc. in Computer Science, 2020-2023
Fudan University
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B.Eng. in Computer Science, 2016-2020
Chongqing University
News
- [2025-12] We release LangDriveCTRL, an agentic workflow for driving scene editing.
- [2025-05] I join NEC Labs America as a research intern.
- [2024-08] I join UMD as a CS PhD student.
- [2023-06] I am awarded as an Outstanding Master's Student in Shanghai (Top 3%)!
- [2023-02] Grad-PU is accepted by CVPR 2023. Code is avaliable at Github.
- [2022-02] D-PCC is accepted by CVPR 2022. Code is avaliable at Github.
Publications
Experience
- Introduce an agentic framework for driving scene editing, which supports both object level editing (removal, insertion, and replacement) and multi-object behavior editing.
- Achieve both high controllability and strong realism by combining explicit modular agents with diffusion-based refinement.
- Propose a new framework for accurate point cloud upsampling that supports arbitrary upsampling rates.
- Introduce a novel deep point cloud compression method that preserves local density.
