Scholar
Yuehao Wang
Google Scholar ID: WMAx_-gAAAAJ
UT Austin
Citations & Impact
Citations
381
H-index
5
i10-index
4
Publications
9
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'Steepest Descent Density Control for Compact 3D Gaussian Splatting' (CVPR, 2025), 'FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting' (CVPR, 2025), 'Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing' (ICLR, 2025), 'Bilateral Guided Radiance Field Processing' (SIGGRAPH (ACM TOG), 2024, Best Paper Honorable Mention), 'SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation' (SIGGRAPH Asia, 2023), 'RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D Scenes' (ACM MM, 2023), 'Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery' (MICCAI, 2022, Oral Presentation, Student Travel Award, Young Scientist Award), 'Multi-view Neural Human Rendering' (CVPR, 2020). Involved in various projects such as an interactive volume renderer and a collection of graphics algorithms and applications called Let's Compute Graphics.
Research Experience
- Conducted research with VITA Group; served as a teaching assistant for Multimedia Coding and Processing (Fall 2023) at CUHK; taught Fundamentals of Artificial Intelligence (Fall 2021, Fall 2022) at CUHK; and Computer Graphics (Spring 2021) at ShanghaiTech University.
Education
- Ph.D. student at The University of Texas at Austin, Department of Computer Science, advised by Prof. Atlas Wang and Prof. Qixing Huang; Master of Philosophy at CUHK, advised by Prof. Tianfan Xue; Bachelor's degree from ShanghaiTech University.
Background
- Research interests include machine learning, computer vision, computer graphics, and computational photography. Particularly focused on fundamental problems and applications in generative models and 3D scene representations.
Miscellany
- Personal interests include developing an interactive volume renderer and creating videos on graphics algorithms and applications.
