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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Mon, 27 Oct 2025 19:33:31 GMT access-control-allow-origin: * etag: W/"68ffc90b-65b3" expires: Sun, 28 Dec 2025 20:30:15 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: 3085:318CF6:7E8930:8E12D8:695190FF accept-ranges: bytes age: 0 date: Sun, 28 Dec 2025 20:20:15 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210042-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1766953216.568561,VS0,VE213 vary: Accept-Encoding x-fastly-request-id: a4bcbf7eee9aefcb72cbe56e19df3ac95e3f1b3b content-length: 5695 Yuehao Wang

Yuehao Wang

Ph.D. Student
Department of Computer Science
The University of Texas at Austin

yuehao [at] utexas.edu
[Scholar] [Github] [LinkedIn] [Twitter]

I am a Ph.D. student at UT Austin with VITA Group, advised by Prof. Atlas Wang and Prof. Qixing Huang. Before that, I did my Master of Philosophy at CUHK, where I was fortunate to work with Prof. Tianfan Xue. My bachelor's degree was obtained at ShanghaiTech University.

Research

My current research interests include machine learning, computer vision, computer graphics, and computational photography. In particular, I work on fundamental problems and applications in generative models and 3D scene representations. Below are my research publications.

Note: * indicates authors with equal contribution.

Steepest Descent Density Control for Compact 3D Gaussian Splatting

Peihao Wang*, Yuehao Wang*, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan

CVPR, 2025

Provable 3DGS densification by moving Gaussians towards the steepest descent direction.

[Paper] [Code] [Webpage]

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting

Hengyu Liu*, Yuehao Wang*, Chenxin Li*, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang

CVPR, 2025

Elastic inference of 3DGS to meet model size budget and maintain rendering quality.

[Paper] [Code] [Webpage]

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing

Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li

ICLR, 2025

We show that SSMs suffer from recency bias and over-smoothing, and propose a polarization technique to improve long-range recall and enable deeper SSMs.

[Paper] [Code]

Bilateral Guided Radiance Field Processing

Yuehao Wang, Chaoyi Wang, Bingchen Gong, Tianfan Xue

SIGGRAPH (ACM TOG), 2024 (Best Paper Honorable Mention)

We introduce 2D and 3D image signal processing (ISP) pipelines to radiance fields for handling photometric variation and retouching 3D scenes.

[Paper] [Code] [Webpage]

SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation

Bingchen Gong*, Yuehao Wang*, Xiaoguang Han, Qi Dou

SIGGRAPH Asia, 2023

We present a gradient domain approach for seamless appearance blending of part NeRFs, drawing inspiration from Poisson image editing.

[Paper] [Webpage]

RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D Scenes

Bingchen Gong*, Yuehao Wang*, Xiaoguang Han, Qi Dou

ACM MM, 2023

We decompose NeRF into pure-color layers for palette-based color editing of 3D scenes.

[Paper] [Code] [Webpage]

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

Yuehao Wang, Yonghao Long, Siu Hin Fan, Qi Dou

MICCAI, 2022 (Oral Presentation, Student Travel Award, Young Scientist Award)

A NeRF-based method for reconstructing deformable tissues from stereo endoscopic images.

[Paper] [Code] [Webpage]

Multi-view Neural Human Rendering

Minye Wu, Yuehao Wang, Qiang Hu, Jingyi Yu

CVPR, 2020

We present an end-to-end Neural Human Renderer (NHR) for dynamic human captures under the multi-view setting.

[Paper] [Code] [Webpage]

Coding Projects

Interactive Volume Renderer

An interactive volume visualizer for displaying implicit functions, medical data, smoke, etc., using CUDA for real-time rendering.

View on Github Videos

Let's Compute Graphics

A course project collection of graphics algorithms and applications, including OpenGL, global illumination, Loop subdivision, etc.

View on Github

Teaching

Multimedia Coding and Processing (Fall 2023) @ CUHK, Teaching Assistant
Fundamentals of Artificial Intelligence (Fall 2021, Fall 2022) @ CUHK, Teaching Assistant
Computer Graphics (Spring 2021) @ ShanghaiTech, Teaching Assistant
Linear Algebra (Fall 2019, Fall 2020) @ ShanghaiTech, Teaching Assistant
Introduction to Computer Programming (Fall 2018) @ ShanghaiTech, Teaching Assistant

Miscellaneous

Outside of academics, my hobbies include playing the guitar, creative coding, web design, and developing video games. Check out my showcase!

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