Hao-Yu (Max) Hsu

I am an incoming Ph.D. student in computer science at the University of Illinois Urbana-Champaign, starting in Fall 2025.

Prior to this, I obtained my M.S. degree from UIUC and my B.S. degree from National Tsing Hua University. I am fortunate to be advised by Prof. Shenlong Wang during my Master's study, and Prof. Yu-Chiang Frank Wang and Prof. Shao-Hua Sun at National Taiwan University during my undergrad.

My research interests lie in 3D vision, neural rendering, and multimodal learning. My long-term goal is to develop AR/VR tools that model and reconsturct our physical world, and make realistic simulations accessible to everyone.

Email / CV / Google Scholar / Github / Twitter

Selected Publications

(* denotes equal contribution)

	PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos Hanxiao Jiang, Hao-Yu Hsu, Kaifeng Zhang, Hsin-Ni Yu, Shenlong Wang, Yunzhu Li ArXiv, 2025 paper / project page / code We optimize a spring-mass physics model of deformable objects and integrate the model with 3D Gaussian Splatting for real-time re-simulation with rendering.
	AutoVFX: Physically Realistic Video Editing from Natural Language Instructions Hao-Yu Hsu, Chih-Hao Lin, Albert J. Zhai, Hongchi Xia, Shenlong Wang 3DV, 2025 paper / project page / code A system that generates dynamic, physically realistic visual effects (VFX) on a single video solely from text-based editing instructions.
	SPoVT: Semantic Prototype Variational Transformer for Dense Point Cloud Semantic Completion Hao-Yu Hsu, Sheng-Yu Huang, Yu-Chiang Frank Wang NeurIPS, 2022 paper / project page / code / video A point cloud semantic completion framework to complete partial point clouds of 3D objects with variational Transformer.
	NeurMiPs: Neural Mixture of Planar Experts for View Synthesis Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu*, Yu-Chiang Frank Wang, Shenlong Wang CVPR*, 2022 paper / project page / code / video Use an efficient 3D planar representation to model the geometry and appearance of a scene for novel view synthesis.

Other Publications

Interpreting Latent Representation In Neural Radiance Fields for Manipulating Object Semantics
Yu-Shan Huang, Sheng-Yu Huang, Hao-Yu Hsu, Yu-Chiang Frank Wang
ICIP, 2023
paper

Developed a method for semantic-aware manipulation on generative NeRF by controlling latent representation.

Education

Ph.D. in Computer Science University of Illinois at Urbana-Champaign 2025 - Present
M.S. in Computer Science University of Illinois at Urbana-Champaign 2023 - 2025 Awarded Siebel Scholar, Class of 2025 [news link]
B.S. in Electrical Engineering National Tsing Hua University 2017 - 2021 Graduated with the highest honor, Rank: 1/102, GPA: 4.23/4.3

Experience

Graduate Student Shenlong's Lab, UIUC CS Aug. 2023 - present Advisor: Prof. Shenlong Wang
Research Assistant Robot Learning Lab, National Taiwan University Jun. 2022 - Feb. 2023 Advisor: Prof. Shao-Hua Sun
Research Assistant Vision & Learning Lab, National Taiwan University Sep. 2021 - Feb. 2023 Advisor: Prof. Yu-Chiang Frank Wang

Teaching Experience

Teaching Assistant University of Illinois at Urbana-Champaign CS233: Computer Architecture (Spring 2024) CS543: Computer Vision (Fall 2024) CS445: Computational Photography (Spring 2025)
Teaching Assistant National Tsing Hua University EE2405: Embedded System Laboratory (Spring 2020)

Awards & Professional Activity

Siebel Scholar, Class of 2025
Phi Tau Phi Scholastic Honor Society Honorary Membership (Graduated with the first place in NTHU, Class of 2021)
Reviewer: 3DV 2025, CVPR 2025

Credits to Jon Barron for this awesome website template.
Last updated: June 2025.