Fifi and Taotao
Hao Zhang 张昊
Hao Zhang

Hao Zhang 张昊

PhD Student @ UIUC · Research Scientist Intern @ Snap Research
✉️ Email 𝕏 Twitter 💻 GitHub 📚 Google Scholar (73 citations, h-index: 5) 📝 小红书 Xiaohongshu (1K+ followers)

I am a PhD student in ECE at UIUC, and a Research Scientist Intern at Snap Research. I work on Dynamic 3D, 4D Reconstruction and Generation, Animation, Rigging, and Differential Physical Simulation in 3D Vision.

🤝 Open to research collaborations, academic discussions, and mentoring. Feel free to reach out for potential partnerships or if you'd like to chat about 3D/4D research (WeChat: zh17603602632).

📰 News

🏆 Publications

Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video GenerationarXiv 2025
Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation
Hao Zhang, Chun-Han Yao, Simon Donné, Narendra Ahuja, Varun Jampani
arXiv, 2025
🌐 Project Page 📄 Paper
PhysRig - Differentiable Physics‑Based Skinning and Rigging FrameworkICCV 2025
PhysRig: Differentiable Physics‑Based Skinning and Rigging Framework for Realistic Articulated Object Modeling
Hao Zhang*, Haolan Xu*, Chun Feng, Varun Jampani, Narendra Ahuja
International Conference on Computer Vision (ICCV), 2025
🌐 Project Page 💻 GitHub (⭐ Loading...) 🧪 Wild3D Workshop 🧪 gDT‑IV Workshop
MagicPose4D - Crafting Articulated Models with Appearance and Motion ControlTMLR 2025
MagicPose4D: Crafting Articulated Models with Appearance and Motion Control
Hao Zhang*, Di Chang*, Fang Li, Mohammad Soleymani, Narendra Ahuja
Transactions on Machine Learning Research (TMLR), 2025
🌐 Project Page 💻 GitHub (⭐ Loading...)
S3O - Dual‑Phase Approach for Reconstructing Dynamic Shape and SkeletonICML 2024
S3O: A Dual‑Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja
International Conference on Machine Learning (ICML), 2024
📄 Paper
LIMR - Learning Implicit Representation for Reconstructing Articulated ObjectsICLR 2024
LIMR: Learning Implicit Representation for Reconstructing Articulated Objects
Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja
International Conference on Learning Representations (ICLR), 2024
📄 Paper
CSL - Class‑Agnostic Structure‑Constrained Learning for SegmentationAAAI 2024
CSL: Class‑Agnostic Structure‑Constrained Learning for Segmentation Including the Unseen
Hao Zhang, Fang Li, Lu Qi, Ming‑Hsuan Yang, Narendra Ahuja
AAAI Conference on Artificial Intelligence (AAAI), 2024
📄 Paper · 🎯 SMIYC Results
Open-NeRF - Towards Open Vocabulary NeRF DecompositionWACV 2024
Open‑NeRF: Towards Open Vocabulary NeRF Decomposition
Hao Zhang, Fang Li, Narendra Ahuja
WACV, 2024
📄 Paper

💼 Work Experience

Snap Research — Research Scientist Intern
New York, USA · 2025 Summer – Now · Supervisors: Bing Zhou, Jian Wang
2025
Stability AI — Research Scientist Intern
2024 Fall – 2025 Summer · Supervisor: Varun Jampani
2024–2025
Pixocial AI Lab — Research Scientist Intern
2024 Summer · Supervisor: Haoxiang Li
2024

🎓 Education

University of Illinois Urbana‑Champaign (UIUC)
Ph.D. in Computer Vision · 2022–2027 (expected)
Ph.D.
University of Southern California (USC)
M.S. in Electrical & Computer Engineering · 2019–2020
M.S.
CUHK, Shenzhen
Visiting Student · 2021.3 – 2021.10 · Supervisor: Ruimao Zhang
Visiting
Civil Aviation University of China (CAUC)
B.S. in Telecommunication Engineering · 2014–2018
B.S.

🐶 My Beloved Companions

Fifi and Taotao - White Maltese Dogs
🐾 My Companions
Fifi
6 lbs
Born Aug 14, 2022
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Taotao
4 lbs
Born Feb 14, 2025
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🌟 Professional Activities

📋 Conference Reviewer
ICLR, NeurIPS, ECCV, CVPR, ICML, AAAI
📖 Journal Reviewer
IEEE Transactions on Image Processing (TIP)

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