Huamin Wang
Huamin Wang

Chief Scientist

Huamin Wang is the chief scientist at Style3D. His research focuses on high-performance, high-fidelity physics-based simulation — powered by GPUs and enhanced by generative AI — with broad applications in computer graphics, vision, and machine learning.

Previously, he is a tenured associate professor in the CSE department at the Ohio State University (2011–2022) and a postdoc researcher at UC Berkeley (2009–2011).

He is an ACM distinguished member (2025) and an IEEE senior member.

For more information, including contact details, please refer to the CV.

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Interests
  • Computer graphics
  • Computer vision
  • Robotics
  • Generative AI
Education
  • Ph.D. in Computer Science, 2009

    Georgia Institute of Technology

  • M.S. in Computer Science, 2004

    Stanford University

  • B.Eng. in Computer Science, 2002

    Zhejiang University

Featured Publications
Recent Publications
(2026). Automatic Sewing Pattern Layout by Graph-based Two-level Semantic Classification. SIGGRAPH Asia 2026 Conference Papers.
(2026). Multi-level Quadrature for Projective Dynamics. ACM Trans. Graph. (SIGGRAPH Asia 2026).
(2026). TailorCoPilot: Enabling Agentic Pattern Making with Version-Controlled State Tracking. ACM Symposium on User Interface Software and Technology (UIST 2026).
(2026). Distributed Affine Body Dynamics with Adaptive Consensus. ACM SIGGRAPH 2026 Conference Papers.
(2026). FabricTryOn: Taming Image Editing Models for Garment Re-Texturing. ACM SIGGRAPH 2026 Conference Papers.
(2026). Heterogeneous Subspace Corrections for GPU Deformable Multibody Dynamics. ACM Trans. Graph. (SIGGRAPH), 45(4).
(2026). Interactive Yarn-level Knitwear with Nested Douglas-Rachford Splitting. ACM Trans. Graph. (SIGGRAPH), 45(4).
(2026). CAN: A Curvature-Aware Nesterov Optimizer for Fast Elastic Simulation With Topological Changes. IEEE Transactions on Visualization and Computer Graphics.
(2026). Real Garment Benchmark (RGBench): A Comprehensive Benchmark for Robotic Garment Manipulation featuring a High-Fidelity Scalable Simulator. The 40th Annual AAAI Conference on Artificial Intelligence (AAAI).
(2025). GarmageNet: A Multimodal Generative Framework for Sewing Pattern Design and Generic Garment Modeling. ACM Trans. Graph. (SIGGRAPH Asia), 44(6).