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.

Download CV
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

Automatic Sewing Pattern Layout by Graph-based Two-level Semantic Classification

Multi-level Quadrature for Projective Dynamics

TailorCoPilot: Enabling Agentic Pattern Making with Version-Controlled State Tracking

Distributed Affine Body Dynamics with Adaptive Consensus

FabricTryOn: Taming Image Editing Models for Garment Re-Texturing

Heterogeneous Subspace Corrections for GPU Deformable Multibody Dynamics

Interactive Yarn-level Knitwear with Nested Douglas-Rachford Splitting

CAN: A Curvature-Aware Nesterov Optimizer for Fast Elastic Simulation With Topological Changes

Real Garment Benchmark (RGBench): A Comprehensive Benchmark for Robotic Garment Manipulation featuring a High-Fidelity Scalable Simulator

GarmageNet: A Multimodal Generative Framework for Sewing Pattern Design and Generic Garment Modeling