Scholar
Wenxin Du
Google Scholar ID: j861KLoAAAAJ
UCLA
Citations & Impact
Citations
85
H-index
6
i10-index
4
Publications
13
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 1. GRIP: A General Robotic Incremental Potential Contact Simulation Dataset for Unified Deformable-Rigid Coupled Grasping (International Conference on Intelligent Robots and Systems, 2025)
- 2. A Convex Formulation of Material Points and Rigid Bodies with GPU-Accelerated Async-Coupling for Interactive Simulation (International Conference on Intelligent Robots and Systems, 2025)
- 3. Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics (ACM Transactions on Graphics, 2025)
- 4. Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation (Arxiv, 2025)
- 5. GelLight: Illumination Design, Modeling, and Optimization for Camera-Based Tactile Sensor (Advanced Intelligent Systems, 2025)
- 6. Embedded IPC: Fast and Intersection-free Simulation in Reduced Subspace for Robot Manipulation (ICRA, 2024)
- 7. Intersection-Free Robot Manipulation With Soft-Rigid Coupled Incremental Potential Contact (IEEE Robotics and Automation Letters, 2024)
- 8. TacIPC: Intersection-and Inversion-Free FEM-Based Elastomer Simulation for Optical Tactile Sensors (IEEE Robotics and Automation Letters, 2024)
- 9. Clothpose: A real-world benchmark for visual analysis of garment pose via an indirect recording solution (In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023)
Research Experience
- 1. Research assistant at the AIVC Lab at UCLA, advised by Prof. Chenfanfu Jiang.
Education
- 1. M.S. in Computer Science from Shanghai Jiao Tong University (SJTU), advised by Prof. Cewu Lu.
- 2. B.S. in Information and Computing Science from the School of the Gifted Young at the University of Science and Technology of China (USTC).
Background
- Research interests: physics-based simulation, tactile perception, and machine learning for robotics. Interned at ZenusTech, focusing on physics-based simulation and high-performance computing.
Co-authors