- StiffGIPC: Advancing GPU IPC for Stiff Affine-Deformable Simulation, ACM Transaction on Graphics, 2025 (Siggraph 2025)
- GIPC: Fast and Stable Gauss-Newton Optimization of IPC Barrier Energy, ACM Transaction on Graphics, 2024 (Siggraph 2024)
- A Novel Plastic Phase-Field Method for Ductile Fracture with GPU Optimization, Computer Graphics Forum, 2020 (PG 2020)
- Novel Hierarchical Strategies for SPH-centric Algorithms on GPGPU, paper not fully listed
Open-source projects:
- Libuipc v1.0 will be ready soon
- StiffGIPC, a high-performance unified GPU IPC framework
- A fully GPU optimized IPC framework without sacrificing accuracy
- A highly optimized GPU MPM framework with clean code design
- A highly optimized GPU SPH framework
Research Experience
Currently developing the libuipc library, welcoming technical contributions and funding support. Also looking for Research Assistants to contribute to the development of LibUIPC at HKU.
Education
A fourth-year PhD student in Computer Science at The University of Hong Kong, supervised by Prof. Taku Komura. Collaborates closely with Prof. Minchen Li from Carnegie Mellon University on physical simulation and its applications. Before starting the PhD, worked with Prof. Hong Qin (Stony Brook University, New York) and Prof. Changbo Wang (ECNU) on real-time fluid simulation and high-performance computing.
Background
Research interests include physical simulation, high performance computing, differentiable simulation, sim2real (robotics), sim4ml, machine learning, geometry processing, and rendering. The goal is to advance the development of real-time, physically accurate virtual worlds and assist AI in gaining a more efficient and comprehensive understanding of the real physical world.
Miscellany
Personal interests and other information not provided