刘寅初 Yinchu Liu

Ph.D. Candidate

About Me

Yinchu Liu

Hello! I'm Yinchu Liu, a third-year Ph.D. candidate supervised by Prof. Sheldon Andrews and Prof. Kenny Erleben. My expertise spans rigid body simulation with frictional contacts, graph partitioning, collision detection, numerical solvers, reinforcement learning, and supervised learning.

I'm passionate about developing advanced algorithms for computer graphics and physics-based simulations. My research focuses on using machine learning techniques to enhance numerical solvers, as well as to improve both discrete (DCD) and continuous collision detection (CCD), aiming to increase the efficiency and accuracy of complex simulations.

I am currently open for internship and full-time opportunities!

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Education

Jan 2023 - Dec 2026 (expected)

Doctorate in Engineering

École de Technologie Supérieure

Supervisor: Sheldon Andrews and Kenny Erleben

Montréal, Canada

Sept 2020 - Aug 2022

Master in Information Technology Engineering

École de Technologie Supérieure

Supervisor: Sheldon Andrews

Montréal, Canada

Aug 2016 - July 2020

Bachelor in Mechanical Engineering

Jilin University

Changchun, China

Publications

Graph Partitioning Algorithms for Rigid Body Simulations

Yinchu Liu, Sheldon Andrews

Eurographics, 2022

Skills

Programming Languages

C++

Python

PyTorch

OpenGL

Projects

UV Mapping Project

UV Mapping Project

An OpenGL-based application for 3D model UV mapping and texture application. Features include model loading with UV coordinates, texture mapping, and Phong lighting implementation.

C++ OpenGL GLFW GLM

Graph Partitioning for Rigid Body Simulations

Research project focusing on graph partitioning algorithms to accelerate rigid body simulations. Developed novel techniques to improve convergence rates in contact-rich multibody systems by optimizing constraint distribution across parallel solvers.

C++ OpenGL Physics Simulation Graph Theory

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