Yong Cheng

Fairfax, VA, 22030. ycheng27@gmu.edu.

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Computer Science

George Mason University

ycheng27@gmu.edu


Yong Cheng is currently a Ph.D. student at George Mason University, advised by Prof. Yotam Gingold, beginning in 2025. His research interests focus on computer graphics, particularly geometry processing.

Previously, he worked on high-definition mapping for autonomous-driving systems at NIO. Prior to it, he was part of the geometric engine team at IDEA, where he contributed to performance optimization and intersection algorithms for Computer-Aided Design (CAD).

He earned his Master’s degree in Computer Science from Washington University in St. Louis in 2023, where he conducted a research project under the supervision of Prof. Tao Ju.

social media accounts: Linkedin and Github.

News

July 2026 Attended SIGGRAPH in LA for the first time.
May 2026 ✨Presented at Capital Graphics.
August 2025 Started my PhD career at George Mason University in computer science.

Publications

  1. Yong Cheng, and Yotam Gingold
    In SIGGRAPH Asia 2026 Conference Papers Dec 2026

Tools & Demos

Sep 24, 2026
An interactive 2D walkthrough of our SIGGRAPH Asia 2026 paper RBF Your SDF. Pick a shape (or upload your own SVG), choose grid or scattered SDF samples, and watch the algorithm run step by step in your browser, from implied tangent points to the final RBF reconstruction.
Jun 6, 2026
An interactive Power Diagram & Regular Triangulation sandbox where you can add weighted points and drag to adjust their positions and radii, watching the power cells and regular triangulation update in real time.
Dec 4, 2022
A microtubule-tracking tool designed to assist biologists in tracking the segmentation of microtubules, despite the challenges posed by their constant growth, shrinkage, and simultaneous movement and rotation. Additionally, the microscope video presents varying intensity and contrast across different areas in each frame, and features numerous crossing microtubules.
Dec 10, 2021
Chan's algorithm applet preview
A pedagogical applet to help the students understand Chan's convex hull algorithm.

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