Yong Cheng
Fairfax, VA, 22030. ycheng27@gmu.edu.
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 | My first time to attend SIGGRAPH |
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| July 2026 | Our paper RBF your SDF: Radial Basis Function Interpolation of Signed Distance Fields with Implied Tangent Points has been conditionally accepted to SIGGRAPH Asia 2026 — see you in Malaysia! |
| May 2026 | ✨Presented at Capital Graphics |
| August 2025 | Started my PhD career at George Mason University in computer science. |
Tools / Projects
| 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.  |
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| 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 | A pedagogical applet to help the students understand Chan's convex hull algorithm.  |