Alexander Gao
CV  | 
Google Scholar
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Github
Hello, I am a PhD student in Computer Science at University of Maryland, College
Park, advised by Ming C. Lin.
My research goal is to develop techniques for applying machine learning to geometric problems in computer graphics, to
enable new ways for artists and engineers to create.
Research interests include: animation and simulation, geometry processing, and
geometric deep learning.
I have previously interned at Roblox and Google. Prior to that, I worked as a
software engineer at Amazon. I completed my MS in Computer Science at NYU, and BA in
Film Production at USC School of Cinematic Arts.
Don't hesitate to reach out at: gaoalexander [at] gmail dot com
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An Intrinsic Vector Heat Network
International Conference on Machine Learning (ICML), 2024
Alexander Gao, Maurice Chu, Mubbasir Kapadia, Ming C. Lin, and Hsueh-Ti Derek Liu
Paper and code forthcoming soon.
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Dynamic Mesh-Aware Radiance Fields
International Conference on Computer Vision (ICCV), 2023
Alexander Gao*, Yi-Ling Qiao*, Yiran Xu, Yue Feng, Jia-Bin Huang, and Ming C. Lin
Paper /
Code /
Website
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Learning Simultaneous Navigation and Construction in Grid Worlds
International Conference on Learning Representations (ICLR), 2023
Wenyu Han, Haoran Wu, Eisuke Hirota, Alexander Gao, Lerrel Pinto, Ludovic Righetti, and
Chen Feng.
Paper /
Code /
Website
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NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos
Conference on Neural Information Processing Systems (NeurIPS), 2022
Alexander Gao*, Yi-Ling Qiao*, and Ming C. Lin.
Paper /
Code /
Website
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Academic Service
Reviewer: ICML (2024), SIGGRAPH (2024), IEEE RA-L (2024), ICLR (2024), NeurIPS
(2023)
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