Sotabase

Career

· Researcher, Apple2025–
· Postdoctoral Researcher, Stanford University2023–2025
· Research Intern, Google2021–2022
· Research Intern, Intel Corporation2021–2021
· Research Intern, NVIDIA2019–2020
· Doctor of Philosophy - PhD Computer Science, Cornell University2018–2023
· Doctor of Philosophy - PhD, Computer Science, Cornell University2018–2023
· Undergraduate Teaching Assistant, Cornell University2017–2018
· Software Engineer Intern, Google2017–2017
· Undergraduate Researcher, Cornell Tech SE(3) CV Group2016–2018
· Research Engineer Intern, Tangible Play, Inc2016–2016
· Cofounder, Tech Lead, Hyphen Connect2015–2016
· Bachelor's degree, Mathematics and Computer Science, Cornell University2014–2018
· Full-stack Web Developer, Cornell University2014–2016
· Software Engineer Intern, dxTechnology2014–2014

Publications (36)

PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows
IEEE International Conference on Computer Vision · 2019
760
cited
Learning Gradient Fields for Shape Generation
European Conference on Computer Vision · 2020
323
cited
Learning to Evaluate Image Captioning
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
158
cited
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation
Computer Vision and Pattern Recognition · 2024
144
cited
Geometry Processing with Neural Fields
Neural Information Processing Systems · 2023
106
cited
SWALP : Stochastic Weight Averaging in Low-Precision Training
International Conference on Machine Learning · 2019
103
cited
DiffusionPDE: Generative PDE-Solving Under Partial Observation
Neural Information Processing Systems · 2024
77
cited
QPyTorch: A Low-Precision Arithmetic Simulation Framework
2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing - NeurIPS Edition (EMC2-NIPS) · 2019
71
cited
Learning Single-View 3D Reconstruction with Limited Pose Supervision
European Conference on Computer Vision · 2018
59
cited
Orthogonal Adaptation for Modular Customization of Diffusion Models
Computer Vision and Pattern Recognition · 2023
59
cited
PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations
European Conference on Computer Vision · 2024
46
cited
Deep Fundamental Matrix Estimation without Correspondences
ECCV Workshops · 2018
42
cited
MegaScenes: Scene-Level View Synthesis at Scale
European Conference on Computer Vision · 2024
39
cited
Neural Caches for Monte Carlo Partial Differential Equation Solvers
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia · 2023
26
cited
Polynomial Neural Fields for Subband Decomposition and Manipulation
arXiv.org · 2023
22
cited
Fast Reading Comprehension with ConvNets
arXiv.org · 2017
16
cited
Robust Symmetry Detection via Riemannian Langevin Dynamics
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia · 2024
13
cited
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering
Neural Information Processing Systems · 2023
12
cited
BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing
Computer Vision and Pattern Recognition · 2025
11
cited
Learning Data-Adaptive Interest Points through Epipolar Adaptation
CVPR Workshops · 2019
9
cited
Sotabase
Guandao Yang | Researcher Profile | Sotabase | Sotabase