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Yinshuang Xu 许吟霜

I'm a second-year Ph.D. student at the Department of Computer and Information Science, University of Pennsylvania, and my advisor is Prof. Kostas Daniilidis.

Before that, I got my bachelor's degree in Engineering Mechanics at Shanghai Jiao Tong University and my master's degree in Robotics at University of Pennsylvania.

My research interest lies in equivariance, geometric deep learning and their applications in computer vision and machine learning.

Email  /  Google Scholar  /  Github

\(SE(3)\) Equivariant Convolution and Transformer in Ray Space

Yinshuang Xu, Jiahui Lei, Kostas Daniilidis
NeurIPS (Spotlight), 2023
paper / code / bibtex
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces

Yinshuang Xu*, Jiahui Lei*, Edgar Dobriban, Kostas Daniilidis
ICML (Spotlight), 2022
arXiv / bibtex
Equivariant Multi-View Networks

Carlos Esteves*, Yinshuang Xu*, Christine Allen-Blanchette, Kostas Daniilidis
ICCV (Oral), 2019
arXiv / code / poster / bibtex
Nested Scale-Editing for Conditional Image Synthesis

Lingzhi Zhang*, Jiancong Wang*, Yinshuang Xu, Jie Min, Tarmily Wen, James C. Gee, Jianbo Shi
CVPR, 2020
arXiv / bibtex

CIS580: Machine Perception. Teaching assistant, Spring2020, Spring2021

ESE546: Principles of Deep Learning. Teaching assistant, Fall2021


ICML reviewer (International Conference on Machine Learning)

ECCV reviewer (European Conference on Computer Vison)

NeurIPS reviewer (Conference on Neural Information Processing Systems)

CVPR reviewer (Computer Vision and Pattern Recognition)

ICLR reviewer (International Conference on Learning Representations)

Co-organizer: CVPR2024 Workshop on Equivariant Vision: From Theory to Practice

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