‪Yixin Shi‬ - ‪Google Scholar‬

Get my own profile

Cited by

	All	Since 2019
Citations	125	124
h-index	4	4
i10-index	3	3

0

70

35

202020212022202320242 6 36 66 14

Public access

1 article

0 articles

available

not available

Based on funding mandates

Co-authors

Sheng YiSimplegenVerified email at simplegen.ai
Tianyu Ding, Ph.D.Senior Researcher, Microsoft | Johns Hopkins UniversityVerified email at microsoft.com
Tianyi ChenSenior Research Manager, Microsoft, Johns Hopkins UniversityVerified email at microsoft.com
Zhihui ZhuAssistant Professor, Ohio State UniversityVerified email at osu.edu
Guanyi WangAssistant Professor, National University of SingaporeVerified email at nus.edu.sg

Yixin Shi

Yixin Shi

SimpleGen

Verified email at simplegen.ai

Model Compression Computer Vision NLP


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Only train once: A one-shot neural network training and pruning framework T Chen, B Ji, T Ding, B Fang, G Wang, Z Zhu, L Liang, Y Shi, S Yi, X Tu Advances in Neural Information Processing Systems 34, 19637-19651, 2021	81	2021
Orthant Based Proximal Stochastic Gradient Method for -Regularized Optimization T Chen, T Ding, B Ji, G Wang, Y Shi, J Tian, S Yi, X Tu, Z Zhu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021	23	2021
Neural network compression via sparse optimization T Chen, B Ji, Y Shi, T Ding, B Fang, S Yi, X Tu arXiv preprint arXiv:2011.04868, 2020	16	2020
Spatially sparse convolutional neural networks for inking applications T Chen, Y Shi, S Yi US Patent 11,188,744, 2021	5	2021

The system can't perform the operation now. Try again later.

Articles 1–4