Chen Yu
Chen Yu
Verified email at ur.rochester.edu - Homepage
Title
Cited by
Cited by
Year
Doublesqueeze: Parallel stochastic gradient descent with double-pass error-compensated compression
H Tang, C Yu, X Lian, T Zhang, J Liu
International Conference on Machine Learning, 6155-6165, 2019
632019
Model compression with adversarial robustness: A unified optimization framework
S Gui, H Wang, C Yu, H Yang, Z Wang, J Liu
arXiv preprint arXiv:1902.03538, 2019
292019
Distributed learning over unreliable networks
C Yu, H Tang, C Renggli, S Kassing, A Singla, D Alistarh, C Zhang, J Liu
International Conference on Machine Learning, 7202-7212, 2019
202019
Adversarially trained model compression: When robustness meets efficiency
S Gui, H Wang, C Yu, H Yang, Z Wang, J Liu
arXiv preprint arXiv:1902.03538, 2019
62019
Automl from service provider’s perspective: Multi-device, multi-tenant model selection with gp-ei
C Yu, B Karlaš, J Zhong, C Zhang, J Liu
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
32019
Multi-device, multitenant model selection with gp-ei
C Yu, B Karlas, J Zhong, C Zhang, J Liu
arXiv preprint arXiv:1803.06561, 2018
22018
P-MCGS: Parallel Monte Carlo Acyclic Graph Search.
C Yu, J Chen, J Zhong, J Liu
arXiv preprint arXiv:1810.11755, 2018
2018
An attribute switching mechanism for mobile networks
C Yu, W Li
2016 IEEE International Conference on Network Infrastructure and Digital …, 2016
2016
AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI Download PDF
C Yu, B Karlaš, J Zhong, C Zhang, J Liu
Distributed Learning over Unreliable Networks Download PDF
C Yu, H Tang, C Renggli, S Kassing, A Singla, D Alistarh, C Zhang, J Liu
Model Compression with Adversarial Robustness: A Unified Optimization Framework Download PDF
S Gui, H Wang, H Yang, C Yu, Z Wang, J Liu
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Articles 1–11