Yiyang Zhao
TitleCited byYear
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
L Wang, Jinmian Ye, Y Zhao, W Wu, A Li, SL Song, Z Xu, T Kraska
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of …, 2018
Alphax: exploring neural architectures with deep neural networks and monte carlo tree search
L Wang, Y Zhao, Y Jinnai, Y Tian, R Fonseca
To appear in the Thirty-Fourth AAAI conference on Artificial Intelligence …, 2018
A new method of tipping calibration for ground-based microwave radiometer in cloudy atmosphere
JM Li, LX Guo, LK Lin, YY Zhao, XH Cheng
IEEE Transactions on Geoscience and Remote Sensing 52 (9), 5506-5513, 2014
A dual-frequency method of eliminating liquid water radiation to remotely sense cloudy atmosphere by ground-based microwave radiometer
J Li, LX Guo, LK Lin, Y Zhao, Z Zhao, T Shu, H Han
Progress In Electromagnetics Research 138, 629-645, 2013
Efficient communications in training large scale neural networks
Y Zhao, L Wang, W Wu, G Bosilca, R Vuduc, J Ye, W Tang, Z Xu
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 110-116, 2017
SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks
L Wang, W Wu, Y Zhao, J Zhang, H Liu, G Bosilca, J Dongarra, M Herlihy, ...
arXiv preprint arXiv:1811.08596, 2018
The system can't perform the operation now. Try again later.
Articles 1–6