Jinmian Ye
Cited by
Cited by
Superneurons: Dynamic GPU memory management for training deep neural networks
L Wang, J 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
Learning compact recurrent neural networks with block-term tensor decomposition
J Ye, L Wang, G Li, D Chen, S Zhe, X Chu, Z Xu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Gate decorator: Global filter pruning method for accelerating deep convolutional neural networks
Z You, K Yan, J Ye, M Ma, P Wang
Advances in Neural Information Processing Systems, 2133-2144, 2019
Adversarial noise layer: Regularize neural network by adding noise
Z You, J Ye, K Li, Z Xu, P Wang
2019 IEEE International Conference on Image Processing (ICIP), 909-913, 2019
Compressing recurrent neural networks with tensor ring for action recognition
Y Pan, J Xu, M Wang, J Ye, F Wang, K Bai, Z Xu
Proceedings of the AAAI Conference on Artificial Intelligence 33, 4683-4690, 2019
TensorD: A tensor decomposition library in TensorFlow
L Hao, S Liang, J Ye, Z Xu
Neurocomputing 318, 196-200, 2018
Simple and efficient parallelization for probabilistic temporal tensor factorization
G Li, Z Xu, L Wang, J Ye, I King, M Lyu
2017 International Joint Conference on Neural Networks (IJCNN), 1-8, 2017
Bt-nets: Simplifying deep neural networks via block term decomposition
G Li, J Ye, H Yang, D Chen, S Yan, Z Xu
arXiv preprint arXiv:1712.05689, 2017
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
Meta filter pruning to accelerate deep convolutional neural networks
Y He, P Liu, L Zhu, Y Yang
arXiv preprint arXiv:1904.03961, 2019
Block-term tensor neural networks
J Ye, G Li, D Chen, H Yang, S Zhe, Z Xu
Neural Networks, 2020
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