Jinmian Ye

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 17

Top Topics

Action Recognition

Pruning Methods

Tensor Decomposition

Top Venues

ACM Multimedia (Thematic Workshops)

Publications

Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
Block-term Tensor Neural Networks. CoRR (2020)
Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
Block-term tensor neural networks. Neural Networks 130 (2020)
Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks. CoRR (2019)
Zhonghui You, Jinmian Ye, Kunming Li, Zenglin Xu, Ping Wang
Adversarial Noise Layer: Regularize Neural Network by Adding Noise. ICIP (2019)
Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. AAAI (2019)
Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks. NeurIPS (2019)
Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. CoRR (2018)
Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition. CVPR (2018)
Liyang Hao, Siqi Liang, Jinmian Ye, Zenglin Xu
TensorD: A tensor decomposition library in TensorFlow. Neurocomputing 318 (2018)
Zhonghui You, Jinmian Ye, Kunming Li, Ping Wang
Adversarial Noise Layer: Regularize Neural Network By Adding Noise. CoRR (2018)
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks. CoRR (2018)
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
Superneurons: dynamic GPU memory management for training deep neural networks. PPOPP (2018)
Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu
Simple and efficient parallelization for probabilistic temporal tensor factorization. IJCNN (2017)
Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition. CoRR (2017)
Yiyang Zhao, Linnan Wang, Wei Wu, George Bosilca, Richard W. Vuduc, Jinmian Ye, Wenqi Tang, Zenglin Xu
Efficient Communications in Training Large Scale Neural Networks. ACM Multimedia (Thematic Workshops) (2017)
Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition. CoRR (2017)
Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization. CoRR (2016)