Jinmian Ye - RankMe

17 papers A* 4B 3Journal 10

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