Simple and efficient parallelization for probabilistic temporal tensor factorization. - Guangxi Li; Zenglin Xu; Linnan Wang; Jinmian Ye; Irwin King; Michael R. Lyu (IJCNN, 2017)

Efficient Communications in Training Large Scale Neural Networks. - Yiyang Zhao; Linnan Wang; Wei Wu 016; George Bosilca; Richard W. Vuduc; Jinmian Ye; Wenqi Tang; Zenglin Xu (ACM Multimedia (Thematic Workshops), 2017)

BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition. - Guangxi Li; Jinmian Ye; Haiqin Yang; Di Chen; Shuicheng Yan; Zenglin Xu (CoRR, 2017)

Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition. - Jinmian Ye; Linnan Wang; Guangxi Li; Di Chen; Shandian Zhe; Xinqi Chu; Zenglin Xu (CVPR, 2018)

Superneurons: dynamic GPU memory management for training deep neural networks. - Linnan Wang; Jinmian Ye; Yiyang Zhao; Wei Wu 016; Ang Li 006; Shuaiwen Leon Song; Zenglin Xu; Tim Kraska (PPoPP, 2018)

Adversarial Noise Layer: Regularize Neural Network By Adding Noise. - Zhonghui You; Jinmian Ye; Kunming Li; Ping Wang 003 (CoRR, 2018)

TensorD: A tensor decomposition library in TensorFlow. - Liyang Hao; Siqi Liang 001; Jinmian Ye; Zenglin Xu (Neurocomputing, 2018)

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. - Yu Pan 005; Jing Xu; Maolin Wang 001; Jinmian Ye; Fei Wang 001; Kun Bai; Zenglin Xu (AAAI, 2019)

Adversarial Noise Layer: Regularize Neural Network by Adding Noise. - Zhonghui You; Jinmian Ye; Kunming Li; Zenglin Xu; Ping Wang 003 (ICIP, 2019)

Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks. - Zhonghui You; Kun Yan; Jinmian Ye; Meng Ma 001; Ping Wang 003 (NeurIPS, 2019)

Block-term tensor neural networks. - Jinmian Ye; Guangxi Li; Di Chen; Haiqin Yang; Shandian Zhe; Zenglin Xu (Neural Networks, 2020)