| 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 | 49 | 2018 |
| Accelerating Deep Neural Network Training With Inconsistent Stochastic Gradient Descent L Wang, Y Yang, R Min, S Chakradhar Neural Networks 93, 219-229, 2017 | 33 | 2017 |
| BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing L Wang, W Wu, Z Xu, J Xiao, Y Yang Proceedings of the 2016 International Conference on Supercomputing, 20, 2016 | 33 | 2016 |
| 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 Recognition, 2018 | 24 | 2018 |
| Warp-Consolidation: A Novel Execution Model for GPUs A Li, W Liu, L Wang, K Barker, SL Song Proceedings of the 2018 International Conference on Supercomputing, 2018 | 10 | 2018 |
| Efficient Communications in Training Large Scale Neural Networks Y Zhao, L Wang, W Wu, G Bosilca, R Vuduc, J Ye, W Tang, Z Xu | 10 | 2017 |
| 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 …, 2019 | 8 | 2019 |
| Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization G Li, Z Xu, L Wang, J Ye, I King, M Lyu Neural Networks (IJCNN), 2017 International Joint Conference on, 2017 | 8 | 2017 |
| Large Scale Artificial Neural Network Training Using Multi-GPUs L Wang, W Wu, J Xiao, Y Yi Supercomputing 16, 2016 | 7 | 2016 |
| ADAPT: an event-based adaptive collective communication framework X Luo, W Wu, G Bosilca, T Patinyasakdikul, L Wang, J Dongarra Proceedings of the 27th International Symposium on High-Performance Parallel …, 2018 | 6 | 2018 |
| Sample-Efficient Neural Architecture Search by Learning Action Space L Wang, S Xie, T Li, R Fonseca, Y Tian arXiv preprint arXiv:1906.06832, 2019 | 2 | 2019 |
| 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 | | 2018 |
| Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search L Wang, Y Zhao, Y Jinnai, Y Tian, R Fonseca | | |
Yiyang ZhaoWorcester Polytechnic InstituteVerified email at wpi.edu
