| 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 | 90 | 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 | 61 | 2017 |
| 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 | 52 | 2018 |
| 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 | 47 | 2016 |
| Alphax: Exploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search L Wang, Y Zhao, Y Jinnai, Y Tian, R Fonseca AAAI Conference on Artificial Intelligence (AAAI 2020), 2020 | 30 | 2020 |
| 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 | 15 | 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 | 14 | 2018 |
| Sample-Efficient Neural Architecture Search by Learning Action Space for Monte Carlo Tree Search L Wang, S Xie, T Li, R Fonseca, Y Tian arXiv preprint arXiv:1906.06832, 2019 | 11 | 2019 |
| Efficient Communications in Training Large Scale Neural Networks Y Zhao, L Wang, W Wu, G Bosilca, R Vuduc, J Ye, W Tang, Z Xu | 11 | 2017 |
| 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 | 8 | 2017 |
| Large Scale Artificial Neural Network Training Using Multi-GPUs L Wang, W Wu, J Xiao, Y Yi Supercomputing 16, 2016 | 8 | 2016 |
| Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search L Wang, R Fonseca, Y Tian NeurIPS 2020, 2020 | 4 | 2020 |
| Few-shot Neural Architecture Search Y Zhao, L Wang, Y Tian, R Fonseca, T Guo arXiv preprint arXiv:2006.06863, 2020 | 2 | 2020 |
| SuperNeurons: FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks L Wang, W Wu, J Zhang, H Liu, G Bosilca, M Herlihy, R Fonseca Proceedings of the 29th International Symposium on High-Performance Parallel …, 2020 | 1 | 2020 |
Wei WuLos Alamos National LaboratoryVerified email at lanl.gov
