Linnan Wang
Title
Cited by
Cited by
Year
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
1262018
Accelerating Deep Neural Network Training With Inconsistent Stochastic Gradient Descent
L Wang, Y Yang, R Min, S Chakradhar
Neural Networks 93, 219-229, 2017
762017
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
742018
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
612016
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
58*2020
Sample-Efficient Neural Architecture Search by Learning Action Space for Monte Carlo Tree Search
L Wang, S Xie, T Li, R Fonseca, Y Tian
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
32*2021
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
202018
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
192018
Efficient Communications in Training Large Scale Neural Networks
Y Zhao, L Wang, W Wu, G Bosilca, R Vuduc, J Ye, W Tang, Z Xu
142017
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
L Wang, R Fonseca, Y Tian
NeurIPS 2020, 2020
132020
Few-shot Neural Architecture Search
Y Zhao, L Wang, Y Tian, R Fonseca, T Guo
ICML 2021, 2021
122021
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
82017
Large Scale Artificial Neural Network Training Using Multi-GPUs
L Wang, W Wu, J Xiao, Y Yi
Supercomputing 16, 2016
82016
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
62020
Learning Space Partitions for Path Planning
K Yang, T Zhang, C Cummins, B Cui, B Steiner, L Wang, JE Gonzalez, ...
arXiv preprint arXiv:2106.10544, 2021
2021
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