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Minjie Wang
Minjie Wang
AWS Shanghai AI Lab
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
T Chen, M Li, Y Li, M Lin, N Wang, M Wang, T Xiao, B Xu, C Zhang, ...
arXiv preprint arXiv:1512.01274, 2015
27602015
Deep graph library: A graph-centric, highly-performant package for graph neural networks
M Wang, D Zheng, Z Ye, Q Gan, M Li, X Song, J Zhou, C Ma, L Yu, Y Gai, ...
arXiv preprint arXiv:1909.01315, 2019
1938*2019
Supporting very large models using automatic dataflow graph partitioning
M Wang, C Huang, J Li
Proceedings of the Fourteenth EuroSys Conference 2019, 1-17, 2019
1462019
Distdgl: distributed graph neural network training for billion-scale graphs
D Zheng, C Ma, M Wang, J Zhou, Q Su, X Song, Q Gan, Z Zhang, ...
2020 IEEE/ACM 10th Workshop on Irregular Applications: Architectures and …, 2020
131*2020
Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, and George Karypis. 2020. DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
CM Da Zheng, M Wang, J Zhou
arXiv preprint arXiv:2010.05337, 2020
1012020
Featgraph: A flexible and efficient backend for graph neural network systems
Y Hu, Z Ye, M Wang, J Yu, D Zheng, M Li, Z Zhang, Z Zhang, Y Wang
SC20: International Conference for High Performance Computing, Networking …, 2020
812020
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems. arXiv 2015
T Chen, M Li, Y Li, M Lin, N Wang, M Wang, T Xiao, B Xu, C Zhang, ...
arXiv preprint arXiv:1512.01274, 0
74
Distributed hybrid cpu and gpu training for graph neural networks on billion-scale heterogeneous graphs
D Zheng, X Song, C Yang, D LaSalle, G Karypis
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
442022
Deep graph library: A graph-centric, highly-performant package for graph neural networks. arXiv
M Wang, D Zheng, Z Ye, Q Gan, M Li, X Song, J Zhou, C Ma, L Yu, Y Gai, ...
Learning, 2019
362019
Minerva: A scalable and highly efficient training platform for deep learning
M Wang, T Xiao, J Li, J Zhang, C Hong, Z Zhang
NIPS Workshop, Distributed Machine Learning and Matrix Computations, 51, 2014
322014
Unifying data, model and hybrid parallelism in deep learning via tensor tiling
M Wang, C Huang, J Li
arXiv preprint arXiv:1805.04170, 2018
262018
Impression store: Compressive sensing-based storage for big data analytics
J Zhang, Y Yan, LJ Chen, M Wang, T Moscibroda, Z Zhang
6th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 14), 2014
252014
Scalable graph neural networks with deep graph library
D Zheng, M Wang, Q Gan, X Song, Z Zhang, G Karypis
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
242021
Graphiler: Optimizing graph neural networks with message passing data flow graph
Z Xie, M Wang, Z Ye, Z Zhang, R Fan
Proceedings of Machine Learning and Systems 4, 515-528, 2022
222022
Learning graph neural networks with deep graph library
D Zheng, M Wang, Q Gan, Z Zhang, G Karypis
Companion Proceedings of the Web Conference 2020, 305-306, 2020
182020
Study on viscosity of polymer melt flowing through microchannels considering the wall‐slip effect
D Zhao, Y Jin, M Wang
Polymer Engineering & Science 52 (8), 1806-1814, 2012
162012
Viscous dissipation influencing viscosity of polymer melt in micro channels
B Xu, M Wang, T Yu, D Zhao
Journal of Mechanical science and technology 24, 1417-1423, 2010
162010
Theoretical and experimental approach of the viscosity of polymer melt under micro-scale effect
徐斌, 王敏杰, 于同敏, 赵丹阳
Journal of Mechanical Engineering 46 (19), 125-132, 2010
152010
Microcosmic mechanism of material softening and fracture in primary shear zone during high speed machining of hardened steel
CZ Duan, MJ Wang, YJ Cai, T Dou
Materials Science and Technology 27 (3), 625-630, 2011
142011
Form error compensation in ball-end milling of sculptured surface with z-level contouring tool path
ZC Wei, MJ Wang, WC Tang, JN Zhu, GC Xia
The International Journal of Advanced Manufacturing Technology 67, 2853-2861, 2013
132013
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