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 | 2877 | 2015 |
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 | 2150* | 2019 |
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 | 262* | 2020 |
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 | 188 | 2019 |
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 | 98 | 2020 |
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 | 88 | |
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 | 61 | 2022 |
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 | 40 | 2019 |
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 | 33 | 2014 |
Unifying data, model and hybrid parallelism in deep learning via tensor tiling M Wang, C Huang, J Li arXiv preprint arXiv:1805.04170, 2018 | 31 | 2018 |
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 | 26 | 2022 |
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 | 25 | 2021 |
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 | 25 | 2014 |
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 | 21 | 2020 |
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 | 19 | 2010 |
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 | 16 | 2012 |
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 | 15 | 2010 |
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 | 14 | 2011 |
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 | 13 | 2013 |
Numerical simulation and experimental study of polymer micro extrusion flow D Zhao, Y Jin, M Wang, K Li, M Song 2009 International Conference on Mechatronics and Automation, 3155-3160, 2009 | 13 | 2009 |