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 | 2736 | 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 | 1158 | 2019 |
Deep graph library: Towards efficient and scalable deep learning on graphs MY Wang ICLR workshop on representation learning on graphs and manifolds, 2019 | 707 | 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 | 142 | 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 | 129* | 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 | 100 | 2020 |
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 | 80 | 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 | 72 | |
A calculational model of shear strain and strain rate within shear band in a serrated chip formed during high speed machining CZ Duan, MJ Wang, JZ Pang, GH Li Journal of materials processing technology 178 (1-3), 274-277, 2006 | 54 | 2006 |
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 | 32 | 2014 |
Deep graph library: towards efficient and scalable deep learning on graphs. CoRR abs/1909.01315 (2019) M Wang, L Yu, QG Da Zheng, Y Gai, Z Ye, M Li, J Zhou, Q Huang, C Ma, ... arXiv preprint arXiv:1909.01315, 2019 | 29 | 2019 |
Unifying data, model and hybrid parallelism in deep learning via tensor tiling M Wang, C Huang, J Li arXiv preprint arXiv:1805.04170, 2018 | 26 | 2018 |
Study on design and experiments of extrusion die for polypropylene single-lumen micro tubes GB Jin, DY Zhao, MJ Wang, YF Jin, HQ Tian, J Zhang Microsystem Technologies 21, 2495-2503, 2015 | 26 | 2015 |
Prediction of cutting force in five-axis flat-end milling ZC Wei, ML Guo, MJ Wang, SQ Li, SX Liu The International Journal of Advanced Manufacturing Technology 96, 137-152, 2018 | 25 | 2018 |
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 |
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 | 23 | 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 | 22 | 2021 |
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 | 19 | 2022 |
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 | 16 | 2020 |
Slicing parameters optimizing and experiments based on constant wire wear loss model in multi-wire saw Z Li, MJ Wang, X Pan, YM Ni The International Journal of Advanced Manufacturing Technology 81, 329-334, 2015 | 16 | 2015 |