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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 | 110 | 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 | 70 | 2020 |
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Unifying data, model and hybrid parallelism in deep learning via tensor tiling M Wang, C Huang, J Li arXiv preprint arXiv:1805.04170, 2018 | 20 | 2018 |
MRI-based radiomics of rectal cancer: assessment of the local recurrence at the site of anastomosis F Chen, X Ma, S Li, Z Li, Y Jia, Y Xia, M Wang, F Shen, J Lu Academic Radiology 28, S87-S94, 2021 | 16 | 2021 |
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 | 15 | 2021 |
A scalable and topology configurable protocol for distributed parameter synchronization M Wang, H Zhou, M Guo, Z Zhang Proceedings of 5th Asia-Pacific Workshop on Systems, 1-7, 2014 | 12 | 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 | 11 | 2020 |
Roller embossing process for the replication of shark‐skin‐inspired micro‐riblets C Guo, Q Tian, H Wang, J Sun, L Du, M Wang, D Zhao Micro & Nano Letters 12 (7), 439-444, 2017 | 11 | 2017 |
Context-aware HCI service selection Y Shen, M Wang, X Tang, Y Luo, M Guo Mobile Information Systems 8 (3), 231-254, 2012 | 11 | 2012 |
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