| Time-series anomaly detection service at microsoft H Ren, B Xu, Y Wang, C Yi, C Huang, X Kou, T Xing, M Yang, J Tong, ... Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 641 | 2019 |
| MODIST: Transparent model checking of unmodified distributed systems J Yang, T Chen, M Wu, Z Xu, X Liu, H Lin, M Yang, F Long, L Zhang, ... NSDI 2009, 213-228, 2009 | 334 | 2009 |
| An empirical study of collusion behavior in the maze p2p file-sharing system Q Lian, Z Zhang, M Yang, BY Zhao, Y Dai, X Li 27th International Conference on Distributed Computing Systems (ICDCS'07), 56-56, 2007 | 238 | 2007 |
| Comet: batched stream processing for data intensive distributed computing B He, M Yang, Z Guo, R Chen, B Su, W Lin, L Zhou Proceedings of the 1st ACM symposium on Cloud computing, 63-74, 2010 | 186 | 2010 |
| Estimating GPU memory consumption of deep learning models Y Gao, Y Liu, H Zhang, Z Li, Y Zhu, H Lin, M Yang Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 152 | 2020 |
| An empirical study of free-riding behavior in the Maze P2P file-sharing system M Yang, Z Zhang, X Li, Y Dai Peer-to-Peer Systems IV: 4th International Workshop, IPTPS 2005, Ithaca, NY …, 2005 | 133 | 2005 |
| Large graph processing in the cloud R Chen, X Weng, B He, M Yang Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 126 | 2010 |
| A neural corpus indexer for document retrieval Y Wang, Y Hou, H Wang, Z Miao, S Wu, Q Chen, Y Xia, C Chi, G Zhao, ... Advances in Neural Information Processing Systems 35, 25600-25614, 2022 | 119 | 2022 |
| Improving large graph processing on partitioned graphs in the cloud R Chen, M Yang, X Weng, B Choi, B He, X Li Proceedings of the Third ACM Symposium on Cloud Computing, 1-13, 2012 | 116 | 2012 |
| WRENCH: A comprehensive benchmark for weak supervision J Zhang, Y Yu, Y Li, Y Wang, Y Yang, M Yang, A Ratner arXiv preprint arXiv:2109.11377, 2021 | 115 | 2021 |
| Spann: Highly-efficient billion-scale approximate nearest neighborhood search Q Chen, B Zhao, H Wang, M Li, C Liu, Z Li, M Yang, J Wang Advances in Neural Information Processing Systems 34, 5199-5212, 2021 | 106 | 2021 |
| Robust incentives via multi‐level Tit‐for‐Tat Q Lian, Y Peng, M Yang, Z Zhang, Y Dai, X Li Concurrency and Computation: Practice and Experience 20 (2), 167-178, 2008 | 105 | 2008 |
| An empirical study on program failures of deep learning jobs R Zhang, W Xiao, H Zhang, Y Liu, H Lin, M Yang Proceedings of the ACM/IEEE 42nd international conference on software …, 2020 | 103 | 2020 |
| {HiveD}: Sharing a {GPU} cluster for deep learning with guarantees H Zhao, Z Han, Z Yang, Q Zhang, F Yang, L Zhou, M Yang, FCM Lau, ... 14th USENIX symposium on operating systems design and implementation (OSDI …, 2020 | 96 | 2020 |
| Rex: Replication at the speed of multi-core Z Guo, C Hong, M Yang, D Zhou, L Zhou, L Zhuang Proceedings of the Ninth European Conference on Computer Systems, 1-14, 2014 | 92 | 2014 |
| Longrope: Extending llm context window beyond 2 million tokens Y Ding, LL Zhang, C Zhang, Y Xu, N Shang, J Xu, F Yang, M Yang arXiv preprint arXiv:2402.13753, 2024 | 91 | 2024 |
| Failure recovery: When the cure is worse than the disease Z Guo, S McDirmid, M Yang, L Zhuang, P Zhang, Y Luo, T Bergan, ... 14th Workshop on Hot Topics in Operating Systems (HotOS XIV), 2013 | 83 | 2013 |
| {ROLLER}: Fast and efficient tensor compilation for deep learning H Zhu, R Wu, Y Diao, S Ke, H Li, C Zhang, J Xue, L Ma, Y Xia, W Cui, ... 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2022 | 76 | 2022 |
| Tutel: Adaptive mixture-of-experts at scale C Hwang, W Cui, Y Xiong, Z Yang, Z Liu, H Hu, Z Wang, R Salas, J Jose, ... Proceedings of Machine Learning and Systems 5, 269-287, 2023 | 73 | 2023 |
| Deployment of a large-scale peer-to-peer social network M Yang, H Chen, BY Zhao, Y Dai, Z Zhang USENIX, 2004 | 70 | 2004 |
Lidong ZhouMicrosoft ResearchEmail verificata su microsoft.com
