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ORCIDMing Wu 0007
Person information
- affiliation: Conflux Foundation, Singapore
- affiliation: Microsoft Research Asia, MSRA, Systems Research Group, China
- affiliation (PhD 2007): Chinese Academy of Science, Institute of Computing Technology, Beijing, China
Other persons with the same name
- Ming Wu — disambiguation page
- Ming Wu 0001
![[0000-0001-8390-5398]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8390-5398")
— Beijing University of Posts and Telecommunications, School of Artificial Intelligence, Pattern Recognition and Intelligent System Lab, China - Ming Wu 0002 — Shirley Ryan AbilityLab, IL, USA (and 1 more)
- Ming Wu 0003 — University of Science and Technology of China, School of Computer Science, Hefei, China
- Ming Wu 0004 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Ming Wu 0005 — University of Chinese Academy of Sciences, Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Beijing, China
- Ming Wu 0006 — Illinois Institute of Technology, Department of Computer Science, Chicago, IL, USA
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Journal Articles
- 2024
[j5]Chenxing Li, Sidi Mohamed Beillahi, Guang Yang, Ming Wu, Wei Xu, Fan Long:
LVMT: An Efficient Authenticated Storage for Blockchain. ACM Trans. Storage 20(3): 17 (2024)- 2020
- [j4]Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou:
Distributed Graph Computation Meets Machine Learning. IEEE Trans. Parallel Distributed Syst. 31(7): 1588-1604 (2020) - 2019
- [j3]Han Zhao, Quan Chen, Yuxian Qiu, Ming Wu, Yao Shen, Jingwen Leng, Chao Li, Minyi Guo:
Bandwidth and Locality Aware Task-stealing for Manycore Architectures with Bandwidth-Asymmetric Memory. ACM Trans. Archit. Code Optim. 15(4): 55:1-55:26 (2019) - [j2]Shijie Cao, Lanshun Nie, De-chen Zhan, Wenqiang Wang, Ningyi Xu, Ramashis Das, Ming Wu, Lintao Zhang, Derek Chiou:
FlexSaaS: A Reconfigurable Accelerator for Web Search Selection. ACM Trans. Reconfigurable Technol. Syst. 12(1): 5:1-5:20 (2019) - 2015
- [j1]Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Enhong Chen, Wenguang Chen:
ImmortalGraph: A System for Storage and Analysis of Temporal Graphs. ACM Trans. Storage 11(3): 14:1-14:34 (2015)
Conference and Workshop Papers
- 2023
- [c27]Mingxun Zhou, Liyi Zeng, Yilin Han, Peilun Li, Fan Long, Dong Zhou, Ivan Beschastnikh, Ming Wu:
Mercury: Fast Transaction Broadcast in High Performance Blockchain Systems. INFOCOM 2023: 1-10 - [c26]Chenxing Li, Sidi Mohamed Beillahi, Guang Yang, Ming Wu, Wei Xu, Fan Long:
LVMT: An Efficient Authenticated Storage for Blockchain. OSDI 2023: 135-153 - 2022
- [c25]Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang:
REFTY: Refinement Types for Valid Deep Learning Models. ICSE 2022: 1843-1855 - [c24]Péter Garamvölgyi, Yuxi Liu, Dong Zhou, Fan Long, Ming Wu:
Utilizing Parallelism in Smart Contracts on Decentralized Blockchains by Taming Application-Inherent Conflicts. ICSE 2022: 2315-2326 - 2020
- [c23]Yilin Han, Chenxing Li, Peilun Li, Ming Wu, Dong Zhou, Fan Long:
Shrec: bandwidth-efficient transaction relay in high-throughput blockchain systems. SoCC 2020: 238-252 - [c22]Chenxing Li, Peilun Li, Dong Zhou, Zhe Yang, Ming Wu, Guang Yang, Wei Xu, Fan Long, Andrew Chi-Chih Yao:
A Decentralized Blockchain with High Throughput and Fast Confirmation. USENIX ATC 2020: 515-528 - 2019
- [c21]Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou:
Fast Distributed Deep Learning over RDMA. EuroSys 2019: 44:1-44:14 - [c20]Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang:
Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. FPGA 2019: 63-72 - [c19]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. USENIX ATC 2019: 443-458 - 2018
- [c18]Hanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai:
SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines. SoCC 2018: 68-81 - 2017
- [c17]Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou:
Tux2: Distributed Graph Computation for Machine Learning. NSDI 2017: 669-682 - 2015
- [c16]Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou:
GraM: scaling graph computation to the trillions. SoCC 2015: 408-421 - 2014
- [c15]Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen:
Chronos: a graph engine for temporal graph analysis. EuroSys 2014: 1:1-1:14 - [c14]Eric Boutin, Jaliya Ekanayake, Wei Lin, Bing Shi, Jingren Zhou, Zhengping Qian, Ming Wu, Lidong Zhou:
Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing. OSDI 2014: 285-300 - 2013
- [c13]Mahesh Balakrishnan, Dahlia Malkhi, Ted Wobber, Ming Wu, Vijayan Prabhakaran, Michael Wei, John D. Davis, Sriram Rao, Tao Zou, Aviad Zuck:
Tango: distributed data structures over a shared log. SOSP 2013: 325-340 - 2012
- [c12]Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen:
Kineograph: taking the pulse of a fast-changing and connected world. EuroSys 2012: 85-98 - [c11]Vijayan Prabhakaran, Ming Wu, Xuetian Weng, Frank McSherry, Lidong Zhou, Maya Haradasan:
Managing Large Graphs on Multi-Cores with Graph Awareness. USENIX ATC 2012: 41-52 - 2011
- [c10]Cheng Zhang, Zhenyu Guo, Ming Wu, Longwen Lu, Yu Fan, Jianjun Zhao, Zheng Zhang:
AutoLog: facing log redundancy and insufficiency. APSys 2011: 10 - [c9]Jinghao Shi, Mingyuan Xia, Ming Wu, Lintao Zhang, Zheng Zhang:
SLIM: Mmap from the cloud to device, and back. APSys 2011: 16 - [c8]Huayang Guo, Ming Wu, Lidong Zhou, Gang Hu, Junfeng Yang, Lintao Zhang:
Practical software model checking via dynamic interface reduction. SOSP 2011: 265-278 - 2010
- [c7]Ming Wu, Fan Long, Xi Wang, Zhilei Xu, Haoxiang Lin, Xuezheng Liu, Zhenyu Guo, Huayang Guo, Lidong Zhou, Zheng Zhang:
Language-based replay via data flow cut. SIGSOFT FSE 2010: 197-206 - 2009
- [c6]Zhengwei Qi, Alei Liang, Haibing Guan, Ming Wu, Zheng Zhang:
A Hybrid Model Checking and Runtime Monitoring Method for C++ Web Services. NCM 2009: 745-750 - [c5]Junfeng Yang, Tisheng Chen, Ming Wu, Zhilei Xu, Xuezheng Liu, Haoxiang Lin, Mao Yang, Fan Long, Lintao Zhang, Lidong Zhou:
MODIST: Transparent Model Checking of Unmodified Distributed Systems. NSDI 2009: 213-228 - [c4]Ruini Xue, Xuezheng Liu, Ming Wu, Zhenyu Guo, Wenguang Chen, Weimin Zheng, Zheng Zhang, Geoffrey M. Voelker:
MPIWiz: subgroup reproducible replay of mpi applications. PPoPP 2009: 251-260 - 2008
- [c3]Xuezheng Liu, Zhenyu Guo, Xi Wang, Feibo Chen, Xiaochen Lian, Jian Tang, Ming Wu, M. Frans Kaashoek, Zheng Zhang:
D3S: Debugging Deployed Distributed Systems. NSDI 2008: 423-437 - [c2]Silas Boyd-Wickizer, Haibo Chen, Rong Chen, Yandong Mao, M. Frans Kaashoek, Robert Tappan Morris, Aleksey Pesterev, Lex Stein, Ming Wu, Yue-hua Dai, Yang Zhang, Zheng Zhang:
Corey: An Operating System for Many Cores. OSDI 2008: 43-57 - [c1]Zhenyu Guo, Xi Wang, Jian Tang, Xuezheng Liu, Zhilei Xu, Ming Wu, M. Frans Kaashoek, Zheng Zhang:
R2: An Application-Level Kernel for Record and Replay. OSDI 2008: 193-208
Informal and Other Publications
- 2022
- [i3]Péter Garamvölgyi, Yuxi Liu, Dong Zhou, Fan Long, Ming Wu:
Utilizing Parallelism in Smart Contracts on Decentralized Blockchains by Taming Application-Inherent Conflicts. CoRR abs/2201.03749 (2022) - 2018
- [i2]Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou:
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA. CoRR abs/1805.08430 (2018) - [i1]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
Towards Efficient Large-Scale Graph Neural Network Computing. CoRR abs/1810.08403 (2018)
Coauthor Index
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