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ORCIDMingsheng Hong
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- affiliation: Cornell University, Ithaca, USA
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2010 – 2019
- 2019
[c11]Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai:
TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning. SysML 2019- [i3]Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos, Allen Lavoie, Ashish Agarwal, Asim Shankar, Igor Ganichev, Josh Levenberg, Mingsheng Hong, Rajat Monga, Shanqing Cai:
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning. CoRR abs/1903.01855 (2019) - 2018
- [c10]Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake A. Hechtman:
Mesh-TensorFlow: Deep Learning for Supercomputers. NeurIPS 2018: 10435-10444 - [r2]Mingsheng Hong, Alan J. Demers, Johannes Gehrke, Mirek Riedewald:
Event and Pattern Detection over Streams. Encyclopedia of Database Systems (2nd ed.) 2018 - [i2]Noam Shazeer, Youlong Cheng, Niki Parmar, Dustin Tran, Ashish Vaswani, Penporn Koanantakool, Peter Hawkins, HyoukJoong Lee, Mingsheng Hong, Cliff Young, Ryan Sepassi, Blake A. Hechtman:
Mesh-TensorFlow: Deep Learning for Supercomputers. CoRR abs/1811.02084 (2018) - 2016
- [j5]Ashish Gupta, Fan Yang, Jason Govig, Adam Kirsch, Kelvin Chan, Kevin Lai, Shuo Wu, Sandeep Govind Dhoot, Abhilash Rajesh Kumar, Ankur Agiwal, Sanjay Bhansali, Mingsheng Hong, Jamie Cameron, Masood Siddiqi, David Jones, Jeff Shute, Andrey Gubarev, Shivakumar Venkataraman, Divyakant Agrawal:
Mesa: a geo-replicated online data warehouse for Google's advertising system. Commun. ACM 59(7): 117-125 (2016) - 2014
- [j4]Ashish Gupta, Fan Yang, Jason Govig, Adam Kirsch, Kelvin Chan, Kevin Lai, Shuo Wu, Sandeep Govind Dhoot, Abhilash Rajesh Kumar, Ankur Agiwal, Sanjay Bhansali, Mingsheng Hong, Jamie Cameron, Masood Siddiqi, David Jones, Jeff Shute, Andrey Gubarev, Shivakumar Venkataraman, Divyakant Agrawal:
Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing. Proc. VLDB Endow. 7(12): 1259-1270 (2014)
2000 – 2009
- 2009
- [b1]Mingsheng Hong:
Expressive and Scalable Event Stream Processing. Cornell University, USA, 2009 - [c9]Lars Brenna, Johannes Gehrke, Mingsheng Hong, Dag Johansen:
Distributed event stream processing with non-deterministic finite automata. DEBS 2009 - [c8]Mingsheng Hong, Mirek Riedewald, Christoph Koch, Johannes Gehrke, Alan J. Demers:
Rule-based multi-query optimization. EDBT 2009: 120-131 - [r1]Mingsheng Hong, Alan J. Demers, Johannes Gehrke, Mirek Riedewald:
Event and Pattern Detection over Streams. Encyclopedia of Database Systems 2009: 1029-1033 - 2008
- [j3]David B. Lomet, Mingsheng Hong, Rimma V. Nehme, Rui Zhang:
Transaction time indexing with version compression. Proc. VLDB Endow. 1(1): 870-881 (2008) - 2007
- [c7]Roger S. Barga, Jonathan Goldstein, Mohamed H. Ali, Mingsheng Hong:
Consistent Streaming Through Time: A Vision for Event Stream Processing. CIDR 2007: 363-374 - [c6]Mingsheng Hong, Alan J. Demers, Johannes Gehrke, Christoph Koch, Mirek Riedewald, Walker M. White:
Massively multi-query join processing in publish/subscribe systems. SIGMOD Conference 2007: 761-772 - [c5]Lars Brenna, Alan J. Demers, Johannes Gehrke, Mingsheng Hong, Joel Ossher, Biswanath Panda, Mirek Riedewald, Mohit Thatte, Walker M. White:
Cayuga: a high-performance event processing engine. SIGMOD Conference 2007: 1100-1102 - 2006
- [c4]Alan J. Demers, Johannes Gehrke, Mingsheng Hong, Mirek Riedewald, Walker M. White:
Towards Expressive Publish/Subscribe Systems. EDBT 2006: 627-644 - [i1]Roger S. Barga, Jonathan Goldstein, Mohamed H. Ali, Mingsheng Hong:
Consistent Streaming Through Time: A Vision for Event Stream Processing. CoRR abs/cs/0612115 (2006) - 2005
- [c3]Alan J. Demers, Johannes Gehrke, Mingsheng Hong, Mirek Riedewald:
Processing High-Speed Intelligence Feeds in Real-Time. ISI 2005: 617-618 - 2004
- [j2]Chen Wang, Mingsheng Hong, Wei Wang, Baile Shi:
Chopper: Efficient Algorithm for Tree Mining. J. Comput. Sci. Technol. 19(3): 309-319 (2004) - [j1]Wei Wang, Qingqing Yuan, Haofeng Zhou, Mingsheng Hong, Baile Shi:
Extracting Frequent Connected Subgraphs from Large Graph Sets. J. Comput. Sci. Technol. 19(6): 867-875 (2004) - [c2]Chen Wang, Mingsheng Hong, Jian Pei
, Haofeng Zhou, Wei Wang, Baile Shi:
Efficient Pattern-Growth Methods for Frequent Tree Pattern Mining. PAKDD 2004: 441-451 - 2003
- [c1]Mingsheng Hong, Haofeng Zhou, Wei Wang, Baile Shi:
An Efficient Algorithm of Frequent Connected Subgraph Extraction. PAKDD 2003: 40-51
Coauthor Index
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