Mingsheng Hong

Publication Activity (10 Years)

Years Active: 2003-2019
Publications (10 Years): 5

Top Topics

Machine Learning

Attack Detection

Data Warehousing

Top Venues

Proc. VLDB Endow.

Publications

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. MLSys (2019)
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 (2019)
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 (2018)
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)
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) (2016)
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) (2014)
Lars Brenna, Johannes Gehrke, Mingsheng Hong, Dag Johansen
Distributed event stream processing with non-deterministic finite automata. DEBS (2009)
Mingsheng Hong, Mirek Riedewald, Christoph Koch, Johannes Gehrke, Alan J. Demers
Rule-based multi-query optimization. EDBT (2009)
David B. Lomet, Mingsheng Hong, Rimma V. Nehme, Rui Zhang
Transaction time indexing with version compression. Proc. VLDB Endow. 1 (1) (2008)
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)
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)
Roger S. Barga, Jonathan Goldstein, Mohamed H. Ali, Mingsheng Hong
Consistent Streaming Through Time: A Vision for Event Stream Processing. CIDR (2007)
Alan J. Demers, Johannes Gehrke, Mingsheng Hong, Mirek Riedewald, Walker M. White
Towards Expressive Publish/Subscribe Systems. EDBT (2006)
Roger S. Barga, Jonathan Goldstein, Mohamed H. Ali, Mingsheng Hong
Consistent Streaming Through Time: A Vision for Event Stream Processing CoRR (2006)
Alan J. Demers, Johannes Gehrke, Mingsheng Hong, Mirek Riedewald
Processing High-Speed Intelligence Feeds in Real-Time. ISI (2005)
Wei Wang, Qingqing Yuan, Haofeng Zhou, Mingsheng Hong, Baile Shi
Extracting Frequent Connected Subgraphs from Large Graph Sets. J. Comput. Sci. Technol. 19 (6) (2004)
Chen Wang, Mingsheng Hong, Wei Wang, Baile Shi
Chopper: Efficient Algorithm for Tree Mining. J. Comput. Sci. Technol. 19 (3) (2004)
Chen Wang, Mingsheng Hong, Jian Pei, Haofeng Zhou, Wei Wang, Baile Shi
Efficient Pattern-Growth Methods for Frequent Tree Pattern Mining. PAKDD (2004)
Mingsheng Hong, Haofeng Zhou, Wei Wang, Baile Shi
An Efficient Algorithm of Frequent Connected Subgraph Extraction. PAKDD (2003)