An Efficient Algorithm of Frequent Connected Subgraph Extraction. - Mingsheng Hong; Haofeng Zhou; Wei Wang 009; Baile Shi (PAKDD, 2003)

Efficient Pattern-Growth Methods for Frequent Tree Pattern Mining. - Chen Wang 035; Mingsheng Hong; Jian Pei 001; Haofeng Zhou; Wei Wang 009; Baile Shi (PAKDD, 2004)

Chopper: Efficient Algorithm for Tree Mining. - Chen Wang 035; Mingsheng Hong; Wei Wang 009; Baile Shi (J. Comput. Sci. Technol., 2004)

Extracting Frequent Connected Subgraphs from Large Graph Sets. - Wei Wang 009; Qingqing Yuan; Haofeng Zhou; Mingsheng Hong; Baile Shi (J. Comput. Sci. Technol., 2004)

Processing High-Speed Intelligence Feeds in Real-Time. - Alan J. Demers; Johannes Gehrke; Mingsheng Hong; Mirek Riedewald (ISI, 2005)

Towards Expressive Publish/Subscribe Systems. - Alan J. Demers; Johannes Gehrke; Mingsheng Hong; Mirek Riedewald; Walker M. White (EDBT, 2006)

Consistent Streaming Through Time: A Vision for Event Stream Processing. - Roger S. Barga; Jonathan Goldstein; Mohamed H. Ali; Mingsheng Hong (CIDR, 2007)

Cayuga: a high-performance event processing engine. - Lars Brenna; Alan J. Demers; Johannes Gehrke; Mingsheng Hong; Joel Ossher; Biswanath Panda; Mirek Riedewald; Mohit Thatte; Walker M. White (SIGMOD Conference, 2007)

Massively multi-query join processing in publish/subscribe systems. - Mingsheng Hong; Alan J. Demers; Johannes Gehrke; Christoph Koch 001; Mirek Riedewald; Walker M. White (SIGMOD Conference, 2007)

Transaction time indexing with version compression. - David B. Lomet; Mingsheng Hong; Rimma V. Nehme; Rui Zhang 003 (Proc. VLDB Endow., 2008)

Distributed event stream processing with non-deterministic finite automata. - Lars Brenna; Johannes Gehrke; Mingsheng Hong; Dag Johansen (DEBS, 2009)

Rule-based multi-query optimization. - Mingsheng Hong; Mirek Riedewald; Christoph Koch 001; Johannes Gehrke; Alan J. Demers (EDBT, 2009)

Expressive and Scalable Event Stream Processing. - Mingsheng Hong (2009)

Event and Pattern Detection over Streams. - Mingsheng Hong; Alan J. Demers; Johannes Gehrke; Mirek Riedewald (Encyclopedia of Database Systems, 2009)

Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing. - 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; et al. (Proc. VLDB Endow., 2014)

Mesa: a geo-replicated online data warehouse for Google's advertising system. - 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; et al. (Commun. ACM, 2016)

Mesh-TensorFlow: Deep Learning for Supercomputers. - 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 (NeurIPS, 2018)

Event and Pattern Detection over Streams. - Mingsheng Hong; Alan J. Demers; Johannes Gehrke; Mirek Riedewald (Encyclopedia of Database Systems (2nd ed.), 2018)

TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning. - Akshay Agrawal; Akshay Naresh Modi; Alexandre Passos; Allen Lavoie; Ashish Agarwal; Asim Shankar; Igor Ganichev; Josh Levenberg; Mingsheng Hong; Rajat Monga; Shanqing Cai (SysML, 2019)