Hui Miao

Hui Miao

Hui Miao has been at Google since Aug 2018. He contributes to the TensorFlow Extended (TFX) platform with research interests at the intersection of data management and machine learning. His work focuses on data and provenance system for continuous machine learning pipelines. Prior to joining Google, he completed his Ph.D. at the University of Maryland, College Park, advised by Prof. Amol Deshpande. His dissertation research focused on lifecycle management systems for collaborative data science workflows.

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    Google
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities
Doris Xin
Hui Miao
Aditya Parameswaran
Neoklis Polyzotis
ACM SIGMOD 2021
Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform
Denis M. Baylor
Kevin Haas
Konstantinos Katsiapis
Sammy W Leong
Rose Liu
Clemens Mewald
Hui Miao
Neoklis Polyzotis
Mitch Trott
Marty Zinkevich
In proceedings of USENIX OpML 2019
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