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OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning

Mar 13, 2021
Hantian Zhang, Xu Chu, Abolfazl Asudeh, Shamkant B. Navathe

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ALEX: An Updatable Adaptive Learned Index

May 21, 2019
Jialin Ding, Umar Farooq Minhas, Hantian Zhang, Yinan Li, Chi Wang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David Lomet

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Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report)

Mar 28, 2019
Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Onur Mutlu, Ce Zhang

* PVLDB, 2019 
* 18 pages 

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MLBench: How Good Are Machine Learning Clouds for Binary Classification Tasks on Structured Data?

Oct 16, 2017
Yu Liu, Hantian Zhang, Luyuan Zeng, Wentao Wu, Ce Zhang

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The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning

Jun 19, 2017
Hantian Zhang, Jerry Li, Kaan Kara, Dan Alistarh, Ji Liu, Ce Zhang

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Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit

Feb 01, 2017
Kevin Schawinski, Ce Zhang, Hantian Zhang, Lucas Fowler, Gokula Krishnan Santhanam

* Accepted for publication in MNRAS, for the full code and a virtual machine set up to run it, see 

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