Hantian Zhang
Hantian Zhang
Verified email at gatech.edu - Homepage
Cited by
Cited by
Zipml: Training linear models with end-to-end low precision, and a little bit of deep learning
H Zhang, J Li, K Kara, D Alistarh, J Liu, C Zhang
International Conference on Machine Learning, 4035-4043, 2017
Generative adversarial networks recover features in astrophysical images of galaxies beyond the deconvolution limit
K Schawinski, C Zhang, H Zhang, L Fowler, GK Santhanam
Monthly Notices of the Royal Astronomical Society: Letters 467 (1), L110-L114, 2017
ALEX: an updatable adaptive learned index
J Ding, UF Minhas, J Yu, C Wang, J Do, Y Li, H Zhang, B Chandramouli, ...
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
Scalable inference of decision tree ensembles: Flexible design for CPU-FPGA platforms
M Owaida, H Zhang, C Zhang, G Alonso
2017 27th International Conference on Field Programmable Logic and …, 2017
MLbench: benchmarking machine learning services against human experts
Y Liu, H Zhang, L Zeng, W Wu, C Zhang
Proceedings of the VLDB Endowment 11 (10), 1220-1232, 2018
Accelerating generalized linear models with MLWeaving: A one-size-fits-all system for any-precision learning
Z Wang, K Kara, H Zhang, G Alonso, O Mutlu, C Zhang
Proceedings of the VLDB Endowment 12 (7), 807-821, 2019
psfgan: a generative adversarial network system for separating quasar point sources and host galaxy light
D Stark, B Launet, K Schawinski, C Zhang, M Koss, MD Turp, LF Sartori, ...
Monthly Notices of the Royal Astronomical Society 477 (2), 2513-2527, 2018
Generative adversarial networks as a tool to recover structural information from cryo-electron microscopy data
M Su, H Zhang, K Schawinski, C Zhang, MA Cianfrocco
BioRxiv, 256792, 2018
How good are machine learning clouds for binary classification with good features? extended abstract
H Zhang, L Zeng, W Wu, C Zhang
Proceedings of the 2017 Symposium on Cloud Computing, 649-649, 2017
Speeding Up Percolator
JT Halloran, H Zhang, K Kara, C Renggli, M The, C Zhang, DM Rocke, ...
Journal of Proteome Research 18 (9), 3353-3359, 2019
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning (Technical Report)
Z Wang, K Kara, H Zhang, G Alonso, O Mutlu, C Zhang
arXiv preprint arXiv:1903.03404, 2019
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