| 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 | 315 | 2020 |
| 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 | 282 | 2017 |
| 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 | 247* | 2017 |
| 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 | 58 | 2017 |
| Omnifair: A declarative system for model-agnostic group fairness in machine learning H Zhang, X Chu, A Asudeh, SB Navathe Proceedings of the 2021 international conference on management of data, 2076 …, 2021 | 50 | 2021 |
| 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 | 36* | 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 | 32 | 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 | 23 | 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 | 23 | 2018 |
| FairRover: explorative model building for fair and responsible machine learning H Zhang, N Shahbazi, X Chu, A Asudeh Proceedings of the Fifth Workshop on Data Management for End-To-End Machine …, 2021 | 20 | 2021 |
| MNRAS: Letters 467 K Schawinski, C Zhang, H Zhang, L Fowler, GK Santhanam L110, 2017 | 19 | 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 | 9 | 2019 |
| iflipper: Label flipping for individual fairness H Zhang, KH Tae, J Park, X Chu, SE Whang Proceedings of the ACM on Management of Data 1 (1), 1-26, 2023 | 6 | 2023 |
| Generative adversarial networks recover features in astrophysical images of galaxies beyond the deconvolution limit., 467: L110–L114 K Schawinski, C Zhang, H Zhang, L Fowler, GK Santhanam May, 2017 | 3 | 2017 |
| 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 | 1 | 2019 |
| 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 | 1 | 2017 |
| Falcon: Fair Active Learning using Multi-armed Bandits KH Tae, H Zhang, J Park, K Rong, SE Whang arXiv preprint arXiv:2401.12722, 2024 | | 2024 |
Ce ZhangTogether AI; University of ChicagoVerified email at together.xyz
