| 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 | 85 | 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 | 77* | 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 | 14 | 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 | 9* | 2018 |
| 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 | 9 | 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 | 4 | 2019 |
| 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 | 4 | 2018 |
| ALEX: An Updatable Adaptive Learned Index J Ding, UF Minhas, H Zhang, Y Li, C Wang, B Chandramouli, J Gehrke, ... arXiv preprint arXiv:1905.08898, 2019 | 1 | 2019 |
| 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 | | 2019 |
