| Robust and differentially private mean estimation X Liu, W Kong, S Kakade, S Oh Advances in neural information processing systems 34, 3887-3901, 2021 | 64 | 2021 |
| Differential privacy and robust statistics in high dimensions X Liu, W Kong, S Oh Conference on Learning Theory, 1167-1246, 2022 | 45 | 2022 |
| Ko codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning AV Makkuva, X Liu, MV Jamali, H Mahdavifar, S Oh, P Viswanath International Conference on Machine Learning, 7368-7378, 2021 | 33 | 2021 |
| Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding MV Jamali, X Liu, AV Makkuva, H Mahdavifar, S Oh, P Viswanath arXiv preprint arXiv:2102.01671, 2021 | 16 | 2021 |
| Minimax optimal estimation of approximate differential privacy on neighboring databases X Liu, S Oh Advances in neural information processing systems 32, 2019 | 15* | 2019 |
| DP-PCA: Statistically optimal and differentially private PCA X Liu, W Kong, P Jain, S Oh Advances in neural information processing systems 35, 29929-29943, 2022 | 14 | 2022 |
| Mace: A flexible framework for membership privacy estimation in generative models Y Xu, S Mukherjee, X Liu, S Tople, R Dodhia, JL Ferres arXiv preprint arXiv:2009.05683, 2020 | 12 | 2020 |
| Near optimal private and robust linear regression X Liu, P Jain, W Kong, S Oh, AS Suggala arXiv preprint arXiv:2301.13273, 2023 | 4 | 2023 |
| Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes MV Jamali, X Liu, AV Makkuva, H Mahdavifar, S Oh, P Viswanath IEEE Journal on Selected Areas in Information Theory, 2023 | 2 | 2023 |
| Graph matching by graph neural network X Liu University of Illinois at Urbana-Champaign, 2018 | 1 | 2018 |
| Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency X Liu, P Jain, W Kong, S Oh, A Suggala Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes M Vahid Jamali, X Liu, A Vardhan Makkuva, H Mahdavifar, S Oh, ... arXiv e-prints, arXiv: 2301.06251, 2023 | | 2023 |
| Reconstruction of visual images from mouse retinal ganglion cell spiking activity using convolutional neural networks T Benster, D Babino, J Thickstun, M Hunt, X Liu, Z Harchaoui, S Oh, ... bioRxiv, 2022.06. 10.482188, 2022 | | 2022 |
| Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding A Makkuva, X Liu, V Jamali, H Mahdavifar, S Oh, P Viswanath IEEE Symposium on Information Theory, 2021 | | 2021 |
Sewoong OhPaul G. Allen School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
