| Distributed High-dimensional Regression Under a Quantile Loss Function X Chen, W Liu, X Mao, Z Yang Journal of Machine Learning Research 21 (182), 1-43, 2020 | 78 | 2020 |
| Matrix Completion with Covariate Information X Mao, SX Chen, RKW Wong Journal of the American Statistical Association 114 (525), 198-210, 2019 | 29 | 2019 |
| Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. J Tu, W Liu, X Mao, X Chen Journal of Machine Learning Research 22 (84), 1-67, 2021 | 21 | 2021 |
| Adjusting for spatial effects in genomic prediction X Mao, S Dutta, RKW Wong, D Nettleton Journal of Agricultural, Biological and Environmental Statistics 25, 699-718, 2020 | 13 | 2020 |
| Nonparametric feature selection by random forests and deep neural networks X Mao, L Peng, Z Wang Computational Statistics & Data Analysis 170, 107436, 2022 | 12 | 2022 |
| Byzantine-robust distributed sparse learning for M-estimation J Tu, W Liu, X Mao Machine Learning 112 (10), 3773-3804, 2023 | 10 | 2023 |
| Fast and robust sparsity learning over networks: A decentralized surrogate median regression approach W Liu, X Mao, X Zhang IEEE Transactions on Signal Processing 70, 797-809, 2022 | 9 | 2022 |
| DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI Y Zhang, X Mao, J Wang, W Liu IEEE Journal of Selected Topics in Signal Processing 16 (4), 725 - 736, 2022 | 8 | 2022 |
| Matrix Completion with Model-free Weighting J Wang, RKW Wong, X Mao, KCG Chan International Conference on Machine Learning, 10927-10936, 2021 | 7 | 2021 |
| Matrix Completion under Low-Rank Missing Mechanism X Mao, RKW Wong, SX Chen Statistica Sinica 31 (4), 2005-2030, 2021 | 7 | 2021 |
| Robust Reduced Rank Regression in a Distributed Setting X Chen, W Liu, X Mao SCIENCE CHINA Mathematics 65, 1707–1730, 2022 | 5 | 2022 |
| Automatic generation of electromyogram diagnosis report Q Gu, C Nie, R Zou, W Chen, C Zheng, D Zhu, X Mao, Z Wei, D Tian 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 4 | 2020 |
| Matrix completion under complex survey sampling X Mao, Z Wang, S Yang Annals of the Institute of Statistical Mathematics 75 (3), 463-492, 2023 | 3* | 2023 |
| Uncertainty modeling in generative compressed sensing Y Zhang, M Xu, X Mao, J Wang International Conference on Machine Learning, 26655-26668, 2022 | 3 | 2022 |
| Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy Z Xiong, J Sun, X Mao, J Wang, Y Shan, Z Huang Proceedings of the ACM Web Conference 2022, 599-609, 2022 | 3* | 2022 |
| Efficient sparse least absolute deviation regression with differential privacy W Liu, X Mao, X Zhang, X Zhang IEEE Transactions on Information Forensics and Security, 2024 | 2 | 2024 |
| Distributed semi-supervised sparse statistical inference J Tu, W Liu, X Mao, M Xu IEEE Transactions on Information Theory, 2023 | 2 | 2023 |
| Majority vote for distributed differentially private sign selection W Liu, J Tu, X Mao, X Chen arXiv preprint arXiv:2209.04419, 2022 | 2 | 2022 |
| Byzantine-tolerant distributed multiclass sparse linear discriminant analysis Y Bao, W Liu, X Mao, W Xiong Uncertainty in Artificial Intelligence, 129-138, 2022 | 2 | 2022 |
| Median matrix completion: From embarrassment to optimality W Liu, X Mao, RKW Wong International Conference on Machine Learning, 6294-6304, 2020 | 2 | 2020 |
