| Asymptotic analysis of sampling estimators for randomized numerical linear algebra algorithms P Ma, Y Chen, X Zhang, X Xing, J Ma, MW Mahoney Journal of Machine Learning Research 23 (177), 1-45, 2022 | 54 | 2022 |
| Robust minimum variance portfolio with L-infinity constraints X Xing, J Hu, Y Yang Journal of Banking & Finance 46, 107-117, 2014 | 49 | 2014 |
| False discovery rate control via data splitting C Dai, B Lin, X Xing, JS Liu Journal of the American Statistical Association 118 (544), 2503-2520, 2023 | 47 | 2023 |
| Controlling false discovery rate using gaussian mirrors X Xing, Z Zhao, JS Liu Journal of the American Statistical Association 118 (541), 222-241, 2023 | 33 | 2023 |
| Reduction of mNAT1/hNAT2 contributes to cerebral endothelial necroptosis and Aβ accumulation in Alzheimer’s disease C Zou, L Mifflin, Z Hu, T Zhang, B Shan, H Wang, X Xing, H Zhu, ... Cell reports 33 (10), 2020 | 26 | 2020 |
| A scale-free approach for false discovery rate control in generalized linear models C Dai, B Lin, X Xing, JS Liu Journal of the American Statistical Association 118 (543), 1551-1565, 2023 | 23 | 2023 |
| MetaGen: reference-free learning with multiple metagenomic samples X Xing, JS Liu, W Zhong Genome biology 18, 1-15, 2017 | 15 | 2017 |
| Tensor sufficient dimension reduction W Zhong, X Xing, K Suslick Wiley Interdisciplinary Reviews: Computational Statistics 7 (3), 178-184, 2015 | 12 | 2015 |
| MetaBMF: a scalable binning algorithm for large-scale reference-free metagenomic studies T Ma, D Xiao, X Xing Bioinformatics 36 (2), 356-363, 2020 | 8 | 2020 |
| Probabilistic connection importance inference and lossless compression of deep neural networks X Xing, L Sha International Conference on Learning Representations, 2020 | 6 | 2020 |
| Minimax nonparametric parallelism test X Xing, M Liu, P Ma, W Zhong Journal of Machine Learning Research 21 (94), 1-47, 2020 | 6 | 2020 |
| Neural gaussian mirror for controlled feature selection in neural networks X Xing, Y Gui, C Dai, JS Liu arXiv preprint arXiv:2010.06175, 2020 | 3 | 2020 |
| Model-based sparse coding beyond Gaussian independent model X Xing, R Xie, W Zhong Computational Statistics & Data Analysis 166, 107336, 2022 | 2 | 2022 |
| NGM: Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks X Xing, Y Gui, C Dai, JS Liu 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 2 | 2020 |
| Minimax Nonparametric Two-sample Test under Smoothing X Xing, Z Shang, P Du, P Ma, W Zhong, JS Liu arXiv preprint arXiv:1911.02171, 2019 | 1 | 2019 |
| Minimax nonparametric two-sample test X Xing, Z Shang, P Du, P Ma, W Zhong, JS Liu arXiv preprint arXiv:1911.02171, 2019 | 1 | 2019 |
| Minimax Nonparametric Multi-sample Test under Smoothing X Xing, Z Shang, P Du, P Ma, W Zhong, JS Liu Statistica Sinica, 2024 | | 2024 |
| On the testing of multiple hypothesis in sliced inverse regression Z Zhao, X Xing arXiv preprint arXiv:2210.05873, 2022 | | 2022 |
| Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee Y Ye, M Liu, X Xing arXiv preprint arXiv:2205.10732, 2022 | | 2022 |
| Statistical methods with applications in epigenomics, metagenomics and neuroimaging X Xing University of Georgia, 2018 | | 2018 |
Jun S LiuProfessor of statistics, Harvard UniversityVerified email at stat.harvard.edu
