| Randomized spectral clustering in large-scale stochastic block models H Zhang, X Guo, X Chang Journal of Computational and Graphical Statistics 31 (3), 887-906, 2022 | 33 | 2022 |
| Model selection and estimation in high dimensional regression models with group SCAD X Guo, H Zhang, Y Wang, JL Wu Statistics & Probability Letters 103, 86-92, 2015 | 31 | 2015 |
| Randomized Spectral Co-Clustering for Large-Scale Directed Networks X Guo, Y Qiu, H Zhang, X Chang Journal of Machine Learning Research 24 (380), 1-68, 2023 | 16 | 2023 |
| Spectral co-clustering in multi-layer directed networks W Su, X Guo, X Chang, Y Yang Computational Statistics & Data Analysis 198, 107987, 2024 | 11 | 2024 |
| Privacy-Preserving Community Detection for Locally Distributed Multiple Networks X Guo, X Li, X Chang, S Ma arXiv preprint arXiv:2306.15709, 2023 | 4 | 2023 |
| Sparse directed acyclic graphs incorporating the covariates X Guo, H Zhang Statistical Papers 61 (5), 2119-2148, 2020 | 4 | 2020 |
| 基于无标度先验的图模型的结构学习 G Xiao, Z Hai, W Jianglun 中国科学：信息科学 46 (7), 870-882, 2016 | 4* | 2016 |
| Federated Bayesian network learning from multi-site data S Liu, X Yan, X Guo, S Qi, H Wang, X Chang Journal of Biomedical Informatics, 104784, 2025 | 3* | 2025 |
| Fedpower: privacy-preserving distributed eigenspace estimation X Guo, X Li, X Chang, S Wang, Z Zhang Machine Learning, 1-32, 2024 | 3 | 2024 |
| Differentially private precision matrix estimation WQ Su, X Guo, H Zhang Acta Mathematica Sinica, English Series 36 (10), 1107-1124, 2020 | 3 | 2020 |
| The Anisian (Middle Triassic) brachiopods from the southern Qilian Mountains, north-western China Z Guo, ZQ Chen, Y Huang, H Chen, Y Qiu, X Guo Papers in Palaeontology 8 (5), e1468, 2022 | 2 | 2022 |
| Structured learning of time-varying networks with application to PM2.5 data X Guo, H Zhang Communications in Statistics-Simulation and Computation 50 (5), 1364-1382, 2021 | 1 | 2021 |
| Structure learning of sparse directed acyclic graphs incorporating the scale-free property X Guo, H Zhang, Y Wang, Y Liang Computational Statistics 34 (2), 713-742, 2019 | 1 | 2019 |
| Randomized Spectral Clustering for Large-Scale Multi-Layer Networks W Su, X Guo, X Chang, Y Yang arXiv preprint arXiv:2501.05326, 2025 | | 2025 |
| Online-Forgetting Process for Debiased-Lasso using Summary Statistics X Zhang, X Guo, H Zhang Available at SSRN 4977053, 2024 | | 2024 |
| Limit Results for Estimation of Connectivity Matrix in Multi-layer Stochastic Block Models W Su, X Guo, Y Yang arXiv preprint arXiv:2406.11152, 2024 | | 2024 |
| On the efficacy of higher-order spectral clustering under weighted stochastic block models X Guo, H Zhang, X Chang Computational Statistics & Data Analysis 190, 107872, 2024 | | 2024 |
| High-dimensional grouped folded concave penalized estimation via the LLA algorithm X Guo, Y Wang, H Zhang Journal of the Korean Statistical Society 48 (1), 84-96, 2019 | | 2019 |
| 基于稀疏图模型的 PM2. 5 分布的网络结构学习 张海， 郭骁， 任飒， 邓亚景 应用概率统计 35 (5), 495-507, 2019 | | 2019 |
