| Batch effects removal for microbiome data via conditional quantile regression W Ling, J Lu, N Zhao, A Lulla, AM Plantinga, W Fu, A Zhang, H Liu, ... Nature communications 13 (1), 5418, 2022 | 30 | 2022 |
| Generalized kernel two-sample tests H Song, H Chen arXiv preprint arXiv:2011.06127, 2020 | 11 | 2020 |
| Asymptotic distribution-free changepoint detection for data with repeated observations H Song, H Chen Biometrika 109 (3), 783-798, 2022 | 7 | 2022 |
| New kernel-based change-point detection H Song, H Chen arXiv Preprint, 2022 | 5 | 2022 |
| Accommodating multiple potential normalizations in microbiome associations studies H Song, W Ling, N Zhao, AM Plantinga, CA Broedlow, NR Klatt, ... BMC bioinformatics 24 (1), 1-15, 2023 | 3 | 2023 |
| New graph-based multi-sample tests for high-dimensional and non-Euclidean data H Song, H Chen arXiv preprint arXiv:2205.13787, 2022 | 2 | 2022 |
| A fast and effective large-scale two-sample test based on kernels H Song, H Chen arXiv preprint arXiv:2110.03118, 2021 | 2 | 2021 |
| Preventing failures by dataset shift detection in safety-critical graph applications H Song, JJ Thiagarajan, B Kailkhura Frontiers in Artificial Intelligence 4, 589632, 2021 | 2 | 2021 |
| Limitation of permutation‐based differential correlation analysis H Song, MC Wu Genetic Epidemiology 47 (8), 583-642, 2023 | | 2023 |
| Multivariate Differential Association Analysis H Song, MC Wu arXiv preprint arXiv:2307.15268, 2023 | | 2023 |
| A fast kernel independence test for cluster-correlated data H Song, H Liu, MC Wu Scientific Reports 12 (1), 21659, 2022 | | 2022 |
| Practical and powerful kernel-based change-point detection H Song, H Chen arXiv preprint arXiv:2206.01853, 2022 | | 2022 |
| New Kernel-based Methods for High-dimensional Inferences H Song University of California, Davis, 2021 | | 2021 |
