| Estimation methods for time‐dependent AUC models with survival data H Hung, CT Chiang Canadian Journal of Statistics 38 (1), 8-26, 2010 | 182 | 2010 |
| Matrix variate logistic regression model with application to EEG data H Hung, CC Wang Biostatistics 14 (1), 189-202, 2013 | 89 | 2013 |
| On multilinear principal component analysis of order-two tensors H Hung, P Wu, I Tu, S Huang Biometrika 99 (3), 569-583, 2012 | 56 | 2012 |
| Robust mislabel logistic regression without modeling mislabel probabilities H Hung, ZY Jou, SY Huang Biometrics 74 (1), 145-154, 2018 | 44 | 2018 |
| Optimal composite markers for time‐dependent receiver operating characteristic curves with censored survival data H Hung, C Chiang Scandinavian journal of statistics 37 (4), 664-679, 2010 | 36 | 2010 |
| Non‐parametric estimation for time-dependent AUC CT Chiang, H Hung Journal of Statistical Planning and Inference 140 (5), 1162-1174, 2010 | 36 | 2010 |
| -SUP: A clustering algorithm for cryo-electron microscopy images of asymmetric particles TL Chen, DN Hsieh, H Hung, IP Tu, PS Wu, YM Wu, WH Chang, ... | 28 | 2014 |
| Robust Independent Component Analysis via Minimum -Divergence Estimation P Chen, H Hung, O Komori, SY Huang, S Eguchi IEEE Journal of Selected Topics in Signal Processing 7 (4), 614-624, 2013 | 17 | 2013 |
| Detection of gene–gene interactions using multistage sparse and low‐rank regression H Hung, YT Lin, P Chen, CC Wang, SY Huang, JY Tzeng Biometrics 72 (1), 85-94, 2016 | 15 | 2016 |
| Random weighting and Edgeworth expansion for the nonparametric time-dependent AUC estimator CT Chiang, SH Wang, H Hung Statistica Sinica, 969-979, 2009 | 12 | 2009 |
| Nonparametric methodology for the time-dependent partial area under the ROC curve H Hung, CT Chiang Journal of statistical planning and inference 141 (12), 3829-3838, 2011 | 11 | 2011 |
| A low rank-based estimation-testing procedure for matrix-covariate regression H Hung, ZY Jou Statistica Sinica 29 (2), 1025-1046, 2019 | 10 | 2019 |
| Sufficient dimension reduction via random‐partitions for the large‐p‐small‐n problem H Hung, SY Huang Biometrics 75 (1), 245-255, 2019 | 8 | 2019 |
| Identifying potential regions of copy number variation for bipolar disorder YH Chen, RB Lu, H Hung, PH Kuo Microarrays 3 (1), 52-71, 2014 | 8 | 2014 |
| Test of covariance changes without a large sample and its application to fault detection and classification H Hung, A Chen Journal of Process Control 22 (6), 1113-1121, 2012 | 8 | 2012 |
| An introduction to multilinear principal component analysis 陳定立， 陳素雲， 洪弘， 杜憶萍 中國統計學報 52 (1), 24-43, 2014 | 6 | 2014 |
| A generalized information criterion for high-dimensional PCA rank selection H Hung, SY Huang, CK Ing Statistical Papers 63 (4), 1295-1321, 2022 | 5 | 2022 |
| A Robust Removing Unwanted Variation–Testing Procedure via-Divergence H Hung Biometrics 75 (2), 650-662, 2019 | 5 | 2019 |
| Sufficient dimension reduction with additional information H Hung, CY Liu, H Horng-Shing Lu Biostatistics 17 (3), 405-421, 2016 | 4 | 2016 |
| Robust Aggregation for Federated Learning by Minimum γ-Divergence Estimation CJ Li, PH Huang, YT Ma, H Hung, SY Huang Entropy 24 (5), 686, 2022 | 3 | 2022 |
Jung-Ying TzengProfessor, Department of Statistics and Bioinformatics Research Center, North Carolina StateVerified email at ncsu.edu
