| Online optimization in cloud resource provisioning: Predictions, regrets, and algorithms J Comden, S Yao, N Chen, H Xing, Z Liu Proceedings of the ACM on Measurement and Analysis of Computing Systems 3 (1 …, 2019 | 48 | 2019 |
| Efficient gradient boosting for prognostic biomarker discovery K Li, S Yao, Z Zhang, B Cao, CM Wilson, D Kalos, PF Kuan, R Zhu, ... Bioinformatics 38 (6), 1631-1638, 2022 | 26 | 2022 |
| A subnetwork-based framework for prioritizing and evaluating prognostic gene modules from cancer transcriptome data B Cao, KB Patel, T Li, S Yao, CH Chung, X Wang iScience 26 (2), 2023 | 3 | 2023 |
| Statistical and Machine Learning Methods for Discovering Prognostic Biomarkers for Survival Outcomes S Yao, X Wang Statistical Genomics, 11-21, 2023 | 1 | 2023 |
| CGPA: multi-context insights from the cancer gene prognosis atlas B Cao, X Yu, G Gonzalez, AR Murthy, T Li, Y Shen, S Yao, ... bioRxiv, 2024 | | 2024 |
| L1 Regularization for High-Dimensional Multivariate GARCH Models S Yao, H Zou, H Xing Risks 12 (2), 34, 2024 | | 2024 |
| GPS-Net: discovering prognostic pathway modules based on network regularized kernel learning S Yao, K Li, T Li, X Yu, PF Kuan, X Wang bioRxiv, 2024.07. 15.603645, 2024 | | 2024 |
| Unveiling targeted cell-free DNA methylation regions through paired methylome analysis of tumor and normal tissues T Li, KB Patel, X Yu, S Yao, L Wang, CH Chung, X Wang bioRxiv, 2023 | | 2023 |
| Prediction-oriented prognostic biomarker discovery with survival machine learning methods S Yao, B Cao, T Li, D Kalos, Y Yuan, X Wang NAR Genomics and Bioinformatics 5 (2), lqad055, 2023 | | 2023 |
| Vanishing deviance problem in high-dimensional penalized Cox regression S Yao, T Li, B Cao, X Wang Cancer Research 83 (7_Supplement), 2089-2089, 2023 | | 2023 |
| High-dimensional Garch with l1 Regularization S Yao State University of New York at Stony Brook, 2020 | | 2020 |
