| Consistency-based semi-supervised active learning: Towards minimizing labeling cost M Gao, Z Zhang, G Yu, SÖ Arık, LS Davis, T Pfister Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 178 | 2020 |
| Deepview: Virtual disk failure diagnosis and pattern detection for azure Q Zhang, G Yu, C Guo, Y Dang, N Swanson, X Yang, R Yao, ... 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2018 | 51 | 2018 |
| Estimating the error variance in a high-dimensional linear model G Yu, J Bien Biometrika 106 (3), 533-546, 2019 | 39 | 2019 |
| Learning local dependence in ordered data G Yu, J Bien Journal of Machine Learning Research 18 (42), 1-60, 2017 | 36 | 2017 |
| Reluctant interaction modeling G Yu, J Bien, R Tibshirani arXiv preprint arXiv:1907.08414, 2019 | 23 | 2019 |
| An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM Y Zhang, S Tang, G Yu Scientific reports 13 (1), 6708, 2023 | 6 | 2023 |
| Controlling costs: Feature selection on a budget G Yu, D Witten, J Bien Stat 11 (1), e427, 2022 | 4 | 2022 |
| Reluctant Interaction Modeling in Generalized Linear Models H Lu, G Yu arXiv preprint arXiv:2401.08159, 2024 | | 2024 |
| A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation C Tran, G Yu International Conference on Machine Learning, 21733-21750, 2022 | | 2022 |
| Discussion on Covariate-assisted ranking and screening for large-scale two-sample inference G Yu, J Bien, D Witten Journal of the Royal Statistical Society. Series B, Statistical methodology …, 2019 | | 2019 |
| Supplement to the Discussion of “CARS: Covariate assisted ranking and screening for large-scale two-sample inference” by Cai et al. G Yu, J Bien, D Witten | | 2018 |
| High-Dimensional Structured Regression Using Convex Optimization G Yu Cornell University, 2018 | | 2018 |
