| Nonlinear variable selection via deep neural networks Y Chen, Q Gao, F Liang, X Wang Journal of Computational and Graphical Statistics 30 (2), 484-492, 2021 | 29 | 2021 |
| Inferential Wasserstein generative adversarial networks Y Chen, Q Gao, X Wang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 23 | 2022 |
| Theoretical investigation of generalization bounds for adversarial learning of deep neural networks Q Gao, X Wang Journal of Statistical Theory and Practice 15 (2), 51, 2021 | 15 | 2021 |
| Spatial autocorrelation in soil compaction and its impact on earthwork acceptance testing J Cai, Q Gao, H Chun, H Cai, T Nantung Transportation Research Record 2673 (1), 332-342, 2019 | 10 | 2019 |
| Statistical Learning Q Gao, X Wang Springer Handbook of Engineering Statistics, 901-919, 2023 | 1 | 2023 |
| Optimal sampling strategy for acceptance decision in highway construction: a cost–benefit analysis approach J Cai, S Li, Q Gao, H Chun, T Nantung, H Cai Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 1 | 2018 |
| Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks Y Qiu, Q Gao, X Wang Journal of the American Statistical Association, 1-13, 2024 | | 2024 |
| Adversarial Learning on Robustness and Generative Models Q Gao Purdue University, 2021 | | 2021 |
| Pavement Acceptance Testing: Risk-Controlled Sampling Strategy J Cai, Q Gao, H Chun, H Cai Purdue University. Joint Transportation Research Program, 2019 | | 2019 |
| A Uniform Generalization Error Bound for Generative Adversarial Networks H Chen, Z Mo, Q Gao, Z Yang, X Wang | | |
| iWGAN: an Autoencoder WGAN for Inference Y Chen, Q Gao, X Wang | | |
