| Enabling cyberattack-resilient load forecasting through adversarial machine learning Z Tang, J Jiao, P Zhang, M Yue, C Chen, J Yan 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 22 | 2019 |
| Cyberattack-resilient load forecasting with adaptive robust regression J Jiao, Z Tang, P Zhang, M Yue, J Yan International Journal of Forecasting 38 (3), 910-919, 2022 | 16 | 2022 |
| A Bayesian marked spatial point processes model for basketball shot chart J Jiao, G Hu, J Yan Journal of Quantitative Analysis in Sports 17 (2), 77-90, 2021 | 14 | 2021 |
| Heterogeneity pursuit for spatial point pattern with application to tree locations: A Bayesian semiparametric recourse J Jiao, G Hu, J Yan Environmetrics 32 (7), e2694, 2021 | 7 | 2021 |
| Ensuring cyberattack-resilient load forecasting with a robust statistical method J Jiao, Z Tang, P Zhang, M Yue, C Chen, J Yan 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 7 | 2019 |
| Bayesian nonparametric learning for point processes with spatial homogeneity: A spatial analysis of NBA shot locations F Yin, J Jiao, J Yan, G Hu International Conference on Machine Learning, 25523-25551, 2022 | 4 | 2022 |
| Bayesian nonparametric estimation for point processes with spatial homogeneity: A spatial analysis of NBA shot locations F Yin, J Jiao, G Hu, J Yan arXiv preprint arXiv:2011.11178, 2020 | 4 | 2020 |
| On Bayesian Methods for Spatial Point Processes J Jiao | | 2020 |
