| Conformal prediction interval for dynamic time-series C Xu, Y Xie International Conference on Machine Learning, 2021 (ICML 2021), 2021 | 143 | 2021 |
| Predictive inference is free with the jackknife+-after-bootstrap B Kim, C Xu, RF Barber Advances in Neural Information Processing Systems, 2020 (NeurIPS 2020), 2020 | 98 | 2020 |
| Conformal prediction for time-series C Xu, Y Xie IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2023 | 44* | 2023 |
| Sequential Predictive Conformal Inference for Time Series C Xu, Y Xie International Conference on Machine Learning, 2023 (ICML 2023), 2023 | 37 | 2023 |
| Normalizing flow neural networks by JKO scheme C Xu, X Cheng, Y Xie Advances in Neural Information Processing Systems, 2023 (NeurIPS 2023), 2023 | 25* | 2023 |
| Conformal anomaly detection on spatio-temporal observations with missing data C Xu, Y Xie ICML 2021 workshop on Distribution-Free Uncertainty Quantification, 2021 | 17 | 2021 |
| Conformal prediction for multi-dimensional time series by ellipsoidal sets C Xu, H Jiang, Y Xie International Conference on Machine Learning, 2024 (ICML 2024), 2024 | 14 | 2024 |
| Invertible Neural Networks for Graph Prediction C Xu, X Cheng, Y Xie IEEE Journal on Selected Areas in Information Theory (IEEE JSAIT), 2022 | 12 | 2022 |
| Conformal prediction set for time-series C Xu, Y Xie ICML 2022 workshop on Distribution-Free Uncertainty Quantification, 2022 | 11* | 2022 |
| Computing high-dimensional optimal transport by flow neural networks C Xu, X Cheng, Y Xie Intl. Conf. on Artificial Intelligence and Statistics, 2025 (AISTATS 2025), 2025 | 8* | 2025 |
| Flow-based Distributionally Robust Optimization C Xu, J Lee, X Cheng, Y Xie IEEE Journal on Selected Areas in Information Theory (IEEE JSAIT), 2024 | 8 | 2024 |
| Solar radiation ramping events modeling using spatio-temporal point processes M Zhang, C Xu, A Sun, F Qiu, Y Xie INFORMS Journal on Data Science (IJDS), 2025 | 4* | 2025 |
| Generalized generalized linear models: Convex estimation and online bounds A Juditsky, A Nemirovski, Y Xie, C Xu European Meeting of Statisticians, 2023, 2023 | 4 | 2023 |
| Spatio-Temporal Wildfire Prediction using Multi-Modal Data C Xu, DAZ Vazquez, R Yao, F Qiu, Y Xie IEEE Journal on Selected Areas in Information Theory (IEEE JSAIT), 2023 | 4* | 2023 |
| Flow-based Conformal Prediction for Multi-dimensional Time Series J Lee, C Xu, Y Xie arXiv preprint arXiv:2502.05709, 2025 | 3* | 2025 |
| Kernel-based optimally weighted conformal prediction intervals J Lee, C Xu, Y Xie International Conference on Learning Representations, 2025 (ICLR 2025), 2025 | 2 | 2025 |
| An alternative approach to train neural networks using monotone variational inequality C Xu, X Cheng, Y Xie NeurIPS 2023 workshop on Optimization for Machine Learning, 2022 | 2 | 2022 |
| Uncertainty-Aware Failure Detection for Imitation Learning Robot Policies C Xu, TK Nguyen, P Miller, R Lee, P Shah, RA Ambrus, H Nishimura, ... CoRL 2024 workshop on Safe and Robust Robot Learning for Operation in the …, 2024 | 1 | 2024 |
| Local Flow Matching Generative Models C Xu, X Cheng, Y Xie arXiv preprint arXiv:2410.02548, 2024 | 1 | 2024 |
Yao XieCoca-Cola Foundation Chair and Professor, Georgia Institute of TechnologyAdresse e-mail validée de isye.gatech.edu
