| Modeling video dynamics with deep dynencoder X Yan, H Chang, S Shan, X Chen European Conference on Computer Vision (ECCV), 2014 | 56 | 2014 |
| Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning X Yan, W Zhang, L Ma, W Liu, Q Wu Neural Information Processing Systems (NeurIPS), 2018 | 29 | 2018 |
| Capturing Deep Tail Risk via Sequential Learning of Quantile Dynamics Q Wu, X Yan Journal of Economic Dynamics and Control (JEDC), 2019 | 18 | 2019 |
| Cross-sectional Learning of Extremal Dependence among Financial Assets X Yan, Q Wu, W Zhang Neural Information Processing Systems (NeurIPS), 2019 | 13 | 2019 |
| Robust causal learning for the estimation of average treatment effects Y Huang, CH Leung, Q Wu, X Yan, S Ma, Z Yuan, D Wang, Z Huang 2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022 | 9 | 2022 |
| Temporally multiple dynamic textures synthesis using piecewise linear dynamic systems X Yan, H Chang, X Chen 2013 IEEE International Conference on Image Processing, 3167-3171, 2013 | 7 | 2013 |
| The Causal Learning of Retail Delinquency Y Huang, CH Leung, X Yan, Q Wu, N Peng, D Wang, Z Huang AAAI Conference on Artificial Intelligence (AAAI), 2021 | 6 | 2021 |
| Decorr: Environment partitioning for invariant learning and ood generalization Y Liao, Q Wu, X Yan arXiv preprint arXiv:2211.10054, 2022 | 4 | 2022 |
| Risk and return prediction for pricing portfolios of non-performing consumer credit SY Wang, X Yan, BQ Zheng, H Wang, WL Xu, NB Peng, Q Wu 2nd ACM International Conference on AI in Finance (ICAIF'21), 2021 | 4 | 2021 |
| Kernel quantile estimators for nested simulation with application to portfolio value-at-risk measurement X Liu, X Yan, K Zhang European Journal of Operational Research 312 (3), 1168-1177, 2024 | 2 | 2024 |
| Ensemble Multi-Quantile: Adaptively Flexible Distribution Prediction for Uncertainty Quantification X Yan, Y Su, W Ma IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 1 | 2023 |
| Risk-Neutral Generative Networks Z Xian, X Yan, CH Leung, Q Wu arXiv preprint arXiv:2405.17770, 2024 | | 2024 |
| Parsimonious Generative Machine Learning for Non-Gaussian Tail Modeling and Risk-Neutral Distribution Extraction Q Wu, Z Xian, X Yan, N Yang arXiv preprint arXiv:2402.14368, 2024 | | 2024 |
| Invariant Random Forest: Tree-Based Model Solution for OOD Generalization Y Liao, Q Wu, X Yan AAAI Conference on Artificial Intelligence (AAAI), Oral Presentation, 2024 | | 2024 |
| The Causal Impact of Credit Lines on Spending Distributions Y Li, CH Leung, X Sun, C Wang, Y Huang, X Yan, Q Wu, D Wang, ... AAAI Conference on Artificial Intelligence (AAAI), 2024 | | 2024 |
| Dynamic CVaR Portfolio Construction with Attention-Powered Generative Factor Learning C Sun, Q Wu, X Yan Journal of Economic Dynamics and Control (JEDC), 2024 | | 2024 |
| Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning W Ma, X Yan, K Zhang IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 | | 2023 |
| Robust Orthogonal Machine Learning of Treatment Effects Y Huang, CH Leung, Q Wu, X Yan arXiv preprint arXiv:2103.11869, 2021 | | 2021 |
| Parsimonious Learning of Tail Dynamics X Yan PQDT-Global, 2019 | | 2019 |
