| On the convergence and calibration of deep learning with differential privacy Z Bu, H Wang, Z Dai, Q Long arXiv preprint arXiv:2106.07830, 2021 | 49 | 2021 |
| Multiple imputation via generative adversarial network for high-dimensional blockwise missing value problems Z Dai, Z Bu, Q Long 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 29 | 2021 |
| Multiple imputation with neural network Gaussian process for high-dimensional incomplete data Z Dai, Z Bu, Q Long Asian Conference on Machine Learning, 265-279, 2023 | 5 | 2023 |
| SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data Z Dai, E Getzen, Q Long International Conference on Artificial Intelligence and Statistics, 4195-4203, 2024 | 1 | 2024 |
| MISNN: Multiple Imputation via Semi-parametric Neural Networks Z Bu, Z Dai, Y Zhang, Q Long Pacific-Asia Conference on Knowledge Discovery and Data Mining, 430-442, 2023 | 1 | 2023 |
| Integrative learning of structured high‐dimensional data from multiple datasets C Chang, Z Dai, J Oh, Q Long Statistical Analysis and Data Mining: The ASA Data Science Journal 16 (2 …, 2023 | 1 | 2023 |
| Advancing Deep Generative Imputation Models for Complex Incomplete Data Z Dai University of Pennsylvania, 2023 | | 2023 |
