| Quantifying epistemic uncertainty in deep learning Z Huang, H Lam, H Zhang arXiv preprint arXiv:2110.12122, 2021 | 19 | 2021 |
| Learning prediction intervals for regression: Generalization and calibration H Chen, Z Huang, H Lam, H Qian, H Zhang International Conference on Artificial Intelligence and Statistics, 820-828, 2021 | 16 | 2021 |
| Estimate-Then-Optimize Versus Integrated-Estimation-Optimization: A Stochastic Dominance Perspective AN Elmachtoub, H Lam, H Zhang, Y Zhao arXiv preprint arXiv:2304.06833, 2023 | 7 | 2023 |
| Neural predictive intervals for simulation metamodeling H Lam, H Zhang 2021 winter simulation conference (wsc), 1-12, 2021 | 7 | 2021 |
| Evaluating aleatoric uncertainty via conditional generative models Z Huang, H Lam, H Zhang arXiv preprint arXiv:2206.04287, 2022 | 6 | 2022 |
| Heterogeneity measurement of cardiac tissues leveraging uncertainty information from image segmentation Z Huang, Y Gan, T Lye, H Zhang, A Laine, ED Angelini, C Hendon Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 6 | 2020 |
| Push the boundary of sam: A pseudo-label correction framework for medical segmentation Z Huang, H Liu, H Zhang, F Xing, A Laine, E Angelini, C Hendon, Y Gan arXiv preprint arXiv:2308.00883, 2023 | 4 | 2023 |
| Co-seg: An image segmentation framework against label corruption Z Huang, H Zhang, A Laine, E Angelini, C Hendon, Y Gan 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 550-553, 2021 | 4 | 2021 |
| Doubly robust stein-kernelized monte carlo estimator: Simultaneous bias-variance reduction and supercanonical convergence H Lam, H Zhang Journal of Machine Learning Research 24 (85), 1-58, 2023 | 2 | 2023 |
| On the stability of kernelized control functionals on partial and biased stochastic inputs H Lam, H Zhang 2019 Winter Simulation Conference (WSC), 344-355, 2019 | 2 | 2019 |
| Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework Z Huang, H Lam, A Meisami, H Zhang Advances in Neural Information Processing Systems 36, 2024 | 1* | 2024 |
| Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks Z Huang, H Lam, H Zhang Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Conditional coverage estimation for high-quality prediction intervals Z Huang, H Lam, H Zhang Journal of Systems Science and Systems Engineering 32 (3), 289-319, 2023 | 1 | 2023 |
| Prediction intervals for simulation metamodeling H Lam, H Zhang arXiv preprint arXiv:2204.01904, 2022 | 1 | 2022 |
| Cardiac Adipose Tissue Segmentation via Image-Level Annotations Z Huang, Y Gan, T Lye, Y Liu, H Zhang, A Laine, E Angelini, C Hendon IEEE journal of biomedical and health informatics, 2023 | | 2023 |
