| A numerical framework for integrating deferred correction methods to solve high order collocation formulations of ODEs W Qu, N Brandon, D Chen, J Huang, T Kress Journal of Scientific Computing 68, 484-520, 2016 | 15 | 2016 |
| A heterogeneous FMM for layered media Helmholtz equation I: Two layers in R2 MH Cho, J Huang, D Chen, W Cai Journal of Computational Physics 369, 237-251, 2018 | 13 | 2018 |
| A note on qr-based model reduction: Algorithm, software, and gravitational wave applications H Antil, D Chen, S Field Computing in Science & Engineering 20 (4), 10-25, 2018 | 13 | 2018 |
| Interpretable selective learning in credit risk D Chen, J Ye, W Ye Research in International Business and Finance 65, 101940, 2023 | 9 | 2023 |
| Generalized Gloves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance D Chen, W Ye arXiv preprint arXiv:2209.10082, 2022 | 5 | 2022 |
| Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance D Chen, L Zhang arXiv preprint arXiv:2301.07060, 2023 | 4 | 2023 |
| Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring D Chen, W Ye ICAIF '22: 3rd ACM International Conference on AI in Finance, 70–78, 2022 | 4 | 2022 |
| Analysis of Performance Measure in Q Learning with UCB Exploration W Ye, D Chen Mathematics 10 (4), 575, 2022 | 4 | 2022 |
| Learning Algorithm in Two-Stage Selective Prediction W Ye, D Chen, I Ramazanli 2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML …, 2022 | 2 | 2022 |
| A heterogeneous fmm for 2-d layered media helmholtz equation i: Two & three layers cases MH Cho, J Huang, D Chen, W Cai arXiv preprint arXiv:1703.09136, 2017 | 2 | 2017 |
| How to address monotonicity for model risk management? D Chen, W Ye ICML 2023, 2023 | 1 | 2023 |
| Predicting Portfolio Return Volatility at Medium Horizons D Chen, R Anderson Available at SSRN 3302940, 2018 | 1 | 2018 |
| On the Gauss Runge-Kutta and Method of Lines Trans-pose for Initial-Boundary Value Parabolic PDEs B Zhang, D Chen, J Huang Communications in Computational Physics, 2018 | 1 | 2018 |
| Can I Trust the Explanations? Investigating Explainable Machine Learning Methods for Monotonic Models D Chen arXiv preprint arXiv:2309.13246, 2023 | | 2023 |
| Two-stage Modeling for Prediction with Confidence D Chen 2022 IEEE 34th International Conference on Tools with Artificial …, 2022 | | 2022 |
| Does the leverage effect affect the return distribution? D Chen arXiv preprint arXiv:1909.08662, 2019 | | 2019 |
| Spatio-temporal integral equation methods with applications D Chen | | 2017 |
| Fairly Explaining Monotonic Models: a New Shapley Value D Chen, J Chen | | |
Jingfang HuangProfessor of Mathematics, UNC-Chapel HillVerified email at email.unc.edu
