| Deep residual learning for nonlinear regression D Chen, F Hu, G Nian, T Yang Entropy 22 (2), 193, 2020 | 75 | 2020 |
| Densely connected neural networks for nonlinear regression C Jiang, C Jiang, D Chen, F Hu Entropy 24 (7), 876, 2022 | 14 | 2022 |
| Long-range correlation analysis among non-stationary passive scalar series in the turbulent boundary layer C Dongwei, H Fei, X Jingjing Physica A: Statistical Mechanics and Its Applications 517, 290-296, 2019 | 2 | 2019 |
| On the scaling law of ramp structures in scalar turbulence DW Chen, F Hu, JJ Xu Atmospheric and Oceanic Science Letters 11 (4), 372-377, 2018 | 1 | 2018 |
| Paley-Wiener Theorem for Probabilistic Frames D Chen arXiv preprint arXiv:2310.17830, 2023 | | 2023 |
| Rediscover Climate Change during Global Warming Slowdown via Wasserstein Stability Analysis Z Xie, D Chen, P Li arXiv preprint arXiv:2303.18067, 2023 | | 2023 |
| Probabilistic Frames and Concepts from Optimal Transport D Chen, MJ Schmoll 2024 Spring Eastern Sectional Meeting, 0 | | |
| Generalized Frames and concepts from Dynamical Systems MJ Schmoll, D Chen 2023 Fall Southeastern Sectional Meeting, 0 | | |
Tiantian YangUniversity of Idaho在 uidaho.edu 的电子邮件经过验证
