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Beichuan Deng
Beichuan Deng
University of Texas Southwestern Medical Center
Verified email at wpi.edu
Title
Cited by
Cited by
Year
Approximation rates of DeepONets for learning operators arising from advection–diffusion equations
B Deng, Y Shin, L Lu, Z Zhang, GE Karniadakis
Neural Networks 153, 411-426, 2022
742022
Convergence rate of DeepONets for learning operators arising from advection-diffusion equations
B Deng, Y Shin, L Lu, Z Zhang, GE Karniadakis
arXiv preprint arXiv:2102.10621, 2021
432021
Second-order SAV schemes for the nonlinear Schrödinger equation and their error analysis
B Deng, J Shen, Q Zhuang
Journal of Scientific Computing 88 (3), 69, 2021
122021
Global peak alignment for comprehensive two-dimensional gas chromatography mass spectrometry using point matching algorithms
B Deng, S Kim, H Li, E Heath, X Zhang
Journal of bioinformatics and computational biology 14 (06), 1650032, 2016
102016
Superconvergence points for the spectral interpolation of Riesz fractional derivatives
B Deng, Z Zhang, X Zhao
Journal of Scientific Computing 81 (3), 1577-1601, 2019
92019
Self-supervised hybrid neural network to achieve quantitative bioluminescence tomography for cancer research
B Deng, Z Tong, X Xu, H Dehghani, KKH Wang
Biomedical Optics Express 15 (11), 6211-6227, 2024
12024
Superconvergence points of integer and fractional derivatives of special Hermite interpolations and its applications in solving FDEs
B Deng, J Zhang, Z Zhang
ESAIM: Mathematical Modelling and Numerical Analysis 53 (3), 1061-1082, 2019
12019
Self-Supervised Hybrid Neural Network Approach to Achieve Quantitative Bioluminescence Tomography for Pre-Clinical Image-Guided Radiation Research
B Deng, Z Tong, X Xu, H Dehghani, KKH Wang
AAPM 66th Annual Meeting & Exhibition, 2024
2024
Superconvergence Points For Spectral Interpolations Of Integer And Faractinal Order Derivatives
B Deng
2018
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