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ORCIDJiahua Jiang
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2020 – today
- 2024
[j11]Julianne Chung
, Jiahua Jiang, Scot M. Miller, Arvind K. Saibaba:
Hybrid Projection Methods for Solution Decomposition in Large-Scale Bayesian Inverse Problems. SIAM J. Sci. Comput. 46(2): S97-S119 (2024)- [j10]Shengyu Gao, Jianru Zhang, Yexing Hu, Yanan Wu, Linlin Li, Qian Hu, Xin Lou, Xingjun Zhu, Jiahua Jiang, Wuwei Ren:
Multifunctional Optical Tomography System With High-Fidelity Surface Extraction Based on a Single Programmable Scanner and Unified Pinhole Modeling. IEEE Trans. Biomed. Eng. 71(4): 1391-1403 (2024) - 2023
- [j9]Ruchi Guo, Jiahua Jiang, Yi Li:
Learn an Index Operator by CNN for Solving Diffusive Optical Tomography: A Deep Direct Sampling Method. J. Sci. Comput. 95(1): 31 (2023) - [i10]Wuwei Ren, Siyuan Shen, Linlin Li, Shengyu Gao, Yuehan Wang, Liangtao Gu, Shiying Li, Xingjun Zhu, Jiahua Jiang, Jingyi Yu:
High-resolution tomographic reconstruction of optical absorbance through scattering media using neural fields. CoRR abs/2304.01682 (2023) - [i9]Malena Sabate Landman, Jiahua Jiang, Jianru Zhang, Wuwei Ren:
Augmented Flexible Krylov Subspace methods with applications to Bayesian inverse problems. CoRR abs/2310.05285 (2023) - 2022
- [j8]Jie Lin, Chaoshu Jiang, Jiahua Jiang, Jiawen Kang:
Conjugate gradient persymmetric adaptive matched filter. Digit. Signal Process. 123: 103395 (2022) - [j7]Jiahua Jiang, Fatoumata Sanogo, Carmeliza Navasca:
Low-CP-Rank Tensor Completion via Practical Regularization. J. Sci. Comput. 91(1): 18 (2022) - [j6]Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan:
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. J. Sci. Comput. 91(1): 29 (2022) - [i8]Julianne Chung, Jiahua Jiang, Scot M. Miller, Arvind K. Saibaba:
Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems. CoRR abs/2206.06664 (2022) - 2021
- [j5]Ruchi Guo, Jiahua Jiang:
Construct Deep Neural Networks based on Direct Sampling Methods for Solving Electrical Impedance Tomography. SIAM J. Sci. Comput. 43(3): B678-B711 (2021) - [j4]Jiahua Jiang, Julianne Chung, Eric de Sturler:
Hybrid Projection Methods with Recycling for Inverse Problems. SIAM J. Sci. Comput. 43(5): S146-S172 (2021) - [i7]Jiahua Jiang, Fatoumata Sanogo, Carmeliza Navasca:
Low-CP-rank Tensor Completion via Practical Regularization. CoRR abs/2103.16852 (2021) - [i6]Jiahua Jiang, Yi Li, Ruchi Guo:
A Deep Direct Sampling Method for Solving Diffusive Optical Tomography. CoRR abs/2104.07703 (2021) - [i5]Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan:
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. CoRR abs/2111.13246 (2021) - 2020
- [i4]Taewon Cho, Julianne Chung, Jiahua Jiang:
Hybrid Projection Methods for Large-scale Inverse Problems with Mixed Gaussian Priors. CoRR abs/2003.13766 (2020) - [i3]Julianne Chung, Eric de Sturler, Jiahua Jiang:
Hybrid Projection Methods with Recycling for Inverse Problems. CoRR abs/2007.00207 (2020) - [i2]Ruchi Guo, Jiahua Jiang:
Construct Deep Neural Networks Based on Direct Sampling Methods for Solving Electrical Impedance Tomography. CoRR abs/2009.08024 (2020)
2010 – 2019
- 2019
- [j3]Yanlai Chen, Jiahua Jiang, Akil Narayan:
A robust error estimator and a residual-free error indicator for reduced basis methods. Comput. Math. Appl. 77(7): 1963-1979 (2019) - [i1]Jiahua Jiang, Yanlai Chen:
Multi-level adaptive greedy algorithms for the reduced basis method. CoRR abs/1911.02214 (2019) - 2017
- [j2]Jiahua Jiang, Yanlai Chen, Akil Narayan:
Offline-Enhanced Reduced Basis Method Through Adaptive Construction of the Surrogate Training Set. J. Sci. Comput. 73(2-3): 853-875 (2017) - 2016
- [j1]Jiahua Jiang, Yanlai Chen, Akil Narayan:
A Goal-Oriented Reduced Basis Methods-Accelerated Generalized Polynomial Chaos Algorithm. SIAM/ASA J. Uncertain. Quantification 4(1): 1398-1420 (2016)
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