Jiahua Jiang

According to our database, Jiahua Jiang authored at least 21 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Proximal Gradient-based Low Rank Tensor Decomposition for State Dependent Riccati Equation.

Jiahua Jiang, Carmeliza Navasca

CoRR, May, 2026

A reduced basis decomposition approach to efficient data collection in pairwise comparison studies.

Jiahua Jiang, Joseph Marsh, Rowland Seymour

Comput. Stat., April, 2026

2025

μNeuFMT: Optical-Property-Adaptive Fluorescence Molecular Tomography via Implicit Neural Representation.

Shihan Zhao, Jianru Zhang, Yanan Wu, Linlin Li, Siyuan Shen, Xingjun Zhu, Guoyan Zheng, Jiahua Jiang, Wuwei Ren

CoRR, November, 2025

A Warm-basis Method for Bridging Learning and Iteration: a Case Study in Fluorescence Molecular Tomography.

Ruchi Guo, Jiahua Jiang, Bangti Jin, Wuwei Ren, Jianru Zhang

CoRR, October, 2025

High Resolution Diffuse Optical Tomography via Neural Fields.

Siyuan Shen, Linlin Li, Shengyu Gao, Yuehan Wang, Liangtao Gu, Shiying Li, Xingjun Zhu, Jiahua Jiang, Jingyi Yu, Wuwei Ren

IEEE Trans. Computational Imaging, 2025

2024

Multifunctional Optical Tomography System With High-Fidelity Surface Extraction Based on a Single Programmable Scanner and Unified Pinhole Modeling.

Shengyu Gao, Jianru Zhang, Yexing Hu, Yanan Wu, Linlin Li, Qian Hu, Xin Lou, Xingjun Zhu, Jiahua Jiang, Wuwei Ren

IEEE Trans. Biomed. Eng., April, 2024

Hybrid Projection Methods for Solution Decomposition in Large-Scale Bayesian Inverse Problems.

Julianne Chung, Jiahua Jiang, Scot M. Miller, Arvind K. Saibaba

SIAM J. Sci. Comput., 2024

2023

Learn an Index Operator by CNN for Solving Diffusive Optical Tomography: A Deep Direct Sampling Method.

Ruchi Guo, Jiahua Jiang, Yi Li

J. Sci. Comput., April, 2023

Augmented Flexible Krylov Subspace methods with applications to Bayesian inverse problems.

Malena Sabate Landman, Jiahua Jiang, Jianru Zhang, Wuwei Ren

CoRR, 2023

High-resolution tomographic reconstruction of optical absorbance through scattering media using neural fields.

Wuwei Ren, Siyuan Shen, Linlin Li, Shengyu Gao, Yuehan Wang, Liangtao Gu, Shiying Li, Xingjun Zhu, Jiahua Jiang, Jingyi Yu

CoRR, 2023

2022

Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference.

Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan

J. Sci. Comput., 2022

Low-CP-Rank Tensor Completion via Practical Regularization.

Jiahua Jiang, Fatoumata Sanogo, Carmeliza Navasca

J. Sci. Comput., 2022

Conjugate gradient persymmetric adaptive matched filter.

Jie Lin, Chaoshu Jiang, Jiahua Jiang, Jiawen Kang

Digit. Signal Process., 2022

2021

Hybrid Projection Methods with Recycling for Inverse Problems.

Jiahua Jiang, Julianne Chung, Eric de Sturler

SIAM J. Sci. Comput., 2021

Construct Deep Neural Networks based on Direct Sampling Methods for Solving Electrical Impedance Tomography.

Ruchi Guo, Jiahua Jiang

SIAM J. Sci. Comput., 2021

A Deep Direct Sampling Method for Solving Diffusive Optical Tomography.

Jiahua Jiang, Yi Li, Ruchi Guo

CoRR, 2021

2020

Hybrid Projection Methods for Large-scale Inverse Problems with Mixed Gaussian Priors.

Taewon Cho, Julianne Chung, Jiahua Jiang

CoRR, 2020

2019

Multi-level adaptive greedy algorithms for the reduced basis method.

Jiahua Jiang, Yanlai Chen

CoRR, 2019

A robust error estimator and a residual-free error indicator for reduced basis methods.

Yanlai Chen, Jiahua Jiang, Akil Narayan

Comput. Math. Appl., 2019

2017

Offline-Enhanced Reduced Basis Method Through Adaptive Construction of the Surrogate Training Set.

Jiahua Jiang, Yanlai Chen, Akil Narayan

J. Sci. Comput., 2017

2016

A Goal-Oriented Reduced Basis Methods-Accelerated Generalized Polynomial Chaos Algorithm.

Jiahua Jiang, Yanlai Chen, Akil Narayan

SIAM/ASA J. Uncertain. Quantification, 2016