Jiahua Jiang - RankMe

25 papers Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A reduced basis decomposition approach to efficient data collection in pairwise comparison studies. Comput. Stat. Jiahua Jiang, Joseph Marsh, Rowland Seymour
2025	J	`jnl`	A Warm-basis Method for Bridging Learning and Iteration: a Case Study in Fluorescence Molecular Tomography. CoRR Ruchi Guo, Jiahua Jiang, Bangti Jin, Wuwei Ren, Jianru Zhang
2025	J	`jnl`	High Resolution Diffuse Optical Tomography via Neural Fields. IEEE Trans. Computational Imaging Siyuan Shen, Linlin Li, Shengyu Gao, Yuehan Wang, Liangtao Gu, Shiying Li, Xingjun Zhu, Jiahua Jiang, Jingyi Yu, Wuwei Ren
2025	J	`jnl`	μNeuFMT: Optical-Property-Adaptive Fluorescence Molecular Tomography via Implicit Neural Representation. CoRR Shihan Zhao, Jianru Zhang, Yanan Wu, Linlin Li, Siyuan Shen, Xingjun Zhu, Guoyan Zheng, Jiahua Jiang, Wuwei Ren
2024	J	`jnl`	Hybrid Projection Methods for Solution Decomposition in Large-Scale Bayesian Inverse Problems. SIAM J. Sci. Comput. Julianne Chung, Jiahua Jiang, Scot M. Miller, Arvind K. Saibaba
2024	J	`jnl`	Multifunctional Optical Tomography System With High-Fidelity Surface Extraction Based on a Single Programmable Scanner and Unified Pinhole Modeling. IEEE Trans. Biomed. Eng. Shengyu Gao, Jianru Zhang, Yexing Hu, Yanan Wu, Linlin Li, Qian Hu, Xin Lou, Xingjun Zhu, Jiahua Jiang, Wuwei Ren
2023	J	`jnl`	Augmented Flexible Krylov Subspace methods with applications to Bayesian inverse problems. CoRR Malena Sabate Landman, Jiahua Jiang, Jianru Zhang, Wuwei Ren
2023	J	`jnl`	High-resolution tomographic reconstruction of optical absorbance through scattering media using neural fields. CoRR Wuwei Ren, Siyuan Shen, Linlin Li, Shengyu Gao, Yuehan Wang, Liangtao Gu, Shiying Li, Xingjun Zhu, Jiahua Jiang, Jingyi Yu
2023	J	`jnl`	Learn an Index Operator by CNN for Solving Diffusive Optical Tomography: A Deep Direct Sampling Method. J. Sci. Comput. Ruchi Guo, Jiahua Jiang, Yi Li
2022	J	`jnl`	Conjugate gradient persymmetric adaptive matched filter. Digit. Signal Process. Jie Lin, Chaoshu Jiang, Jiahua Jiang, Jiawen Kang
2022	J	`jnl`	Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems. CoRR Julianne Chung, Jiahua Jiang, Scot M. Miller, Arvind K. Saibaba
2022	J	`jnl`	Low-CP-Rank Tensor Completion via Practical Regularization. J. Sci. Comput. Jiahua Jiang, Fatoumata Sanogo, Carmeliza Navasca
2022	J	`jnl`	Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. J. Sci. Comput. Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan
2021	J	`jnl`	A Deep Direct Sampling Method for Solving Diffusive Optical Tomography. CoRR Jiahua Jiang, Yi Li, Ruchi Guo
2021	J	`jnl`	Construct Deep Neural Networks based on Direct Sampling Methods for Solving Electrical Impedance Tomography. SIAM J. Sci. Comput. Ruchi Guo, Jiahua Jiang
2021	J	`jnl`	Hybrid Projection Methods with Recycling for Inverse Problems. SIAM J. Sci. Comput. Jiahua Jiang, Julianne Chung, Eric de Sturler
2021	J	`jnl`	Low-CP-rank Tensor Completion via Practical Regularization. CoRR Jiahua Jiang, Fatoumata Sanogo, Carmeliza Navasca
2021	J	`jnl`	Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. CoRR Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan
2020	J	`jnl`	Construct Deep Neural Networks Based on Direct Sampling Methods for Solving Electrical Impedance Tomography. CoRR Ruchi Guo, Jiahua Jiang
2020	J	`jnl`	Hybrid Projection Methods for Large-scale Inverse Problems with Mixed Gaussian Priors. CoRR Taewon Cho, Julianne Chung, Jiahua Jiang
2020	J	`jnl`	Hybrid Projection Methods with Recycling for Inverse Problems. CoRR Julianne Chung, Eric de Sturler, Jiahua Jiang
2019	J	`jnl`	A robust error estimator and a residual-free error indicator for reduced basis methods. Comput. Math. Appl. Yanlai Chen, Jiahua Jiang, Akil Narayan
2019	J	`jnl`	Multi-level adaptive greedy algorithms for the reduced basis method. CoRR Jiahua Jiang, Yanlai Chen
2017	J	`jnl`	Offline-Enhanced Reduced Basis Method Through Adaptive Construction of the Surrogate Training Set. J. Sci. Comput. Jiahua Jiang, Yanlai Chen, Akil Narayan
2016	J	`jnl`	A Goal-Oriented Reduced Basis Methods-Accelerated Generalized Polynomial Chaos Algorithm. SIAM/ASA J. Uncertain. Quantification Jiahua Jiang, Yanlai Chen, Akil Narayan