Junxiong Jia

22 papers Journal 22
YearRankTypeTitle / Venue / Authors
2025 J jnl
LightUNetFault3D: A Lightweight U-Net for 3-D Seismic Fault Detection.
IEEE Geosci. Remote. Sens. Lett.
Yide Yang, Bo Li, Bangyu Wu, Junxiong Jia
2025 J jnl
Seismic data reconstruction via an adaptive feature fusion network.
Eng. Appl. Artif. Intell.
Yuting Mu, Changpeng Wang, Xin Geng, Chunxia Zhang, Jiangshe Zhang, Junxiong Jia
2025 J jnl
Sequential Monte Carlo with Gaussian Mixture Approximation for Infinite-Dimensional Statistical Inverse Problems.
CoRR
Haoyu Lu, Junxiong Jia, Deyu Meng
2025 J jnl
Simultaneous uniqueness identification of the fractional order and diffusion coefficient in a time-fractional diffusion equation.
Appl. Math. Lett.
Xiaohua Jing, Junxiong Jia, Xueli Song
2025 J jnl
Stochastic gradient descent based variational inference for infinite-dimensional inverse problems.
CoRR
Jiaming Sui, Junxiong Jia, Jinglai Li
2024 J jnl
Functional normalizing flow for statistical inverse problems of partial differential equations.
CoRR
Yang Zhao, Haoyu Lu, Junxiong Jia, Tao Zhou
2024 J jnl
PINN-Based Seismic Wavefield Simulation With Learnable Multiscale Fourier Feature Mapping and Adaptive Activation Function.
IEEE Geosci. Remote. Sens. Lett.
Jialin Wu, Bangyu Wu, Xintao Chai, Junxiong Jia
2024 J jnl
Simultaneous uniqueness for the diffusion coefficient and initial value identification in a time-fractional diffusion equation.
Appl. Math. Lett.
Xiaohua Jing, Junxiong Jia, Xueli Song
2023 J jnl
Non-centered parametric variational Bayes' approach for hierarchical inverse problems of partial differential equations.
Math. Comput.
Jiaming Sui, Junxiong Jia
2023 J jnl
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations.
J. Mach. Learn. Res.
Junxiong Jia, Yanni Wu, Peijun Li, Deyu Meng
2022 J jnl
Non-centered parametric variational Bayes' approach for hierarchical inverse problems of partial differential equations.
CoRR
Jiaming Sui, Junxiong Jia
2022 J jnl
Stein Variational Gradient Descent on Infinite-Dimensional Space and Applications to Statistical Inverse Problems.
SIAM J. Numer. Anal.
Junxiong Jia, Peijun Li, Deyu Meng
2022 J jnl
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations.
CoRR
Junxiong Jia, Yanni Wu, Peijun Li, Deyu Meng
2021 J jnl
Landslide Susceptibility Modeling Using Bagging-Based Positive-Unlabeled Learning.
IEEE Geosci. Remote. Sens. Lett.
Bangyu Wu, Weirong Qiu, Junxiong Jia, Naihao Liu
2021 J jnl
Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems.
CoRR
Junxiong Jia, Deyu Meng
2021 J jnl
Variational Bayes' Method for Functions with Applications to Some Inverse Problems.
SIAM J. Sci. Comput.
Junxiong Jia, Qian Zhao, Zongben Xu, Deyu Meng, Yee Leung
2019 J jnl
Iterative thresholding algorithm based on non-convex method for modified lp-norm regularization minimization.
J. Comput. Appl. Math.
Angang Cui, Jigen Peng, Haiyang Li, Meng Wen, Junxiong Jia
2019 J jnl
Variational Bayes' method for functions with applications to some inverse problems.
CoRR
Junxiong Jia, Qian Zhao, Zongben Xu, Deyu Meng
2018 J jnl
A Carleman estimate of some anisotropic space-fractional diffusion equations.
Appl. Math. Lett.
Junxiong Jia, Bangyu Wu
2016 J jnl
Maximum principles for a time-space fractional diffusion equation.
Appl. Math. Lett.
Junxiong Jia, Kexue Li
2015 J jnl
On Isentropic Approximations for Compressible Euler Equations.
J. Sci. Comput.
Junxiong Jia, Ronghua Pan
2011 J jnl
Existence and uniqueness of mild solutions for abstract delay fractional differential equations.
Comput. Math. Appl.
Kexue Li, Junxiong Jia