Zehui Zhou

16 papers B 1Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhanced NDVI prediction accuracy in complex geographic regions by integrating machine learning and climate data - a case study of Southwest basin.
Int. J. Appl. Earth Obs. Geoinformation
Zehui Zhou, Jiaxin Jin, Bin Yong, Weidong Huang, Lei Yu, Peiqi Yang, Dianchen Sun
2025 J jnl
On the Convergence of a Data-Driven Regularized Stochastic Gradient Descent for Nonlinear Ill-Posed Problems.
SIAM J. Imaging Sci.
Zehui Zhou
2025 J jnl
On the convergence of stochastic variance reduced gradient for linear inverse problems.
CoRR
Bangti Jin, Zehui Zhou
2025 J jnl
On the recovery of two function-valued coefficients in the Helmholtz equation for inverse scattering problems via inverse Born series.
CoRR
Fioralba Cakoni, Shixu Meng, Zehui Zhou
2025 J jnl
On the recovery of two function-valued coefficients in the Helmholtz equation for inverse scattering problems via neural networks.
Adv. Comput. Math.
Zehui Zhou
2025 B conf
Real-Time Misinformation Detection with Cyclic Evidence-Based Framework.
IJCNN
Zhiwen Hu, Lv Han, Haihua Jiang, Xi-Ao Ma, Saihua Lei, Yang Qiu, Haojia Niu, Zehui Zhou, Xun Wang
2024 J jnl
On the Convergence of A Data-Driven Regularized Stochastic Gradient Descent for Nonlinear Ill-Posed Problems.
CoRR
Zehui Zhou
2024 J jnl
On the approximation of bi-Lipschitz maps by invertible neural networks.
Neural Networks
Bangti Jin, Zehui Zhou, Jun Zou
2024 J jnl
On the simultaneous recovery of two coefficients in the Helmholtz equation for inverse scattering problems via neural networks.
CoRR
Zehui Zhou
2023 J jnl
Evaluation of GPM-IMERG Precipitation Product at Multiple Spatial and Sub-Daily Temporal Scales over Mainland China.
Remote. Sens.
Zehui Zhou, Dekai Lu, Bin Yong, Zhehui Shen, Hao Wu, Lei Yu
2023 J jnl
On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks.
CoRR
Bangti Jin, Zehui Zhou, Jun Zou
2021 J jnl
An Analysis of Stochastic Variance Reduced Gradient for Linear Inverse Problems.
CoRR
Bangti Jin, Zehui Zhou, Jun Zou
2021 J jnl
On the Saturation Phenomenon of Stochastic Gradient Descent for Linear Inverse Problems.
SIAM/ASA J. Uncertain. Quantification
Bangti Jin, Zehui Zhou, Jun Zou
2020 J jnl
On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems.
SIAM J. Optim.
Bangti Jin, Zehui Zhou, Jun Zou
2020 J jnl
On the Saturation Phenomenon of Stochastic Gradient Descent for Linear Inverse Problems.
CoRR
Bangti Jin, Zehui Zhou, Jun Zou
2019 J jnl
On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems.
CoRR
Bangti Jin, Zehui Zhou, Jun Zou