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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski