Zehui Zhou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Multiple Kernel Learning

Top Venues

SIAM/ASA J. Uncertain. Quantification

Publications

Bangti Jin, Zehui Zhou, Jun Zou
On the approximation of bi-Lipschitz maps by invertible neural networks. Neural Networks 174 (2024)
Zehui Zhou
On the Convergence of A Data-Driven Regularized Stochastic Gradient Descent for Nonlinear Ill-Posed Problems. CoRR (2024)
Zehui Zhou, Dekai Lu, Bin Yong, Zhehui Shen, Hao Wu, Lei Yu
Evaluation of GPM-IMERG Precipitation Product at Multiple Spatial and Sub-Daily Temporal Scales over Mainland China. Remote. Sens. 15 (5) (2023)
Bangti Jin, Zehui Zhou, Jun Zou
On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks. CoRR (2023)
Bangti Jin, Zehui Zhou, Jun Zou
On the Saturation Phenomenon of Stochastic Gradient Descent for Linear Inverse Problems. SIAM/ASA J. Uncertain. Quantification 9 (4) (2021)
Bangti Jin, Zehui Zhou, Jun Zou
An Analysis of Stochastic Variance Reduced Gradient for Linear Inverse Problems. CoRR (2021)
Bangti Jin, Zehui Zhou, Jun Zou
On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems. SIAM J. Optim. 30 (2) (2020)
Bangti Jin, Zehui Zhou, Jun Zou
On the Saturation Phenomenon of Stochastic Gradient Descent for Linear Inverse Problems. CoRR (2020)
Bangti Jin, Zehui Zhou, Jun Zou
On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems. CoRR (2019)