Xudong Yao
Orcid: 0000-0002-4862-263X
According to our database1,
Xudong Yao
authored at least 23 papers
between 2005 and 2025.
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Bibliography
2025
Single-Image Superresolution for RGB Remote Sensing Imagery via Multiscale CNN-Transformer Feature Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
An MP-Newton method for computing nonlinear eigenpairs and its application for solving a semilinear Schrödinger equation.
J. Comput. Appl. Math., 2025
2024
Self-supervised spatial-temporal feature enhancement for one-shot video object detection.
Neurocomputing, 2024
Safe online optimization of motor speed synchronization control with incremental Q-learning.
Expert Syst. Appl., 2024
2023
Cloud Detection in Optical Remote Sensing Images With Deep Semi-Supervised and Active Learning.
IEEE Geosci. Remote. Sens. Lett., 2023
2022
CD_HIEFNet: Cloud Detection Network Using Haze Optimized Transformation Index and Edge Feature for Optical Remote Sensing Imagery.
Remote. Sens., 2022
2021
Light-Weight Cloud Detection Network for Optical Remote Sensing Images with Attention-Based DeeplabV3+ Architecture.
Remote. Sens., 2021
A Morse index formula for minimax type saddle points by a Ljusternik-Schnirelman minimax algorithm and its application in computation of multiple solutions of semilinear elliptic equation.
J. Comput. Appl. Math., 2021
Comput. Math. Methods Medicine, 2021
2019
A Ljusternik-Schnirelman minimax algorithm for finding equality constrained saddle points and its application for solving eigen problems: part I. Algorithm and global convergence.
Adv. Comput. Math., 2019
Biomedia ACM MM Grand Challenge 2019: Using Data Enhancement to Solve Sample Unbalance.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
2018
Two classes of Ljusternik-Schnirelman minimax algorithms and an application for finding multiple negative energy solutions of a class of p-Laplacian equations.
J. Comput. Appl. Math., 2018
2017
J. Electr. Comput. Eng., 2017
2016
Ljusternik-Schnirelman Minimax Algorithms and an Application for Finding Multiple Negative Energy Solutions of Semilinear Elliptic Dirichlet Problem Involving Concave and Convex Nonlinearities: Part I. Algorithms and Convergence.
J. Sci. Comput., 2016
A minimax method for finding saddle points of upper semi-differentiable locally Lipschitz continuous functional in Banach space and its convergence.
J. Comput. Appl. Math., 2016
Convergence analysis of a minimax method for finding multiple solutions of hemivariational inequality in Hilbert space.
Adv. Comput. Math., 2016
2015
Convergence Analysis of a Minimax Method for Finding Multiple Solutions of Semilinear Elliptic Equation: Part I - On Polyhedral Domain.
J. Sci. Comput., 2015
2013
A minimax method for finding saddle critical points of upper semi-differentiable locally Lipschitz continuous functional in Hilbert space and its convergence.
Math. Comput., 2013
2008
Numerical Methods for Computing Nonlinear Eigenpairs: Part II. Non-Iso-Homogeneous Cases.
SIAM J. Sci. Comput., 2008
2007
SIAM J. Sci. Comput., 2007
Unified Convergence Results on a Minimax Algorithm for Finding Multiple Critical Points in Banach Spaces.
SIAM J. Numer. Anal., 2007
2005
A Minimax Method for Finding Multiple Critical Points in Banach Spaces and Its Application to Quasi-linear Elliptic PDE.
SIAM J. Sci. Comput., 2005
A local minimax characterization for computing multiple nonsmooth saddle critical points.
Math. Program., 2005