Xiaoming Yuan
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Xiaoming Yuan 001 (University of Hong Kong, Department of Mathematics, China)
- Xiaoming Yuan 002 (Northeastern University, Qinhuangdao, China)
- Xiaoming Yuan 003 (Yanshan University, Hebei Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Qinhuangdao, China)
- Xiaoming Yuan 004 (Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan, China)
Bibliography
2024
Establishment of a risk prediction model for bowel necrosis in patients with incarcerated inguinal hernia.
BMC Medical Informatics Decis. Mak., December, 2024
Multi-source information joint transfer diagnosis for rolling bearing with unknown faults via wavelet transform and an improved domain adaptation network.
Reliab. Eng. Syst. Saf., February, 2024
Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matrices.
CoRR, 2024
CoRR, 2024
Relationship for Electric Network Between Internal Voltage Amplitude/Frequency Stimulation and Active/Reactive Power Response and Its Characteristics Analysis.
IEEE Access, 2024
2023
J. Comput. Phys., December, 2023
Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment.
Adv. Eng. Informatics, October, 2023
Blockchain-escorted distributed deep learning with collaborative model aggregation towards 6G networks.
Future Gener. Comput. Syst., April, 2023
Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems.
CoRR, 2023
Breaking quadrature exactness: A spectral method for the Allen-Cahn equation on spheres.
CoRR, 2023
The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach.
CoRR, 2023
2022
Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment.
Eng. Appl. Artif. Intell., 2022
2021
An ADMM-Newton-CNN Numerical Approach to a TV Model for Identifying Discontinuous Diffusion Coefficients in Elliptic Equations: Convex Case with Gradient Observations.
CoRR, 2021
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021
2020
An ADMM numerical approach to linear parabolic state constrained optimal control problems.
Numerische Mathematik, 2020
2019
An Inexact Uzawa Algorithmic Framework for Nonlinear Saddle Point Problems with Applications to Elliptic Optimal Control Problem.
SIAM J. Numer. Anal., 2019
An alternating direction method of multipliers with a worst-case O(1/n<sup>2</sup>) convergence rate.
Math. Comput., 2019
Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning.
CoRR, 2019
A High Accuracy Integrated Bagging-Fuzzy-GBDT Prediction Algorithm for Heart Disease Diagnosis.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019
Proceedings of the Computing, Communications and IoT Applications, ComComAp 2019, Shenzhen, 2019
2018
Implementing the Alternating Direction Method of Multipliers for Big Datasets: A Case Study of Least Absolute Shrinkage and Selection Operator.
SIAM J. Sci. Comput., 2018
A Concept Drift Based Ensemble Incremental Learning Approach for Intrusion Detection.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018
2017
Convergence Analysis of Douglas-Rachford Splitting Method for "Strongly + Weakly" Convex Programming.
SIAM J. Numer. Anal., 2017
Lattice-Based Patterned Fabric Inspection by Using Total Variation with Sparsity and Low-Rank Representations.
SIAM J. Imaging Sci., 2017
A sequential updating scheme of the Lagrange multiplier for separable convex programming.
Math. Comput., 2017
Generalized Short Circuit Ratio for Multi Power Electronic based Devices Infeed Systems: Defi-nition and Theoretical Analysis.
CoRR, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2015
The flare package for high dimensional linear regression and precision matrix estimation in R.
J. Mach. Learn. Res., 2015
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2013
Local Linear Convergence of the Alternating Direction Method of Multipliers for Quadratic Programs.
SIAM J. Numer. Anal., 2013
2012
SIAM J. Sci. Comput., 2012
2008
A new criterion for the inexact logarithmic-quadratic proximal method and its derived hybrid methods.
J. Glob. Optim., 2008
An APPA-based descent method with optimal step-sizes for monotone variational inequalities.
Eur. J. Oper. Res., 2008
Eur. J. Oper. Res., 2008
A heuristic algorithm for constrained multi-source Weber problem - The variational inequality approach.
Eur. J. Oper. Res., 2008
2007
Optim. Methods Softw., 2007
Eur. J. Oper. Res., 2007
2006
An Improved Extra-Gradient Method for Minimizing a Sum of <i>p</i> -norms - A Variational Inequality Approach.
Comput. Optim. Appl., 2006
2005
The improvement with relative errors of he et al.'s inexact alternating direction method for monotone variational inequalities.
Math. Comput. Model., 2005
2002
IEEE Trans. Ind. Electron., 2002