Meiling Xu

Orcid: 0000-0002-4226-5651

According to our database1, Meiling Xu authored at least 37 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Joint Entropy Enhanced Multi-objective Bayesian Optimization for Graph Pruning.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
An ensemble fraud detection approach for online loans based on application usage patterns.
J. Intell. Fuzzy Syst., 2023

2022
Default prediction of online credit loans based on mobile application usage behaviors.
J. Intell. Fuzzy Syst., 2022

2020
Blind Photograph Watermarking with Robust Defocus-Based JND Model.
Wirel. Commun. Mob. Comput., 2020

A Review on Intelligence Dehazing and Color Restoration for Underwater Images.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Recurrent Broad Learning Systems for Time Series Prediction.
IEEE Trans. Cybern., 2020

Short-Term Solar Irradiance Forecasting Based on a Hybrid Deep Learning Methodology.
Inf., 2020

Imaging analysis of 13 rare cases of renal collecting (Bellini) duct carcinoma in northern China: a case series and literature review.
BMC Bioinform., 2020

2019
Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2019

UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019

Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction.
IEEE Trans. Knowl. Data Eng., 2019

Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction.
IEEE Trans. Cybern., 2019

Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm.
IEEE Trans. Cybern., 2019

Nonuniform State Space Reconstruction for Multivariate Chaotic Time Series.
IEEE Trans. Cybern., 2019

Robust Image Watermarking via Perceptual Structural Regularity-based JND Model.
KSII Trans. Internet Inf. Syst., 2019

Classification Method of Teaching Resources Based on Improved KNN Algorithm.
Int. J. Emerg. Technol. Learn., 2019

Robust Image Watermarking Based on Two-Layer Visual Saliency-Induced JND Profile.
IEEE Access, 2019

2018
Laplacian Echo State Network for Multivariate Time Series Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities.
IEEE Trans. Ind. Informatics, 2018

Wavelet-denoising multiple echo state networks for multivariate time series prediction.
Inf. Sci., 2018

Visual Saliency Based Just Noticeable Difference Estimation in DWT Domain.
Inf., 2018

Multi-feature Classification of Hyperspectral Image via Probabilistic SVM and Guided Filter.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Chaotic Time Series Prediction Based on Improved MOPSO-ELM.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Multivariate Chaotic Time Series Prediction Based on ELM-PLSR and Hybrid Variable Selection Algorithm.
Neural Process. Lett., 2017

A Novel STDM Watermarking Using Visual Saliency-Based JND Model.
Inf., 2017

Online Chaotic Time Series Prediction Based on Square Root Kalman Filter Extreme Learning Machine.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Automatic Detection of Epileptic Seizures Based on Entropies and Extreme Learning Machine.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Improved STDM Watermarking Using Semantic Information-Based JND Model.
Proceedings of the Cloud Computing and Security - Third International Conference, 2017

2016
Adaptive Elastic Echo State Network for Multivariate Time Series Prediction.
IEEE Trans. Cybern., 2016

L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Predicting Multivariate Time Series Using Subspace Echo State Network.
Neural Process. Lett., 2015

Online multivariate time series prediction using SCKF-γESN model.
Neurocomputing, 2015

Developing an Integration Framework for Crowdsourcing and Internet of Things with Applications for Disaster Response.
Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015

2014
On the least signless Laplacian eigenvalue of non-bipartite unicyclic graphs with both given order and diameter.
Ars Comb., 2014

2012
Subspace Echo State Network for Multivariate Time Series Prediction.
Proceedings of the Neural Information Processing - 19th International Conference, 2012


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