Ling Jian

According to our database1, Ling Jian authored at least 40 papers between 2011 and 2023.

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

Timeline

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Bibliography

2023
LapRamp: a noise resistant classification algorithm based on manifold regularization.
Appl. Intell., October, 2023

A multi-layer multi-view stacking model for credit risk assessment.
Intell. Data Anal., 2023

A Deep News Headline Generation Model with REINFORCE Filter.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Kernel learning with nonconvex ramp loss.
Stat. Anal. Data Min., 2022

SS R-CNN: Self-Supervised Learning Improving Mask R-CNN for Ship Detection in Remote Sensing Images.
Remote. Sens., 2022

A noise-resilient online learning algorithm with ramp loss for ordinal regression.
Intell. Data Anal., 2022

Sequence neural network for recommendation with multi-feature fusion.
Expert Syst. Appl., 2022

Kernel-based online regression with canal loss.
Eur. J. Oper. Res., 2022

2021
Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams.
IEEE Intell. Syst., 2021

2020
Canal-LASSO: A sparse noise-resilient online linear regression model.
Intell. Data Anal., 2020

A weighted SVM ensemble predictor based on AdaBoost for blast furnace Ironmaking process.
Appl. Intell., 2020

2019
Laplace error penalty-based M-type model detection for a class of high dimensional semiparametric models.
J. Comput. Appl. Math., 2019

Pol-SAR Based Oil Spillage Classification With Various Scenarios of Prior Knowledge.
IEEE Access, 2019

Toward Budgeted Online Kernel Ridge Regression on Streaming Data.
IEEE Access, 2019

2018
Exploiting Multilabel Information for Noise-Resilient Feature Selection.
ACM Trans. Intell. Syst. Technol., 2018

A Noise-Resilient Online Learning Algorithm for Scene Classification.
Remote. Sens., 2018

Using Principal Component Analysis and Least Squares Support Vector Machine to Predict the Silicon Content in Blast Furnace System.
Int. J. Online Eng., 2018

Online multi-label learning with cost-sensitive budgeted SVM.
Int. J. Comput. Sci. Eng., 2018

Toward online node classification on streaming networks.
Data Min. Knowl. Discov., 2018

Online Newton Step Algorithm with Estimated Gradient.
CoRR, 2018

Efficient online learning for large-scale peptide identification.
CoRR, 2018

2017
Budget Online Learning Algorithm for Least Squares SVM.
IEEE Trans. Neural Networks Learn. Syst., 2017

Exploiting Expertise Rules for Statistical Data-Driven Modeling.
IEEE Trans. Ind. Electron., 2017

Convergence analysis of BP neural networks via sparse response regularization.
Appl. Soft Comput., 2017

A chunk updating LS-SVMs based on block Gaussian elimination method.
Appl. Soft Comput., 2017

2016
ℓ<sub>2</sub> Multiple Kernel Fuzzy SVM-Based Data Fusion for Improving Peptide Identification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Robust exponential squared loss-based variable selection for high-dimensional single-index varying-coefficient model.
J. Comput. Appl. Math., 2016

Robust check loss-based variable selection of high-dimensional single-index varying-coefficient model.
Commun. Nonlinear Sci. Numer. Simul., 2016

Multi-Label Informed Feature Selection.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Toward Time-Evolving Feature Selection on Dynamic Networks.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
On augmentation block triangular preconditioners for regularized saddle point problems.
Comput. Math. Appl., 2015

An efficient ACS algorithm for classification-based peptide identification.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Rule Extraction From Fuzzy-Based Blast Furnace SVM Multiclassifier for Decision-Making.
IEEE Trans. Fuzzy Syst., 2014

2013
Binary Coding SVMs for the Multiclass Problem of Blast Furnace System.
IEEE Trans. Ind. Electron., 2013

Block Empirical Likelihood for Longitudinal Single-Index Varying-Coefficient Model.
J. Appl. Math., 2013

2012
Modeling of the Thermal State Change of Blast Furnace Hearth With Support Vector Machines.
IEEE Trans. Ind. Electron., 2012

Constructing Multiple Kernel Learning Framework for Blast Furnace Automation.
IEEE Trans Autom. Sci. Eng., 2012

Improving the Solution of Least Squares Support Vector Machines with Application to a Blast Furnace System.
J. Appl. Math., 2012

2011
Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System.
IEEE Trans. Neural Networks, 2011

Design of a multiple kernel learning algorithm for LS-SVM by convex programming.
Neural Networks, 2011


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