Ling Jian

According to our database, Ling Jian authored at least 48 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ROPU: A robust online positive-unlabeled learning algorithm.

Xijun Liang, Kaili Zhu, An Xiao, Ya Wen, Kaili Zhang, Suhang Wang, Ling Jian

Knowl. Based Syst., 2025

A learning-based artificial bee colony algorithm for operation optimization in gas pipelines.

Min Liu, Yundong Yuan, Aobo Xu, Tianhu Deng, Ling Jian

Inf. Sci., 2025

2024

Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model.

Jie Li, Yunquan Song, Ling Jian

Stat. Comput., December, 2024

Deep learning for higher-order nonparametric spatial autoregressive model.

Zitong Li, Yunquan Song, Ling Jian

Appl. Intell., September, 2024

OEC: an online ensemble classifier for mining data streams with noisy labels.

Ling Jian, Kai Shao, Ying Liu, Jundong Li, Xijun Liang

Data Min. Knowl. Discov., May, 2024

Multiscale Feature Fusion Method for Liver Cirrhosis Classification.

Shanshan Wang, Ling Jian, Kaiyan Li, Pingping Zhou, Liang Zeng

Int. J. Imaging Syst. Technol., 2024

Live streaming product display or social interaction: How do they influence consumer intention and behavior? A heuristic-systematic perspective.

Meiling Xin, Wei Liu, Ling Jian

Electron. Commer. Res. Appl., 2024

Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing.

Aobo Xu, Bingyu Chang, Qingpeng Liu, Ling Jian

CoRR, 2024

2023

LapRamp: a noise resistant classification algorithm based on manifold regularization.

Xijun Liang, Qi Yu, Kaili Zhang, Pan Zeng, Ling Jian

Appl. Intell., October, 2023

A multi-layer multi-view stacking model for credit risk assessment.

Wenfang Han, Xiao Gu, Ling Jian

Intell. Data Anal., 2023

A Deep News Headline Generation Model with REINFORCE Filter.

Aobo Xu, Ling Jian

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Kernel learning with nonconvex ramp loss.

Xijun Liang, Zhipeng Zhang, Xingke Chen, Ling Jian

Stat. Anal. Data Min., 2022

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

Ling Jian, Zhiqi Pu, Lili Zhu, Tiancan Yao, Xijun Liang

Remote. Sens., 2022

A noise-resilient online learning algorithm with ramp loss for ordinal regression.

Maojun Zhang, Cuiqing Zhang, Xijun Liang, Zhonghang Xia, Ling Jian, Jiangxia Nan

Intell. Data Anal., 2022

Sequence neural network for recommendation with multi-feature fusion.

Xiao Gu, Haiping Zhao, Ling Jian

Expert Syst. Appl., 2022

Kernel-based online regression with canal loss.

Xijun Liang, Zhipeng Zhang, Yunquan Song, Ling Jian

Eur. J. Oper. Res., 2022

2021

Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams.

Xijun Liang, Xiaoxin Song, Kai Qi, Jundong Li, Jinyu Liu, Ling Jian

IEEE Intell. Syst., 2021

2020

Canal-LASSO: A sparse noise-resilient online linear regression model.

Hejie Lei, Xingke Chen, Ling Jian

Intell. Data Anal., 2020

A weighted SVM ensemble predictor based on AdaBoost for blast furnace Ironmaking process.

Shihua Luo, Zian Dai, Tianxin Chen, Hongyi Chen, Ling Jian

Appl. Intell., 2020

2019

Laplace error penalty-based M-type model detection for a class of high dimensional semiparametric models.

Ling Jian, Xiaoyu Ma, Yunquan Song, Shihua Luo

J. Comput. Appl. Math., 2019

Pol-SAR Based Oil Spillage Classification With Various Scenarios of Prior Knowledge.

Xijun Liang, Zongjin Zhen, Yunquan Song, Ling Jian, Dongmei Song

IEEE Access, 2019

Toward Budgeted Online Kernel Ridge Regression on Streaming Data.

Fuhao Gao, Xiaoxin Song, Ling Jian, Xijun Liang

IEEE Access, 2019

2018

Exploiting Multilabel Information for Noise-Resilient Feature Selection.

Ling Jian, Jundong Li, Huan Liu

ACM Trans. Intell. Syst. Technol., 2018

A Noise-Resilient Online Learning Algorithm for Scene Classification.

Ling Jian, Fuhao Gao, Peng Ren, Yunquan Song, Shihua Luo

Remote. Sens., 2018

Using Principal Component Analysis and Least Squares Support Vector Machine to Predict the Silicon Content in Blast Furnace System.

Shihua Luo, Tianxin Chen, Ling Jian

Int. J. Online Eng., 2018

Online multi-label learning with cost-sensitive budgeted SVM.

Jing Liu, Zhongwen Guo, Ling Jian, Like Qiu, Xupeng Wang

Int. J. Comput. Sci. Eng., 2018

Toward online node classification on streaming networks.

Ling Jian, Jundong Li, Huan Liu

Data Min. Knowl. Discov., 2018

Online Newton Step Algorithm with Estimated Gradient.

Binbin Liu, Jundong Li, Yunquan Song, Xijun Liang, Ling Jian, Huan Liu

CoRR, 2018

Efficient online learning for large-scale peptide identification.

Xijun Liang, Zhonghang Xia, Yongxiang Wang, Ling Jian, Xinnan Niu, Andrew J. Link

CoRR, 2018

2017

Budget Online Learning Algorithm for Least Squares SVM.

Ling Jian, Shuqian Shen, Jundong Li, Xijun Liang, Lei Li

IEEE Trans. Neural Networks Learn. Syst., 2017

Exploiting Expertise Rules for Statistical Data-Driven Modeling.

Ling Jian, Jundong Li, Shihua Luo

IEEE Trans. Ind. Electron., 2017

Convergence analysis of BP neural networks via sparse response regularization.

Jian Wang, Yanqing Wen, Zhenyun Ye, Ling Jian, Hua Chen

Appl. Soft Comput., 2017

A chunk updating LS-SVMs based on block Gaussian elimination method.

Xiaoxin Song, Ling Jian, Yunquan Song

Appl. Soft Comput., 2017

2016

ℓ₂ Multiple Kernel Fuzzy SVM-Based Data Fusion for Improving Peptide Identification.

Ling Jian, Zhonghang Xia, Xinnan Niu, Xijun Liang, Parimal Samir, Andrew J. Link

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Robust exponential squared loss-based variable selection for high-dimensional single-index varying-coefficient model.

Yunquan Song, Ling Jian, Lu Lin

J. Comput. Appl. Math., 2016

Robust check loss-based variable selection of high-dimensional single-index varying-coefficient model.

Yunquan Song, Lu Lin, Ling Jian

Commun. Nonlinear Sci. Numer. Simul., 2016

Multi-Label Informed Feature Selection.

Ling Jian, Jundong Li, Kai Shu, Huan Liu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Toward Time-Evolving Feature Selection on Dynamic Networks.

Jundong Li, Xia Hu, Ling Jian, Huan Liu

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

On augmentation block triangular preconditioners for regularized saddle point problems.

Shu-Qian Shen, Wendi Bao, Ling Jian

Comput. Math. Appl., 2015

An efficient ACS algorithm for classification-based peptide identification.

Xijun Liang, Zhonghang Xia, Ling Jian, Xinnan Niu, Andrew J. Link

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.

Chuanhou Gao, Qinghuan Ge, Ling Jian

IEEE Trans. Fuzzy Syst., 2014

2013

Binary Coding SVMs for the Multiclass Problem of Blast Furnace System.

Ling Jian, Chuanhou Gao

IEEE Trans. Ind. Electron., 2013

Block Empirical Likelihood for Longitudinal Single-Index Varying-Coefficient Model.

Yunquan Song, Ling Jian, Lu Lin

J. Appl. Math., 2013

2012

Modeling of the Thermal State Change of Blast Furnace Hearth With Support Vector Machines.

Chuanhou Gao, Ling Jian, Shihua Luo

IEEE Trans. Ind. Electron., 2012

Constructing Multiple Kernel Learning Framework for Blast Furnace Automation.

Ling Jian, Chuanhou Gao, Zhonghang Xia

IEEE Trans Autom. Sci. Eng., 2012

Improving the Solution of Least Squares Support Vector Machines with Application to a Blast Furnace System.

Ling Jian, Shuqian Shen, Song Yunquan

J. Appl. Math., 2012

2011

Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System.

Chuanhou Gao, Ling Jian, Xueyi Liu, Jiming Chen, Youxian Sun

IEEE Trans. Neural Networks, 2011

Design of a multiple kernel learning algorithm for LS-SVM by convex programming.

Ling Jian, Zhonghang Xia, Xijun Liang, Chuanhou Gao

Neural Networks, 2011