Ling Jian

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 34

Top Topics

Manifold Regularization

Online Learning

Mining Data Streams

Top Venues

Intell. Data Anal.

Data Min. Knowl. Discov.

Publications

Ling Jian, Kai Shao, Ying Liu, Jundong Li, Xijun Liang
OEC: an online ensemble classifier for mining data streams with noisy labels. Data Min. Knowl. Discov. 38 (3) (2024)
Zitong Li, Yunquan Song, Ling Jian
Deep learning for higher-order nonparametric spatial autoregressive model. Appl. Intell. 54 (17-18) (2024)
Aobo Xu, Bingyu Chang, Qingpeng Liu, Ling Jian
Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing. CoRR (2024)
Meiling Xin, Wei Liu, Ling Jian
Live streaming product display or social interaction: How do they influence consumer intention and behavior? A heuristic-systematic perspective. Electron. Commer. Res. Appl. 67 (2024)
Wenfang Han, Xiao Gu, Ling Jian
A multi-layer multi-view stacking model for credit risk assessment. Intell. Data Anal. 27 (5) (2023)
Aobo Xu, Ling Jian
A Deep News Headline Generation Model with REINFORCE Filter. IJCNN (2023)
Xijun Liang, Qi Yu, Kaili Zhang, Pan Zeng, Ling Jian
LapRamp: a noise resistant classification algorithm based on manifold regularization. Appl. Intell. 53 (20) (2023)
Xijun Liang, Zhipeng Zhang, Yunquan Song, Ling Jian
Kernel-based online regression with canal loss. Eur. J. Oper. Res. 297 (1) (2022)
Xijun Liang, Zhipeng Zhang, Xingke Chen, Ling Jian
Kernel learning with nonconvex ramp loss. Stat. Anal. Data Min. 15 (6) (2022)
Ling Jian, Zhiqi Pu, Lili Zhu, Tiancan Yao, Xijun Liang
SS R-CNN: Self-Supervised Learning Improving Mask R-CNN for Ship Detection in Remote Sensing Images. Remote. Sens. 14 (17) (2022)
Xiao Gu, Haiping Zhao, Ling Jian
Sequence neural network for recommendation with multi-feature fusion. Expert Syst. Appl. 210 (2022)
Maojun Zhang, Cuiqing Zhang, Xijun Liang, Zhonghang Xia, Ling Jian, Jiangxia Nan
A noise-resilient online learning algorithm with ramp loss for ordinal regression. Intell. Data Anal. 26 (2) (2022)
Xijun Liang, Xiaoxin Song, Kai Qi, Jundong Li, Jinyu Liu, Ling Jian
Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams. IEEE Intell. Syst. 36 (3) (2021)
Shihua Luo, Zian Dai, Tianxin Chen, Hongyi Chen, Ling Jian
A weighted SVM ensemble predictor based on AdaBoost for blast furnace Ironmaking process. Appl. Intell. 50 (7) (2020)
Hejie Lei, Xingke Chen, Ling Jian
Canal-LASSO: A sparse noise-resilient online linear regression model. Intell. Data Anal. 24 (5) (2020)
Fuhao Gao, Xiaoxin Song, Ling Jian, Xijun Liang
Toward Budgeted Online Kernel Ridge Regression on Streaming Data. IEEE Access 7 (2019)
Xijun Liang, Zongjin Zhen, Yunquan Song, Ling Jian, Dongmei Song
Pol-SAR Based Oil Spillage Classification With Various Scenarios of Prior Knowledge. IEEE Access 7 (2019)
Ling Jian, Xiaoyu Ma, Yunquan Song, Shihua Luo
Laplace error penalty-based M-type model detection for a class of high dimensional semiparametric models. J. Comput. Appl. Math. 347 (2019)
Jing Liu, Zhongwen Guo, Ling Jian, Like Qiu, Xupeng Wang
Online multi-label learning with cost-sensitive budgeted SVM. Int. J. Comput. Sci. Eng. 17 (3) (2018)
Shihua Luo, Tianxin Chen, Ling Jian
Using Principal Component Analysis and Least Squares Support Vector Machine to Predict the Silicon Content in Blast Furnace System. Int. J. Online Eng. 14 (4) (2018)
Binbin Liu, Jundong Li, Yunquan Song, Xijun Liang, Ling Jian, Huan Liu
Online Newton Step Algorithm with Estimated Gradient. CoRR (2018)
Ling Jian, Jundong Li, Huan Liu
Toward online node classification on streaming networks. Data Min. Knowl. Discov. 32 (1) (2018)
Xijun Liang, Zhonghang Xia, Yongxiang Wang, Ling Jian, Xinnan Niu, Andrew J. Link
Efficient online learning for large-scale peptide identification. CoRR (2018)
Ling Jian, Fuhao Gao, Peng Ren, Yunquan Song, Shihua Luo
A Noise-Resilient Online Learning Algorithm for Scene Classification. Remote. Sens. 10 (11) (2018)
Ling Jian, Jundong Li, Huan Liu
Exploiting Multilabel Information for Noise-Resilient Feature Selection. ACM Trans. Intell. Syst. Technol. 9 (5) (2018)
Jian Wang, Yanqing Wen, Zhenyun Ye, Ling Jian, Hua Chen
Convergence analysis of BP neural networks via sparse response regularization. Appl. Soft Comput. 61 (2017)
Ling Jian, Shuqian Shen, Jundong Li, Xijun Liang, Lei Li
Budget Online Learning Algorithm for Least Squares SVM. IEEE Trans. Neural Networks Learn. Syst. 28 (9) (2017)
Xiaoxin Song, Ling Jian, Yunquan Song
A chunk updating LS-SVMs based on block Gaussian elimination method. Appl. Soft Comput. 51 (2017)
Ling Jian, Jundong Li, Shihua Luo
Exploiting Expertise Rules for Statistical Data-Driven Modeling. IEEE Trans. Ind. Electron. 64 (11) (2017)
Jundong Li, Xia Hu, Ling Jian, Huan Liu
Toward Time-Evolving Feature Selection on Dynamic Networks. ICDM (2016)
Ling Jian, Zhonghang Xia, Xinnan Niu, Xijun Liang, Parimal Samir, Andrew J. Link
Multiple Kernel Fuzzy SVM-Based Data Fusion for Improving Peptide Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (4) (2016)
Yunquan Song, Lu Lin, Ling Jian
Robust check loss-based variable selection of high-dimensional single-index varying-coefficient model. Commun. Nonlinear Sci. Numer. Simul. 36 (2016)
Ling Jian, Jundong Li, Kai Shu, Huan Liu
Multi-Label Informed Feature Selection. IJCAI (2016)
Yunquan Song, Ling Jian, Lu Lin
Robust exponential squared loss-based variable selection for high-dimensional single-index varying-coefficient model. J. Comput. Appl. Math. 308 (2016)
Shu-Qian Shen, Wendi Bao, Ling Jian
On augmentation block triangular preconditioners for regularized saddle point problems. Comput. Math. Appl. 69 (8) (2015)
Xijun Liang, Zhonghang Xia, Ling Jian, Xinnan Niu, Andrew J. Link
An efficient ACS algorithm for classification-based peptide identification. BIBM (2015)
Chuanhou Gao, Qinghuan Ge, Ling Jian
Rule Extraction From Fuzzy-Based Blast Furnace SVM Multiclassifier for Decision-Making. IEEE Trans. Fuzzy Syst. 22 (3) (2014)
Yunquan Song, Ling Jian, Lu Lin
Block Empirical Likelihood for Longitudinal Single-Index Varying-Coefficient Model. J. Appl. Math. 2013 (2013)
Ling Jian, Chuanhou Gao
Binary Coding SVMs for the Multiclass Problem of Blast Furnace System. IEEE Trans. Ind. Electron. 60 (9) (2013)
Chuanhou Gao, Ling Jian, Shihua Luo
Modeling of the Thermal State Change of Blast Furnace Hearth With Support Vector Machines. IEEE Trans. Ind. Electron. 59 (2) (2012)
Ling Jian, Chuanhou Gao, Zhonghang Xia
Constructing Multiple Kernel Learning Framework for Blast Furnace Automation. IEEE Trans Autom. Sci. Eng. 9 (4) (2012)
Ling Jian, Shuqian Shen, Song Yunquan
Improving the Solution of Least Squares Support Vector Machines with Application to a Blast Furnace System. J. Appl. Math. 2012 (2012)
Chuanhou Gao, Ling Jian, Xueyi Liu, Jiming Chen, Youxian Sun
Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System. IEEE Trans. Neural Networks 22 (12) (2011)
Ling Jian, Zhonghang Xia, Xijun Liang, Chuanhou Gao
Design of a multiple kernel learning algorithm for LS-SVM by convex programming. Neural Networks 24 (5) (2011)