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2020 – today
- 2024
[j38]Zitong Li, Yunquan Song, Ling Jian:
Deep learning for higher-order nonparametric spatial autoregressive model. Appl. Intell. 54(17-18): 7570-7580 (2024)- [j37]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): 1101-1124 (2024) - [j36]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: 101437 (2024) - [j35]Jie Li, Yunquan Song, Ling Jian:
Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model. Stat. Comput. 34(6): 194 (2024) - [i3]Aobo Xu, Bingyu Chang, Qingpeng Liu, Ling Jian:
Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing. CoRR abs/2407.17722 (2024) - 2023
- [j34]Xijun Liang, Qi Yu, Kaili Zhang, Pan Zeng, Ling Jian:
LapRamp: a noise resistant classification algorithm based on manifold regularization. Appl. Intell. 53(20): 23797-23811 (2023) - [j33]Wenfang Han, Xiao Gu, Ling Jian:
A multi-layer multi-view stacking model for credit risk assessment. Intell. Data Anal. 27(5): 1457-1475 (2023) - [c4]Aobo Xu, Ling Jian:
A Deep News Headline Generation Model with REINFORCE Filter. IJCNN 2023: 1-7 - 2022
- [j32]Xijun Liang, Zhipeng Zhang, Yunquan Song, Ling Jian:
Kernel-based online regression with canal loss. Eur. J. Oper. Res. 297(1): 268-279 (2022) - [j31]Xiao Gu, Haiping Zhao, Ling Jian:
Sequence neural network for recommendation with multi-feature fusion. Expert Syst. Appl. 210: 118459 (2022) - [j30]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): 379-405 (2022) - [j29]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): 4383 (2022) - [j28]Xijun Liang, Zhipeng Zhang, Xingke Chen, Ling Jian:
Kernel learning with nonconvex ramp loss. Stat. Anal. Data Min. 15(6): 751-765 (2022) - 2021
- [j27]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): 14-22 (2021) - 2020
- [j26]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): 1997-2008 (2020) - [j25]Hejie Lei, Xingke Chen, Ling Jian:
Canal-LASSO: A sparse noise-resilient online linear regression model. Intell. Data Anal. 24(5): 993-1010 (2020)
2010 – 2019
- 2019
- [j24]Fuhao Gao, Xiaoxin Song, Ling Jian, Xijun Liang:
Toward Budgeted Online Kernel Ridge Regression on Streaming Data. IEEE Access 7: 26136-26145 (2019) - [j23]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: 66895-66909 (2019) - [j22]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: 210-221 (2019) - 2018
- [j21]Ling Jian, Jundong Li, Huan Liu:
Toward online node classification on streaming networks. Data Min. Knowl. Discov. 32(1): 231-257 (2018) - [j20]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): 324-332 (2018) - [j19]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): 149-162 (2018) - [j18]Ling Jian, Fuhao Gao, Peng Ren, Yunquan Song, Shihua Luo:
A Noise-Resilient Online Learning Algorithm for Scene Classification. Remote. Sens. 10(11): 1836 (2018) - [j17]Ling Jian, Jundong Li, Huan Liu:
Exploiting Multilabel Information for Noise-Resilient Feature Selection. ACM Trans. Intell. Syst. Technol. 9(5): 52:1-52:23 (2018) - [i2]Xijun Liang, Zhonghang Xia, Yongxiang Wang, Ling Jian, Xinnan Niu, Andrew J. Link:
Efficient online learning for large-scale peptide identification. CoRR abs/1805.03006 (2018) - [i1]Binbin Liu, Jundong Li, Yunquan Song, Xijun Liang, Ling Jian, Huan Liu:
Online Newton Step Algorithm with Estimated Gradient. CoRR abs/1811.09955 (2018) - 2017
- [j16]Xiaoxin Song, Ling Jian, Yunquan Song:
A chunk updating LS-SVMs based on block Gaussian elimination method. Appl. Soft Comput. 51: 96-104 (2017) - [j15]Jian Wang, Yanqing Wen, Zhenyun Ye, Ling Jian, Hua Chen:
Convergence analysis of BP neural networks via sparse response regularization. Appl. Soft Comput. 61: 354-363 (2017) - [j14]Ling Jian, Jundong Li, Shihua Luo:
Exploiting Expertise Rules for Statistical Data-Driven Modeling. IEEE Trans. Ind. Electron. 64(11): 8647-8656 (2017) - [j13]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): 2076-2087 (2017) - 2016
- [j12]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: 109-128 (2016) - [j11]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: 330-345 (2016) - [j10]Ling Jian, Zhonghang Xia, Xinnan Niu, Xijun Liang, Parimal Samir, Andrew J. Link:
ℓ2 Multiple Kernel Fuzzy SVM-Based Data Fusion for Improving Peptide Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 13(4): 804-809 (2016) - [c3]Jundong Li, Xia Hu, Ling Jian, Huan Liu:
Toward Time-Evolving Feature Selection on Dynamic Networks. ICDM 2016: 1003-1008 - [c2]Ling Jian, Jundong Li, Kai Shu, Huan Liu:
Multi-Label Informed Feature Selection. IJCAI 2016: 1627-1633 - 2015
- [j9]Shu-Qian Shen, Wendi Bao, Ling Jian:
On augmentation block triangular preconditioners for regularized saddle point problems. Comput. Math. Appl. 69(8): 828-837 (2015) - [c1]Xijun Liang, Zhonghang Xia, Ling Jian, Xinnan Niu, Andrew J. Link:
An efficient ACS algorithm for classification-based peptide identification. BIBM 2015: 286-289 - 2014
- [j8]Chuanhou Gao, Qinghuan Ge, Ling Jian:
Rule Extraction From Fuzzy-Based Blast Furnace SVM Multiclassifier for Decision-Making. IEEE Trans. Fuzzy Syst. 22(3): 586-596 (2014) - 2013
- [j7]Yunquan Song, Ling Jian, Lu Lin:
Block Empirical Likelihood for Longitudinal Single-Index Varying-Coefficient Model. J. Appl. Math. 2013: 792196:1-792196:10 (2013) - [j6]Ling Jian, Chuanhou Gao:
Binary Coding SVMs for the Multiclass Problem of Blast Furnace System. IEEE Trans. Ind. Electron. 60(9): 3846-3856 (2013) - 2012
- [j5]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: 949654:1-949654:12 (2012) - [j4]Ling Jian, Chuanhou Gao, Zhonghang Xia:
Constructing Multiple Kernel Learning Framework for Blast Furnace Automation. IEEE Trans Autom. Sci. Eng. 9(4): 763-777 (2012) - [j3]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): 1134-1145 (2012) - 2011
- [j2]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): 476-483 (2011) - [j1]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): 2272-2283 (2011)
Coauthor Index
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