Design of a multiple kernel learning algorithm for LS-SVM by convex programming. - Ling Jian; Zhonghang Xia; Xijun Liang; Chuanhou Gao (Neural Networks, 2011)

Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System. - Chuanhou Gao; Ling Jian; Xueyi Liu; Jiming Chen 001; Youxian Sun (IEEE Trans. Neural Networks, 2011)

Improving the Solution of Least Squares Support Vector Machines with Application to a Blast Furnace System. - Ling Jian; Shuqian Shen 001; Song Yunquan (J. Appl. Math., 2012)

Constructing Multiple Kernel Learning Framework for Blast Furnace Automation. - Ling Jian; Chuanhou Gao; Zhonghang Xia (IEEE Trans Autom. Sci. Eng., 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)

Block Empirical Likelihood for Longitudinal Single-Index Varying-Coefficient Model. - Yunquan Song; Ling Jian; Lu Lin 002 (J. Appl. Math., 2013)

Binary Coding SVMs for the Multiclass Problem of Blast Furnace System. - Ling Jian; Chuanhou Gao (IEEE Trans. Ind. Electron., 2013)

Rule Extraction From Fuzzy-Based Blast Furnace SVM Multiclassifier for Decision-Making. - Chuanhou Gao; Qinghuan Ge; Ling Jian (IEEE Trans. Fuzzy Syst., 2014)

An efficient ACS algorithm for classification-based peptide identification. - Xijun Liang; Zhonghang Xia; Ling Jian; Xinnan Niu; Andrew J. Link (BIBM, 2015)

On augmentation block triangular preconditioners for regularized saddle point problems. - Shu-Qian Shen 001; Wendi Bao; Ling Jian (Comput. Math. Appl., 2015)

Toward Time-Evolving Feature Selection on Dynamic Networks. - Jundong Li; Xia Hu 001; Ling Jian; Huan Liu 001 (ICDM, 2016)

Multi-Label Informed Feature Selection. - Ling Jian; Jundong Li; Kai Shu; Huan Liu 001 (IJCAI, 2016)

Robust check loss-based variable selection of high-dimensional single-index varying-coefficient model. - Yunquan Song; Lu Lin 002; Ling Jian (Commun. Nonlinear Sci. Numer. Simul., 2016)

Robust exponential squared loss-based variable selection for high-dimensional single-index varying-coefficient model. - Yunquan Song; Ling Jian; Lu Lin 002 (J. Comput. Appl. Math., 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)

A chunk updating LS-SVMs based on block Gaussian elimination method. - Xiaoxin Song; Ling Jian; Yunquan Song (Appl. Soft Comput., 2017)

Convergence analysis of BP neural networks via sparse response regularization. - Jian Wang 010; Yanqing Wen; Zhenyun Ye; Ling Jian; Hua Chen (Appl. Soft Comput., 2017)

Exploiting Expertise Rules for Statistical Data-Driven Modeling. - Ling Jian; Jundong Li; Shihua Luo (IEEE Trans. Ind. Electron., 2017)

Budget Online Learning Algorithm for Least Squares SVM. - Ling Jian; Shuqian Shen 001; Jundong Li; Xijun Liang; Lei Li 025 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Efficient online learning for large-scale peptide identification. - Xijun Liang; Zhonghang Xia; Yongxiang Wang; Ling Jian; Xinnan Niu; Andrew J. Link (CoRR, 2018)

Online Newton Step Algorithm with Estimated Gradient. - Binbin Liu; Jundong Li; Yunquan Song; Xijun Liang; Ling Jian; Huan Liu 001 (CoRR, 2018)

Toward online node classification on streaming networks. - Ling Jian; Jundong Li; Huan Liu 001 (Data Min. Knowl. Discov., 2018)

Online multi-label learning with cost-sensitive budgeted SVM. - Jing Liu; Zhongwen Guo; Ling Jian; Like Qiu; Xupeng Wang 003 (Int. J. Comput. Sci. Eng., 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)

A Noise-Resilient Online Learning Algorithm for Scene Classification. - Ling Jian; Fuhao Gao; Peng Ren 001; Yunquan Song; Shihua Luo (Remote. Sens., 2018)

Exploiting Multilabel Information for Noise-Resilient Feature Selection. - Ling Jian; Jundong Li; Huan Liu 001 (ACM Trans. Intell. Syst. Technol., 2018)

Toward Budgeted Online Kernel Ridge Regression on Streaming Data. - Fuhao Gao; Xiaoxin Song; Ling Jian; Xijun Liang (IEEE Access, 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)

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)

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)

Canal-LASSO: A sparse noise-resilient online linear regression model. - Hejie Lei; Xingke Chen; Ling Jian (Intell. Data Anal., 2020)

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)

Kernel-based online regression with canal loss. - Xijun Liang; Zhipeng Zhang; Yunquan Song; Ling Jian (Eur. J. Oper. Res., 2022)

Sequence neural network for recommendation with multi-feature fusion. - Xiao Gu 006; Haiping Zhao; Ling Jian (Expert Syst. Appl., 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)

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)

Kernel learning with nonconvex ramp loss. - Xijun Liang; Zhipeng Zhang; Xingke Chen; Ling Jian (Stat. Anal. Data Min., 2022)

A Deep News Headline Generation Model with REINFORCE Filter. - Aobo Xu; Ling Jian (IJCNN, 2023)

A multi-layer multi-view stacking model for credit risk assessment. - Wenfang Han; Xiao Gu 006; Ling Jian (Intell. Data Anal., 2023)

LapRamp: a noise resistant classification algorithm based on manifold regularization. - Xijun Liang; Qi Yu; Kaili Zhang; Pan Zeng; Ling Jian (Appl. Intell., 2023)

Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing. - Aobo Xu; Bingyu Chang; Qingpeng Liu; Ling Jian (CoRR, 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)

Multiscale Feature Fusion Method for Liver Cirrhosis Classification. - Shanshan Wang; Ling Jian; Kaiyan Li 006; Pingping Zhou; Liang Zeng (Int. J. Imaging Syst. Technol., 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., 2024)

Deep learning for higher-order nonparametric spatial autoregressive model. - Zitong Li; Yunquan Song; Ling Jian (Appl. Intell., 2024)

Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model. - Jie Li; Yunquan Song; Ling Jian (Stat. Comput., 2024)

Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact-Checking and Explanation Generation. - Aman Rangapur; Haoran Wang 005; Ling Jian; Kai Shu (WWW (Companion Volume), 2025)

Multiple scales fusion and query matching stabilization for detection with transformer. - Shenyu Du; Xijun Liang; Kun Wu; Ye Tian; Yue Liu; Ling Jian (Eng. Appl. Artif. Intell., 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)

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)

Disentangling the market reaction to corporate data breach events: a configurational approach. - Haiping Zhao; Chongzhi Rao; Mengli Yu; Ling Jian (Data Technol. Appl., 2025)

NGDE: A Niching-Based Gradient-Directed Evolution Algorithm for Nonconvex Optimization. - Qi Yu; Xijun Liang; Mengzhen Li; Ling Jian (IEEE Trans. Neural Networks Learn. Syst., 2025)

Together Is Better: Knowledge-aware Model with Resume Fusion for Online Job Recommendation. - Xiao Gu 006; Ling Jian; Chongzhi Rao; Zhaohui Bu; Xianggang Cheng (ACM Trans. Knowl. Discov. Data, 2025)