Application of neural networks for predicting hot-rolled strip crown. - Jifei Deng; Jie Sun 019; Wen Peng; Yaohui Hu; Dian-hua Zhang (Appl. Soft Comput., 2019)

Application of Mind Evolutionary Algorithm and Artificial Neural Networks for Prediction of Profile and Flatness in Hot Strip Rolling Process. - Zhenhua Wang; Gengsheng Ma; Dianyao Gong; Jie Sun 019; Dian-hua Zhang (Neural Process. Lett., 2019)

Improved Parallax Image Stitching Algorithm Based on Feature Block. - Huaitao Shi; Lei Guo 010; Shuai Tan; Gang Li; Jie Sun 019 (Symmetry, 2019)

Research on Nonlinear Coupling Anti-Swing Control Method of Double Pendulum Gantry Crane Based on Improved Energy. - Huaitao Shi; Gang Li; Xin Ma 001; Jie Sun 019 (Symmetry, 2019)

Gearbox Incipient Fault Detection Based on Deep Recursive Dynamic Principal Component Analysis. - Huaitao Shi; Jin Guo; Xiaotian Bai; Lei Guo 010; Zhenpeng Liu; Jie Sun 019 (IEEE Access, 2020)

Output feedback secure control for cyber-physical systems against sparse sensor attacks. - Cheng-Qian Liu; Xiao-Jian Li 001; Yue Long; Jie Sun 019 (Appl. Math. Comput., 2020)

Prediction and analysis of cold rolling mill vibration based on a data-driven method. - Xing Lu; Jie Sun 019; Zhixin Song; Guangtao Li; Zhenhua Wang; Yunjian Hu; Qinglong Wang 004; Dian-hua Zhang (Appl. Soft Comput., 2020)

Disturbance observer-based output feedback control for uncertain QUAVs with input saturation. - Rui Meng; Shuzong Chen; Changchun Hua; Junlei Qian; Jie Sun 019 (Neurocomputing, 2020)

Reinforcement learning for industrial process control: A case study in flatness control in steel industry. - Jifei Deng; Seppo A. Sierla; Jie Sun 019; Valeriy Vyatkin (Comput. Ind., 2022)

Imbalanced multiclass classification with active learning in strip rolling process. - Jifei Deng; Jie Sun 019; Wen Peng; Dian-hua Zhang; Valeriy Vyatkin (Knowl. Based Syst., 2022)

Fault Detection and Isolation for a Class of Nonlinear Systems Based on Gerschgorin Theorem and Optimization Approach. - Jie Sun 019; He Liu; Xiao-Jian Li 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Offline reinforcement learning for industrial process control: A case study from steel industry. - Jifei Deng; Seppo A. Sierla; Jie Sun 019; Valeriy Vyatkin (Inf. Sci., 2023)

False Data Injection Attack Detection Based on Redundant Sparse Reconstruction. - Qi He; Jie Sun 019; Xiao-Jian Li 001 (IEEE Trans. Serv. Comput., 2023)

Mass customization with reinforcement learning: Automatic reconfiguration of a production line. - Jifei Deng; Seppo A. Sierla; Jie Sun 019; Valeriy Vyatkin (Appl. Soft Comput., 2023)

Prediction of strip section shape for hot-rolled based on mechanism fusion data model. - Yafeng Ji; Lebao Song; Hao Yuan; Huaying Li; Wen Peng; Jie Sun 019 (Appl. Soft Comput., 2023)

Dynamic Modeling of Strip Rolling Process Using Probabilistic Neural Network. - Jifei Deng; Seppo A. Sierla; Jie Sun 019; Valeriy Vyatkin (AMC, 2024)

An efficient detector for detecting surface defects on cold-rolled steel strips. - Shuzong Chen; Shengquan Jiang; Xiaoyu Wang; Pu Sun; Changchun Hua; Jie Sun 019 (Eng. Appl. Artif. Intell., 2024)

A novel deep ensemble reinforcement learning based control method for strip flatness in cold rolling steel industry. - Wen Peng; Jiawei Lei; Cheng-Yan Ding; Chongxiang Yue; Gengsheng Ma; Jie Sun 019; Dianhua Zhang (Eng. Appl. Artif. Intell., 2024)

Enhanced recognition of insulator defects on power transmission lines via proposal-based detection model with integrated improvement methods. - Qinglong Wang 004; Yongjian Li; Shihao Cui; Na Li; Xinchun Zhang; Wenqiang Jiang; Wen Peng; Jie Sun 019 (Eng. Appl. Artif. Intell., 2024)

A novel cost-sensitive quality determination framework in hot rolling steel industry. - Cheng-Yan Ding; Jun-Cheng Ye; Long-Jun Wang; Jun-Xiang Cai; Wen Peng; Jie Sun 019; Dianhua Zhang (Inf. Sci., 2024)

A data-driven fault detection approach for unknown large-scale systems based on GA-SVM. - Zhen-Lei Ma; Xiao-Jian Li 001; Jie Sun 019 (Inf. Sci., 2024)

Deep learning-based flatness prediction via multivariate industrial data for steel strip during tandem cold rolling. - Qinglong Wang 004; Jie Sun 019; Yunjian Hu; Wenqiang Jiang; Xinchun Zhang; Zhangqi Wang (Expert Syst. Appl., 2024)

Physics-informed generative regression for industrial process modeling in steel strip rolling. - Jifei Deng; Seppo A. Sierla; Jie Sun 019; Valeriy Vyatkin (Expert Syst. Appl., 2025)

A high-precision and real-time lightweight detection model for small defects in cold-rolled steel. - Shuzong Chen; Shengquan Jiang; Xiaoyu Wang; Ke Ye; Jie Sun 019; Changchun Hua (J. Real Time Image Process., 2025)