A deep learning model for the accurate prediction of the microstructure performance of hot rolled steel. - Bin-bin Wang; Yong Song 001; Jing Wang (Int. J. Manuf. Res., 2021)

Either-or communication-based identification of FIR systems with binary-valued observations and channel uncertainty. - Jin Guo 003; Peng Yu; Yuxuan Liu; Yong Song 001; Fengwei Jing (J. Frankl. Inst., 2023)

Identification of FIR systems with binary-valued observations against denial-of-service attacks. - Jin Guo 003; Ruizhe Jia; Ruinan Su; Yanlong Zhao; Yong Song 001 (Appl. Math. Comput., 2023)

Optimal Period Input Design in FIR System Identification With Binary-Valued Observations and Event-Triggered Communication. - Jin Guo 003; Peng Yu; Yang Li; Yong Song 001; Fengwei Jing (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Uncertainty Quantification of Data-driven Quality Prediction Model For Realizing the Active Sampling Inspection of Mechanical Properties in Steel Production. - Yong Song 001; Feifei Li; Zheng Wang; Baozhong Zhang; Borui Zhang (Int. J. Comput. Intell. Syst., 2024)

H ∞ control for cyber physical systems under DoS attacks via tracking-removed autoencoder. - Peng Yu; Ruizhe Jia; Jimin Wang; Yong Song 001; Jin Guo 003 (Int. J. Control, 2024)

Detection of data tampering attack in FIR system identification with binary-valued observations. - Ruizhe Jia; Ruinan Su; Peng Yu; Yong Song 001; Jin Guo 003 (Trans. Inst. Meas. Control, 2025)

Improving imbalanced industrial datasets to enhance the accuracy of mechanical property prediction and process optimization for strip steel. - Feifei Li; Anrui He; Yong Song 001; Chengzhe Shen; Fenjia Wang; Tieheng Yuan; Shiwei Zhang; Xiaoqing Xu; Yi Qiang; Chao Liu; Pengfei Liu; Qiangguo Zhao (J. Intell. Manuf., 2025)

Physics-informed semi-supervised learning for hot-rolled strip flatness pattern recognition based on FixMatch method. - Fenjia Wang; Anrui He; Chao Liu; Wendan Xiao; Yong Song 001; Changke Chen; Yi Qiang (Expert Syst. Appl., 2026)