BF Hot Metal Silicon Content Prediction Using Unsupervised Fuzzy Clustering. - Shi-Hua Luo; Jiu-sun Zeng (ICFIE, 2007)

Subspace method for identification and control of blast furnace ironmaking process. - Jiu-sun Zeng; Xiang-Guan Liu; Chuan-Hou Gao; Shi-Hua Luo (ACC, 2008)

Data-driven predictive control for blast furnace ironmaking process. - Jiu-sun Zeng; Chuanhou Gao; Hongye Su (Comput. Chem. Eng., 2010)

Soft sensor development using non-Gaussian Just-In-Time modeling. - Jiusun Zeng; Lei Xie 007; Chuanhou Gao; Jingjing Sha (CDC/ECC, 2011)

Process monitoring based on Kullback Leibler divergence. - Jiusun Zeng; Lei Xie 007; Uwe Krüger 001; Jie Yu 028; Jingjing Sha; Xuyi Fu (ECC, 2013)

Detecting abnormal situations using the Kullback-Leibler divergence. - Jiusun Zeng; Uwe Kruger 001; Jaap Geluk; Xun Wang; Lei Xie 007 (Autom., 2014)

Novel Just-In-Time Learning-Based Soft Sensor Utilizing Non-Gaussian Information. - Lei Xie 007; Jiusun Zeng; Chuanhou Gao (IEEE Trans. Control. Syst. Technol., 2014)

Mixture Probabilistic Linear Discriminant Analyzer for Process Fault Classification. - Yi Liu 037; Jiusun Zeng; Lei Xie 007; Xun Lang; Shihua Luo; Hongye Su (CAA SAFEPROCESS, 2019)

Double Layer Distributed Process Monitoring Based on Hierarchical Multi-Block Decomposition. - Yuchen He; Jiusun Zeng (IEEE Access, 2019)

Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation. - Yi Liu 037; Jiusun Zeng; Lei Xie 007; Shihua Luo; Hongye Su (IEEE Trans. Ind. Informatics, 2019)

A Unified Probabilistic Monitoring Framework for Multimode Processes Based on Probabilistic Linear Discriminant Analysis. - Yi Liu 037; Jiusun Zeng; Jie Bao 002; Lei Xie 007 (IEEE Trans. Ind. Informatics, 2020)

Structured Dictionary Learning for Fault Detection and Isolation. - Yi Liu 037; Jiusun Zeng; Bingbing Jiang 001; Xun Lang; Lei Xie 007 (CAA SAFEPROCESS, 2021)

A Bayesian belief-rule-based inference multivariate alarm system for nonlinear time-varying processes. - Xiaobin Xu; Zhuochen Yu; Jiusun Zeng; Wanqi Xiong; Yanzhu Hu; Guodong Wang (Sci. China Inf. Sci., 2021)

Structured Principal Component Analysis Model With Variable Correlation Constraint. - Ruikun Zhai; Jiusun Zeng; Zhiqiang Ge (IEEE Trans. Control. Syst. Technol., 2022)

Input Factor Selection Based on Interpretable Neural Network for Industrial Virtual Sensing Application. - Le Yao; Zeyu Yang; Zheng Zhang; Siyuan Tang; Bingbing Shen; Jiusun Zeng (IEEE Trans. Instrum. Meas., 2023)

Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation. - Yi Liu 037; Jiusun Zeng; Lei Xie 007; Bingbing Jiang 001; Dongping Zhang (IEEE Trans. Ind. Informatics, 2023)

Energy-based Model for Accurate Shapley Value Estimation in Interpretable Deep Learning Predictive Modeling. - Cheng Lu; Jiusun Zeng; Yu Xia; Jinhui Cai; Shihua Luo (CoRR, 2024)

Structured collaborative sparse dictionary learning for monitoring of multimode processes. - Yi Liu 037; Jiusun Zeng; Bingbing Jiang 001; Weiguo Sheng 001; Zidong Wang 001; Lei Xie 007; Li Li 037 (Inf. Sci., 2024)

Adherent Peanut Image Segmentation Based on Multi-Modal Fusion. - Yujing Wang; Fang Ye; Jiusun Zeng; Jinhui Cai; Wangsen Huang (Sensors, 2024)

Robust Stacked Probabilistic Latent Variable Model for Fault Isolation of Dynamic Process With Outliers. - Jiusun Zeng; Cheng Lu; Le Yao; Yi Liu 037; Shihua Luo; Fei Wang; Chuanhou Gao (IEEE Trans Autom. Sci. Eng., 2024)

A Novel Multiscale Gated Structure Model for Soft Sensing of Nonstationary Process With Randomly Missing Data. - Yun Wang; Zhangjie Guan; Yuchen He; Lijuan Qian; Jiusun Zeng; Jun Wang; Lingjian Ye (IEEE Trans. Ind. Informatics, 2025)