Predictive Modeling for Epidemic Outbreaks: A New Approach and COVID-19 Case Study. - Jian Chen; Michael C. Fu 001; Wenhong Zhang; Junhua Zheng (Asia Pac. J. Oper. Res., 2020)

Dynamic Bayesian network for robust latent variable modeling and fault classification. - Junhua Zheng; Jinlin Zhu; Guangjie Chen; Zhihuan Song; Zhiqiang Ge (Eng. Appl. Artif. Intell., 2020)

Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. - Siteng Chen; Jinxi Xiang; Xiyue Wang; Jun Zhang 018; Sen Yang 006; Junzhou Huang; Wei Yang 032; Junhua Zheng; Xiao Han 011 (CoRR, 2022)

Dynamic ensemble selection based improved random forests for fault classification in industrial processes. - Junhua Zheng; Yue Liu; Zhiqiang Ge (IFAC J. Syst. Control., 2022)

A novel convolution kernel-based robust watermarking scheme applied in medical image. - Junhua Zheng; Jingbing Li; Jing Liu 041; Mengxing Huang; Yen-Wei Chen 001; Uzair Aslam Bhatti (Int. J. Wirel. Mob. Comput., 2022)

Ensemble Data Augmentation for Imbalanced Fault Diagnosis. - Xiaoyu Jiang; Junhua Zheng; Xinzhen Zhuang; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2023)

Dynamic Bayesian Networks for Feature Learning and Transfer Applications in Remaining Useful Life Estimation. - Lingquan Zeng; Junhua Zheng; Le Yao; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2023)

Semi-Supervised Process Data Regression and Application Based on Latent Factor Analysis Model. - Junhua Zheng; Yangxuan Liu; Yi Liu 024; Beiping Hou; Yuan Yao 002; Le Zhou (IEEE Trans. Instrum. Meas., 2023)

Lifelong Bayesian Learning Machines for Streaming Industrial Big Data. - Zeyu Yang; Junhua Zheng; Zhiqiang Ge (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application. - Le Yao; Bingbing Shen; Linlin Cui; Junhua Zheng; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2023)

A Logarithmic-Size Certificateless Traceable Ring Signature Based on SM2-DualRing and its Application in Data Sharing. - Shumei Liu; Anjia Yang; Junhua Zheng (MSN, 2024)

Additive dynamic Bayesian networks for enhanced feature learning in soft sensor modeling. - Junhua Zheng; Lingquan Zeng; Zeyu Yang; Zhiqiang Ge (Eng. Appl. Artif. Intell., 2024)

Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development. - Junhua Zheng; Lingjian Ye; Zhiqiang Ge (Expert Syst. Appl., 2024)

A Systematic Monitoring Framework Utilizing Dynamic Bayesian Network in Plant-Wide Processes. - Guangjie Chen; Le Zhou; Junhua Zheng; Yi Liu 024; Zhihuan Song (IEEE Trans. Instrum. Meas., 2024)

Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics. - Junhua Zheng; Zeyu Yang; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2024)

Reliable Soft Sensors With an Inherent Process Graph Constraint. - Ruikun Zhai; Junhua Zheng; Zhihuan Song; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2024)

Robust Adversarial Attacks on Imperfect Deep Neural Networks in Fault Classification. - Xiaoyu Jiang; Xiangyin Kong; Junhua Zheng; Zhiqiang Ge; Xinmin Zhang; Zhihuan Song (IEEE Trans. Ind. Informatics, 2024)

Privacy distillation: Collaborative privacy protection for Transformer. - Letian Wei; Zhiman Zhang; Junhua Zheng (GAIIS, 2025)

Advances in Bayesian networks for industrial process analytics: Bridging data and mechanisms. - Junhua Zheng; Yue Zhuo; Xiaoyu Jiang; Lingquan Zeng; Zhiqiang Ge (Expert Syst. Appl., 2025)

Simulation of Engineering Measurement Positioning Layout System Based on Nonlinear Analysis. - Weiqing Sun; Junhua Zheng; Haihua Yang (Informatica (Slovenia), 2025)

Leveraging Transfer Learning for Data Augmentation in Fault Diagnosis of Imbalanced Time-Frequency Images. - Xiaoyu Jiang; Junhua Zheng; Ziyi Chen; Zhiqiang Ge; Zhihuan Song; Xiaoguang Ma (IEEE Trans Autom. Sci. Eng., 2025)

Multi-Rate Data Distillation for Deep Process Monitoring. - Junhua Zheng; Le Zhou; Yuting Lyu; Zeyu Yang; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2025)

Deep Latent Variable Predictive Modeling With Online Bayesian Soft Attention Mechanism. - Junhua Zheng; Lingjian Ye; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2025)

Collaborative Deep Learning and Information Fusion of Heterogeneous Latent Variable Models for Industrial Quality Prediction. - Junhua Zheng; Zhiqiang Ge (IEEE Trans. Cybern., 2025)

Deep Co-Training Partial Least Squares Model for Semi-Supervised Industrial Soft Sensing. - Junhua Zheng; Le Zhou; Lingjian Ye; Zhiqiang Ge (IEEE Trans. Syst. Man Cybern. Syst., 2025)