Junhua Zheng

According to our database, Junhua Zheng authored at least 25 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., May, 2025

Collaborative Deep Learning and Information Fusion of Heterogeneous Latent Variable Models for Industrial Quality Prediction.

Junhua Zheng, Zhiqiang Ge

IEEE Trans. Cybern., April, 2025

Deep Latent Variable Predictive Modeling With Online Bayesian Soft Attention Mechanism.

Junhua Zheng, Lingjian Ye, Zhiqiang Ge

IEEE Trans. Ind. Informatics, January, 2025

Multi-Rate Data Distillation for Deep Process Monitoring.

Junhua Zheng, Le Zhou, Yuting Lyu, Zeyu Yang, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 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

Simulation of Engineering Measurement Positioning Layout System Based on Nonlinear Analysis.

Weiqing Sun, Junhua Zheng, Haihua Yang

Informatica (Slovenia), 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

Privacy distillation: Collaborative privacy protection for Transformer.

Letian Wei, Zhiman Zhang, Junhua Zheng

Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security, 2025

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, December, 2024

Reliable Soft Sensors With an Inherent Process Graph Constraint.

Ruikun Zhai, Junhua Zheng, Zhihuan Song, Zhiqiang Ge

IEEE Trans. Ind. Informatics, June, 2024

Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics.

Junhua Zheng, Zeyu Yang, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2024

A Systematic Monitoring Framework Utilizing Dynamic Bayesian Network in Plant-Wide Processes.

Guangjie Chen, Le Zhou, Junhua Zheng, Yi Liu, Zhihuan Song

IEEE Trans. Instrum. Meas., 2024

Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development.

Junhua Zheng, Lingjian Ye, Zhiqiang Ge

Expert Syst. Appl., 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

A Logarithmic-Size Certificateless Traceable Ring Signature Based on SM2-DualRing and its Application in Data Sharing.

Shumei Liu, Anjia Yang, Junhua Zheng

Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

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, April, 2023

Lifelong Bayesian Learning Machines for Streaming Industrial Big Data.

Zeyu Yang, Junhua Zheng, Zhiqiang Ge

IEEE Trans. Syst. Man Cybern. Syst., March, 2023

Semi-Supervised Process Data Regression and Application Based on Latent Factor Analysis Model.

Junhua Zheng, Yangxuan Liu, Yi Liu, Beiping Hou, Yuan Yao, Le Zhou

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

Ensemble Data Augmentation for Imbalanced Fault Diagnosis.

Xiaoyu Jiang, Junhua Zheng, Xinzhen Zhuang, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2023

2022

A novel convolution kernel-based robust watermarking scheme applied in medical image.

Junhua Zheng, Jingbing Li, Jing Liu, Mengxing Huang, Yen-Wei Chen, Uzair Aslam Bhatti

Int. J. Wirel. Mob. Comput., 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

Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning.

Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han

CoRR, 2022

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

Predictive Modeling for Epidemic Outbreaks: A New Approach and COVID-19 Case Study.

Jian Chen, Michael C. Fu, Wenhong Zhang, Junhua Zheng

Asia Pac. J. Oper. Res., 2020