Junhua Zheng

Orcid: 0000-0002-8419-4572

According to our database1, Junhua Zheng authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Reliable Soft Sensors With an Inherent Process Graph Constraint.
IEEE Trans. Ind. Informatics, June, 2024

Deep Residual Principal Component Analysis as Feature Engineering for Industrial Data Analytics.
IEEE Trans. Instrum. Meas., 2024

A Systematic Monitoring Framework Utilizing Dynamic Bayesian Network in Plant-Wide Processes.
IEEE Trans. Instrum. Meas., 2024

Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development.
Expert Syst. Appl., 2024

Additive dynamic Bayesian networks for enhanced feature learning in soft sensor modeling.
Eng. Appl. Artif. Intell., 2024

2023
Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application.
IEEE Trans. Ind. Informatics, April, 2023

Lifelong Bayesian Learning Machines for Streaming Industrial Big Data.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023

Semi-Supervised Process Data Regression and Application Based on Latent Factor Analysis Model.
IEEE Trans. Instrum. Meas., 2023

Dynamic Bayesian Networks for Feature Learning and Transfer Applications in Remaining Useful Life Estimation.
IEEE Trans. Instrum. Meas., 2023

Ensemble Data Augmentation for Imbalanced Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023

2022
A novel convolution kernel-based robust watermarking scheme applied in medical image.
Int. J. Wirel. Mob. Comput., 2022

Dynamic ensemble selection based improved random forests for fault classification in industrial processes.
IFAC J. Syst. Control., 2022

Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning.
CoRR, 2022

2020
Dynamic Bayesian network for robust latent variable modeling and fault classification.
Eng. Appl. Artif. Intell., 2020

Predictive Modeling for Epidemic Outbreaks: A New Approach and COVID-19 Case Study.
Asia Pac. J. Oper. Res., 2020


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