Jiusun Zeng

Orcid: 0000-0002-9207-4415

According to our database1, Jiusun Zeng authored at least 20 papers between 2007 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Robust Stacked Probabilistic Latent Variable Model for Fault Isolation of Dynamic Process With Outliers.
IEEE Trans Autom. Sci. Eng., October, 2024

Adherent Peanut Image Segmentation Based on Multi-Modal Fusion.
Sensors, July, 2024

Structured collaborative sparse dictionary learning for monitoring of multimode processes.
Inf. Sci., 2024

Energy-based Model for Accurate Shapley Value Estimation in Interpretable Deep Learning Predictive Modeling.
CoRR, 2024

2023
Row-Column Overcomplete Structured Dictionary Learning for Enhanced Fault Detection and Isolation.
IEEE Trans. Ind. Informatics, May, 2023

Input Factor Selection Based on Interpretable Neural Network for Industrial Virtual Sensing Application.
IEEE Trans. Instrum. Meas., 2023

2022
Structured Principal Component Analysis Model With Variable Correlation Constraint.
IEEE Trans. Control. Syst. Technol., 2022

2021
A Bayesian belief-rule-based inference multivariate alarm system for nonlinear time-varying processes.
Sci. China Inf. Sci., 2021

Structured Dictionary Learning for Fault Detection and Isolation.
Proceedings of the CAA Symposium on Fault Detection, 2021

2020
A Unified Probabilistic Monitoring Framework for Multimode Processes Based on Probabilistic Linear Discriminant Analysis.
IEEE Trans. Ind. Informatics, 2020

2019
Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation.
IEEE Trans. Ind. Informatics, 2019

Double Layer Distributed Process Monitoring Based on Hierarchical Multi-Block Decomposition.
IEEE Access, 2019

Mixture Probabilistic Linear Discriminant Analyzer for Process Fault Classification.
Proceedings of the CAA Symposium on Fault Detection, 2019

2014
Novel Just-In-Time Learning-Based Soft Sensor Utilizing Non-Gaussian Information.
IEEE Trans. Control. Syst. Technol., 2014

Detecting abnormal situations using the Kullback-Leibler divergence.
Autom., 2014

2013
Process monitoring based on Kullback Leibler divergence.
Proceedings of the 12th European Control Conference, 2013

2011
Soft sensor development using non-Gaussian Just-In-Time modeling.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Data-driven predictive control for blast furnace ironmaking process.
Comput. Chem. Eng., 2010

2008
Subspace method for identification and control of blast furnace ironmaking process.
Proceedings of the American Control Conference, 2008

2007
BF Hot Metal Silicon Content Prediction Using Unsupervised Fuzzy Clustering.
Proceedings of the Fuzzy Information and Engineering, 2007


  Loading...