Hongbo Shi

Orcid: 0000-0001-9400-1415

Affiliations:
  • East China University of Science and Technology, Shanghai, China


According to our database1, Hongbo Shi authored at least 69 papers between 2010 and 2025.

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

Timeline

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Bibliography

2025
A Soft Sensor for Multirate Quality Variables Based on MC-CNN.
IEEE Trans. Neural Networks Learn. Syst., August, 2025

A Novel Adaptive Mechanism-Data Fusion Graph Embedding Network for Fault Diagnosis.
IEEE Trans. Ind. Informatics, August, 2025

Hierarchical Weighted LSTM with One-class Classifier for Preventive Protection of Cultural Heritage in Museums.
ACM Journal on Computing and Cultural Heritage, March, 2025

Fault Diagnosis of Unseen Modes in Chemical Process via Fusing Invariance and Specificity.
IEEE Trans. Instrum. Meas., 2025

Fault-Influenced Variable Selection and Distributional Offset Evaluation of CVDs Graph Convolutional Neural Network for Nonlinear KPI-Related Process Monitoring.
IEEE Trans. Instrum. Meas., 2025

Plant-Wide Distributed Adaptive Probability Density Analysis Method for Incipient Fault Detection.
IEEE Trans. Instrum. Meas., 2025

Multitier Dynamic Dual Kullback-Leibler Divergence Based on Manifold and Sensitive Features for Incipient Fault Detection.
IEEE Trans. Instrum. Meas., 2025

2024
A Fault-Targeted Gated Recurrent Unit-Canonical Correlation Analysis Method for Incipient Fault Detection.
IEEE Trans. Ind. Informatics, June, 2024

Temporal Attention Source-Free Adaptation for Chemical Processes Fault Diagnosis.
IEEE Trans. Ind. Informatics, March, 2024

Few-shot object detection via message transfer mechanism.
J. Electronic Imaging, 2024

Few-shot object detection based on self-supervised feature pyramid network.
J. Electronic Imaging, 2024

Relevance variable selection variational auto-encoder network for quality-related nonlinear process monitoring.
Appl. Soft Comput., 2024

2023
Plant-Wide Process Fine-Scale Monitoring via Distributed Static Magnitude-Dynamic Difference.
IEEE Trans. Ind. Informatics, November, 2023

A dynamic semantic knowledge graph for zero-shot object detection.
Vis. Comput., October, 2023

A Distributed Adaptive Monitoring Method for Performance Indicator in Large-Scale Dynamic Process.
IEEE Trans. Ind. Informatics, October, 2023

A flow-guided self-calibration Siamese network for visual tracking.
Vis. Comput., February, 2023

Fault Diagnosis of Unseen Modes in Chemical Processes Based on Labeling and Class Progressive Adversarial Learning.
IEEE Trans. Instrum. Meas., 2023

A Novel Multiview Predictive Local Adversarial Network for Partial Transfer Learning in Cross-Domain Fault Diagnostics.
IEEE Trans. Instrum. Meas., 2023

Semi-Supervised Relevance Variable Selection and Hierarchical Feature Regularization Variational Autoencoder for Nonlinear Quality-Related Process Monitoring.
IEEE Trans. Instrum. Meas., 2023

Sensor Fault Detection and Diagnosis Using Graph Convolutional Network Combining Process Knowledge and Process Data.
IEEE Trans. Instrum. Meas., 2023

Adaptive adjustment with semantic embedding for zero-shot object detection.
J. Electronic Imaging, 2023

2022
Weighted Conditional Discriminant Analysis for Unseen Operating Modes Fault Diagnosis in Chemical Processes.
IEEE Trans. Instrum. Meas., 2022

Consistency Regularization Auto-Encoder Network for Semi-Supervised Process Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Convolutional Neural Network Based Feature Learning for Large-Scale Quality-Related Process Monitoring.
IEEE Trans. Ind. Informatics, 2022

Hierarchical Latent Variable Extraction and Multisegment Probability Density Analysis Method for Incipient Fault Detection.
IEEE Trans. Ind. Informatics, 2022

Multi-Module Decision Fusion in Operational Status Monitoring.
IEEE Trans. Control. Syst. Technol., 2022

SiamDA: distribution-aware Siamese network for visual tracking.
J. Electronic Imaging, 2022

Privacy Preservation by Local Design in Cooperative Networked Control Systems.
CoRR, 2022

2021
A Supervised Adaptive Resampling Monitoring Method for Quality Indicator in Time-Varying Process.
IEEE Trans. Instrum. Meas., 2021

Multisubspace Orthogonal Canonical Correlation Analysis for Quality-Related Plant-Wide Process Monitoring.
IEEE Trans. Ind. Informatics, 2021

A status-relevant blocks fusion approach for operational status monitoring.
Eng. Appl. Artif. Intell., 2021

Improved Ensemble Feature Selection Based on DT for KPI Prediction.
IEEE Access, 2021

2020
Multisubspace Elastic Network for Multimode Quality-Related Process Monitoring.
IEEE Trans. Ind. Informatics, 2020

A Novel Dynamic Weight Principal Component Analysis Method and Hierarchical Monitoring Strategy for Process Fault Detection and Diagnosis.
IEEE Trans. Ind. Electron., 2020

2019
Performance-Indicator-Oriented Concurrent Subspace Process Monitoring Method.
IEEE Trans. Ind. Electron., 2019

Communication-saving design by stochastic event triggers.
J. Frankl. Inst., 2019

Parallel supervised additive and multiplicative faults detection for nonlinear process.
J. Frankl. Inst., 2019

Semi-global containment control of discrete-time linear systems with actuator position and rate saturation.
Neurocomputing, 2019

Quality Weakly Related Fault Detection Based on Weighted Dual-Step Feature Extraction.
IEEE Access, 2019

Process Monitoring via Key Principal Components and Local Information Based Weights.
IEEE Access, 2019

Quality-Related Fault Detection Based on Improved Independent Component Regression for Non-Gaussian Processes.
IEEE Access, 2019

2018
Multi-Sensor Kalman Filtering With Intermittent Measurements.
IEEE Trans. Autom. Control., 2018

Corrections to "Multi-Sensor Kalman Filtering With Intermittent Measurements".
IEEE Trans. Autom. Control., 2018

2017
Sensor scheduling for lifetime maximization in centralized state estimation.
Neurocomputing, 2017

Stochastic link activation for distributed filtering under sensor power constraint.
Autom., 2017

Optimal eavesdropping problem in privacy preserving consensus.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Stochastic sensor scheduling for centralized state estimation.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Network-based predictive control strategy for spatially distributed system based with quantization.
Proceedings of the 11th Asian Control Conference, 2017

2016
H<sub>∞</sub> filtering for nonlinear networked systems with randomly occurring distributed delays, missing measurements and sensor saturation.
Inf. Sci., 2016

Hybrid neural network predictor for distributed parameter system based on nonlinear dimension reduction.
Neurocomputing, 2016

An Adaptive Model Predictive Control Strategy for Nonlinear Distributed Parameter Systems using the Type-2 Takagi-Sugeno Model.
Int. J. Fuzzy Syst., 2016

Nodes selection strategy in cooperative tracking problem.
Autom., 2016

2015
Deterministic Sensor Selection for Centralized State Estimation Under Limited Communication Resource.
IEEE Trans. Signal Process., 2015

<i>L</i><sub>2</sub> control design of event-triggered networked control systems with quantizations.
J. Frankl. Inst., 2015

Event-triggered H<sub>∞</sub> control for uncertain networked T-S fuzzy systems with time delay.
Neurocomputing, 2015

Fault detection for networked systems with random packet losses, sensor saturation and multiplicative noises.
Proceedings of the IEEE International Conference on Information and Automation, 2015

Majorization theory in sensor scheduling.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Sensor scheduling for distributed filtering under limited communication resources.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Decentralized event-triggered consensus control for second-order multi-agent systems.
Neurocomputing, 2014

Event-triggered H∞ control for networked T-S fuzzy systems with time delay.
Proceedings of the IEEE International Conference on Information and Automation, 2014

2013
Fast consensus seeking in multi-agent systems with time delay.
Syst. Control. Lett., 2013

2012
Sensor selection schemes for consensus based distributed estimation over energy constrained wireless sensor networks.
Neurocomputing, 2012

A group search optimization based on improved small world and its application on neural network training in ammonia synthesis.
Neurocomputing, 2012

H∞ filtering for networked control systems with quantization and multiple packet dropouts.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

Optimal selection strategy for multi-agent system with single leader.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Optimal consensus-based distributed estimation with intermittent communication.
Int. J. Syst. Sci., 2011

Robust H<sub>∞</sub> Filtering for Uncertain Nonlinear Stochastic Systems with Mode-dependent Time-delays and Markovian Jump Parameters.
Circuits Syst. Signal Process., 2011

Optimal second order consensus protocol with time delay.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Robust H∞ exponential filtering for uncertain stochastic time-delay systems with Markovian switching and nonlinearities.
Appl. Math. Comput., 2010


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