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Xiaochu Tang

Observed names: Tang Xiaochu, X. C. Tang, Xiao-Chu TANG, Xiao-Chu Tang
Observed institutions: Shenyang Aerospace University, Shenzhen University, State Key Laboratory of Industrial Control Technology, Shenyang University of Chemical Technology, Zhejiang University, Renmin University of China, Northeastern University
ORCID: 0000-0002-8787-0978
Observed ORCID: 0000-0002-8787-0978
OpenAlex ID: A5101539797
An Attribution Feature-Based Memetic Algorithm for Hybrid Flowshop Scheduling Problem With Operation Skipping
2024 · Yang Yu, Quan-Ke Pan, et al. · IEEE Transactions on Automation Science and Engineering · 36
Phase division and process monitoring for multiphase batch processes with transitions
2015 · Xiaochu Tang, Yuan Li, et al. · Chemometrics and Intelligent Laboratory Systems · 25
Improved Performance of Fault Detection Based on Selection of the Optimal Number of Principal Components
2009 · Yuan LI, Xiao-Chu TANG · Acta Automatica Sinica · 21
Semi-Supervised Deep Conditional Variational Autoencoder for Soft Sensor Modeling
2024 · Xiaochu Tang, Jiawei Yan, et al. · IEEE Sensors Journal · 18
Supervised Multi-Layer Conditional Variational Auto-Encoder for Process Modeling and Soft Sensor
2023 · Xiaochu Tang, Jiawei Yan, et al. · Sensors · 8
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Final quality prediction for multi-phase batch process based on phase cumulative product quality model
2014 · Xiaochu Tang, Yuan Li, et al. · Transactions of the Institute of Measurement and Control · 8
Monitoring and Fault Diagnosis using Fisher Discrimnant Analysis
2007 · Xiao-Chu Tang, Yuan Li · International Conference on Machine Learning and Cybernetics · 8
Prediction of Aeroengine Remaining Useful Life Based on SE-BiLSTM
2022 · Jianguo Cui, Yujie Wang, et al. · Chinese Control and Decision Conference (CCDC) · 5
Phase division and transition modeling based on the dominant phase identification for multiphase batch process quality prediction
2019 · Xiaochu Tang, Yuan Li · Transactions of the Institute of Measurement and Control · 5
A Cluster Representative Selection Method for Stock Portfolio Based on Efficient Frontier
2021 · Yahui Lu, Minghao Li, et al. · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · 4
Deep Learning of Process Data with Supervised Variational Auto-encoder for Soft Sensor
2022 · Xiaochu Tang, Jiawei Yan, et al. · IEEE Data Driven Control and Learning Systems Conference (DDCLS) · 3
Online quality prediction based on the double cumulative model for multiphase batch processes with transitions
2021 · Xiaochu Tang, Yuan Li · Transactions of the Institute of Measurement and Control · 3
An Effective Stock Clustering Method Based on Hybrid Correlation Coefficient
2018 · Yahui Lu, Xiaochu Tang, et al. · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · 3
Data-driven fault diagnosis based on the integrated deep nonlinear dynamic system model
2024 · Xiaochu Tang, Na Tao, et al. · Chinese Control Conference (CCC) · 2
A new fault detection method for multi-mode dynamic process
2021 · Li Yuan, Zhang Haozhan, et al. · CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS) · 2
Between-Phase Nonlinear Correlation Analysis-Based Modeling and Online Monitoring for Multiphase Batch Process With Transitions
2019 · Xiaochu Tang, Yuan Li · IEEE Access · 2
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Augmented switching linear dynamic latent variable model based for multimode process fault diagnosis
2025 · Xiaochu Tang, Yi Zhang, et al. · Transactions of the Institute of Measurement and Control · 1
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Fault classification and detection using an improved statistical analysis method
2020 · X. C. Tang, H.Z. Zhang, et al. · International Conference on Industrial Artificial Intelligence (IAI) · 1
A New Global FeO Map of the Moon by Diviner Image
2015 · Xiaochu Tang, Ying Wu, et al. · LPI · 1
A study on the epidemic situation and coping mechanism of highly pathogenic avian influenza in China
2014 · Tang Xiaochu · Zhongguo Nongye Daxue xuebao · 1
Selection of the number of principal components based on fault signal-to-noise ratio
2008 · Xiaochu Tang, Yuan Li · World Congress on Intelligent Control and Automation · 1
Soft Sensor Based on Fusion Modeling with the Balanced Spatio-temporal Feature Network
2025 · Xiaochu Tang, Yiting Wang, et al. · Chinese Control Conference (CCC)
Nonlinear Dynamic System Based on SAE-LDS Model for Fault Diagnosis
2024 · Xiaochu Tang, Yi Zhang, et al. · IEEE Data Driven Control and Learning Systems Conference (DDCLS)
Fault Prediction Method of Gear Based on DSAE and GRU Network
2021 · Liying Jiang, Liqiang Qu, et al. · Chinese Control and Decision Conference (CCDC)
A New Cluster Validity Index for Stock Clustering Based on Efficient Frontier
2020 · Yahui Lu, Minghao Li, et al. · IEEE International Conference on Big Data Analytics (ICBDA)
Works count: 25
Citation count: 158
H-index: 7
I10-index: 4
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