Zhihuan Song

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 87

Top Venues

IEEE Trans. Ind. Informatics

IEEE Trans. Ind. Electron.

IEEE Trans Autom. Sci. Eng.

IEEE Trans. Control. Syst. Technol.

Publications

Bocun He, Xinmin Zhang, Zhihuan Song
Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Jinchuan Qian, Chihang Wei, Zhihuan Song
A Novel Sequence Discriminative Feature Extraction Network and Its Application in Offline Industrial Fault Pattern Clustering. IEEE Trans. Ind. Informatics 20 (2) (2024)
Jiyu Chen, Jinchuan Qian, Xinmin Zhang, Zhihuan Song
Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data. CoRR (2024)
Yimeng He, Le Yao, Xinmin Zhang, Xiangyin Kong, Zhihuan Song
Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing. CoRR (2024)
Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Eric H. Wang
Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow. CoRR (2024)
Zhichao Chen, Zhihuan Song, Zhiqiang Ge
Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Zhenqin Yin, Xinmin Zhang, Zhihuan Song, Zhiqiang Ge
Adversarial Learning From Imbalanced Data: A Robust Industrial Fault Classification Method. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Yibo Huang, Zhihuan Song, Wei Yu
Stability analysis of discrete-time systems with arbitrary delay kernels based on kernel-related summation inequality and model transformation. Appl. Math. Comput. 476 (2024)
Xinmin Zhang, Bocun He, Hongyu Zhu, Zhihuan Song
Information Complementary Fusion Stacked Autoencoders for Soft Sensor Applications in Multimode Industrial Processes. IEEE Trans. Ind. Informatics 20 (1) (2024)
Ruikun Zhai, Junhua Zheng, Zhihuan Song, Zhiqiang Ge
Reliable Soft Sensors With an Inherent Process Graph Constraint. IEEE Trans. Ind. Informatics 20 (6) (2024)
Yuting Lyu, Le Zhou, Ya Cong, Hongbo Zheng, Zhihuan Song
Multirate Mixture Probability Principal Component Analysis for Process Monitoring in Multimode Processes. IEEE Trans Autom. Sci. Eng. 21 (2) (2024)
Yuhan Xie, Bocun He, Xinmin Zhang, Zhihuan Song
A Decomposition-based Encoder-Decoder Framework for Multi-step Prediction of Burn-Through Point in Sintering Process. ICPS (2023)
Jiyu Chen, Jinchuan Qian, Xinmin Zhang, Zhihuan Song, Chenying Wen, Xueer Fan
GPBP: Pipeline Extraction of Entities and Relations for Construction of Urban Utility Tunnel Knowledge Graph. SAFEPROCESS (2023)
Zhenqin Yin, Xiaoyu Jiang, Jinchuan Qian, Xinmin Zhang, Zhihuan Song, Qinyuan Ren
Balanced Adversarial Robust Learning for Industrial Fault Classification with Imbalanced Data. IECON (2023)
Weibin Jia, Wenjie Zhao, Zhihuan Song, Zhengguo Li
Object servoing of differential-drive service robots using switched control. J. Control. Decis. 10 (3) (2023)
Yueyang Luo, Xinmin Zhang, Manabu Kano, Long Deng, Chunjie Yang, Zhihuan Song
Data-driven soft sensors in blast furnace ironmaking: a survey. Frontiers Inf. Technol. Electron. Eng. 24 (3) (2023)
Zeyu Song, Xiaoyu Jiang, Wei Yu, Jinchuan Qian, Zhihuan Song
Data Augmentation Based on Active Virtual Sample Selection for Bearing Fault Diagnosis. SAFEPROCESS (2023)
Xuanhong Ye, Xinmin Zhang, Bocun He, Zheren Zhu, Wei Yu, Zhihuan Song
Rolling bearing fault diagnosis with variable load and few samples based on multifeature fusion meta-learning. SAFEPROCESS (2023)
Yimeng He, Le Yao, Zhiqiang Ge, Zhihuan Song
Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes. IEEE Trans. Instrum. Meas. 72 (2023)
Xinmin Zhang, Hongyi Zhang, Zhihuan Song
Feature-Aligned Stacked Autoencoder: A Novel Semisupervised Deep Learning Model for Pattern Classification of Industrial Faults. IEEE Trans. Artif. Intell. 4 (4) (2023)
Chihang Wei, Zhihuan Song
Real-Time Forecasting of Subsurface Inclusion Defects for Continuous Casting Slabs: A Data-Driven Comparative Study. Sensors 23 (12) (2023)
Xinmin Zhang, Saite Fan, Zhihuan Song
Reinforcement learning-based cost-sensitive classifier for imbalanced fault classification. Sci. China Inf. Sci. 66 (11) (2023)
Zheren Zhu, Pengfei Huang, Xinmin Zhang, Yi Chai, Zhihuan Song
First attempt of barrier functions for Caputo's fractional-order nonlinear dynamical systems. Sci. China Inf. Sci. 66 (7) (2023)
Yue Zhuo, Jinchuan Qian, Zhihuan Song, Zhiqiang Ge
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification. CoRR (2023)
Chihang Wei, Liyun Zuo, Xinmin Zhang, Zhihuan Song
Hessian Semisupervised Scatter Regularized Classification Model With Geometric and Discriminative Information for Nonlinear Process. IEEE Trans. Cybern. 52 (9) (2022)
Chenglin Wen, Tingting Huai, Qinghua Zhang, Zhihuan Song, Feilong Cao
A new rotation forest ensemble algorithm. Int. J. Mach. Learn. Cybern. 13 (11) (2022)
Kai Wang, Junghui Chen, Zhihuan Song, Yalin Wang, Chunhua Yang
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Weibin Jia, Zhihuan Song, Zhengguo Li
Multi-Scale Exposure Fusion via Content Adaptive Edge-Preserving Smoothing Pyramids. IEEE Trans. Consumer Electron. 68 (4) (2022)
Saite Fan, Xinmin Zhang, Zhihuan Song
Imbalanced Sample Selection With Deep Reinforcement Learning for Fault Diagnosis. IEEE Trans. Ind. Informatics 18 (4) (2022)
Weibin Jia, Zhihuan Song, Zhengguo Li
Multi-scale Fusion of Stretched Infrared and Visible Images. Sensors 22 (17) (2022)
Zheren Zhu, Nan Liu, Xinmin Zhang, Zhihuan Song, Yi Chai
A Novel Attempt of Barrier Function to the Safety of Caputo's fractional-order systems. CoDIT (2022)
Lei Zhang, Zhihuan Song, Qinghua Zhang, Zhiping Peng
Generalized transformer in fault diagnosis of Tennessee Eastman process. Neural Comput. Appl. 34 (11) (2022)
Saite Fan, Xinmin Zhang, Zhihuan Song, Weiming Shao
Cumulative dual-branch network framework for long-tailed multi-class classification. Eng. Appl. Artif. Intell. 114 (2022)
Zhiqiang Ge, Zhihuan Song, Xin Li, Lei Zhang
Meta conditional variational auto-encoder for domain generalization. Comput. Vis. Image Underst. 222 (2022)
Xinmin Zhang, Jingbo Wang, Chihang Wei, Zhihuan Song
Identification of important factors influencing nonlinear counting systems. Frontiers Inf. Technol. Electron. Eng. 23 (1) (2022)
Jiaxin Yu, Lingjian Ye, Le Zhou, Zeyu Yang, Feifan Shen, Zhihuan Song
Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis. IEEE Trans. Syst. Man Cybern. Syst. 52 (4) (2022)
Donglei Zheng, Le Zhou, Zhihuan Song
Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process. IEEE CAA J. Autom. Sinica 8 (8) (2021)
Zheren Zhu, Yi Chai, Zhihuan Song, Pengfei Huang
A New Safety Criterion for Dynamics Systems by Barrier Function based on Forward Invariant Set. CAA SAFEPROCESS (2021)
Weiming Shao, Zhiqiang Ge, Zhihuan Song
Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor. IEEE Trans. Cybern. 51 (7) (2021)
Weibin Jia, Wenjie Zhao, Zhihuan Song, Zhengguo Li
Object Servoing of Differential-Drive Robots. CoRR (2021)
Jingbo Wang, Weiming Shao, Xinmin Zhang, Zhihuan Song
Dynamic Variational Bayesian Student's T Mixture Regression With Hidden Variables Propagation for Industrial Inferential Sensor Development. IEEE Trans. Ind. Informatics 17 (8) (2021)
Chihang Wei, Weiming Shao, Zhihuan Song
Virtual Sensor Development for Multioutput Nonlinear Processes Based on Bilinear Neighborhood Preserving Regression Model With Localized Construction. IEEE Trans. Ind. Informatics 17 (4) (2021)
Saite Fan, Xinmin Zhang, Zhihuan Song
Reinforced knowledge distillation: Multi-class imbalanced classifier based on policy gradient reinforcement learning. Neurocomputing 463 (2021)
Weiming Shao, Zhiqiang Ge, Zhihuan Song
Bayesian Just-in-Time Learning and Its Application to Industrial Soft Sensing. IEEE Trans. Ind. Informatics 16 (4) (2020)
Kai Wang, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction. IEEE Trans. Ind. Informatics 16 (12) (2020)
Junhua Zheng, Jinlin Zhu, Guangjie Chen, Zhihuan Song, Zhiqiang Ge
Dynamic Bayesian network for robust latent variable modeling and fault classification. Eng. Appl. Artif. Intell. 89 (2020)
Jinchuan Qian, Li Jiang, Zhihuan Song
Locally linear back-propagation based contribution for nonlinear process fault diagnosis. IEEE CAA J. Autom. Sinica 7 (3) (2020)
Chihang Wei, Zhihuan Song
Generalized Semisupervised Self-Optimizing Kernel Model for Quality-Related Industrial Process Monitoring. IEEE Trans. Ind. Electron. 67 (12) (2020)
Weiming Shao, Zhiqiang Ge, Zhihuan Song, Jingbo Wang
Semisupervised Robust Modeling of Multimode Industrial Processes for Quality Variable Prediction Based on Student's t Mixture Model. IEEE Trans. Ind. Informatics 16 (5) (2020)
Weiming Shao, Zhiqiang Ge, Le Yao, Zhihuan Song
Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes. IEEE Trans Autom. Sci. Eng. 17 (2) (2020)
Le Zhou, Yaoxin Wang, Zhiqiang Ge, Zhihuan Song
Multirate Factor Analysis Models for Fault Detection in Multirate Processes. IEEE Trans. Ind. Informatics 15 (7) (2019)
Weiming Shao, Zhiqiang Ge, Zhihuan Song
Soft-Sensor Development for Processes With Multiple Operating Modes Based on Semisupervised Gaussian Mixture Regression. IEEE Trans. Control. Syst. Technol. 27 (5) (2019)
Jinchuan Qian, Li Jiang, Zhihuan Song, Zhiqiang Ge
Back-propagation Based Contribution for nonlinear fault diagnosis. CAA SAFEPROCESS (2019)
Weiming Shao, Zhiqiang Ge, Zhihuan Song, Li Zhao
Nonlinear Inferential Sensor Development Based on GMM-ELM. ASCC (2019)
Jingbo Wang, Weiming Shao, Zhihuan Song
mixture regression. Neurocomputing 369 (2019)
Kai Wang, Michael G. Forbes, R. Bhushan Gopaluni, Junghui Chen, Zhihuan Song
Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes. IEEE Access 7 (2019)
Weiming Shao, Le Yao, Zhiqiang Ge, Zhihuan Song
Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data. IEEE Trans. Ind. Electron. 66 (8) (2019)
Kai Wang, Junghui Chen, Zhihuan Song
Fault Detection Based on Variational Autoencoders for Complex Nonlinear Processes. ASCC (2019)
Ya Cong, Le Zhou, Zhihuan Song, Zhiqiang Ge
Multirate Dynamic Process Monitoring Based on Multirate Linear Gaussian State-Space Model. IEEE Trans Autom. Sci. Eng. 16 (4) (2019)
Weiming Shao, Hongwei Zhang, Zhihuan Song
Robust Supervised Probabilistic Factor Analysis and Its Application to Industrial Soft Sensor Modeling. IEEE Access 7 (2019)
Kai Wang, Junghui Chen, Zhihuan Song
Concurrent Fault Detection and Anomaly Location in Closed-Loop Dynamic Systems With Measured Disturbances. IEEE Trans Autom. Sci. Eng. 16 (3) (2019)
Jingbo Wang, Weiming Shao, Zhihuan Song
Robust Soft Sensing for Multi-mode Processes Based on Bayesian Regularized Student's-t Mixture Regression. ASCC (2019)
Saite Fan, Feifan Shen, Zhihuan Song
Multiphase and Multimode Monitoring of Batch Processes Based on Density Peak Clustering and Just-in-time Learning. CAA SAFEPROCESS (2019)
Chihang Wei, Junghui Chen, Zhihuan Song, Chun-I Chen
Development of Self-Learning Kernel Regression Models for Virtual Sensors on Nonlinear Processes. IEEE Trans Autom. Sci. Eng. 16 (1) (2019)
Xiaogang Deng, Peipei Cai, Jiawei Deng, Yuping Cao, Zhihuan Song
Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes. IEEE Access 7 (2019)
Le Zhou, Zhiqiang Ge, Zhihuan Song, Si-Zhao Joe Qin
Dynamic Processes Modeling and Monitoring based on a Novel Dynamic Latent Variable Model. CAA SAFEPROCESS (2019)
Kai Wang, Junghui Chen, Zhihuan Song
Performance Analysis of Dynamic PCA for Closed-Loop Process Monitoring and Its Improvement by Output Oversampling Scheme. IEEE Trans. Control. Syst. Technol. 27 (1) (2019)
Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Zhiqiang Ge, Zhihuan Song, Weihua Gui
Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes. IEEE Trans. Ind. Electron. 65 (2) (2018)
Le Zhou, Jiaqi Zheng, Zhiqiang Ge, Zhihuan Song, Shengdao Shan
Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model. IEEE Trans. Ind. Electron. 65 (10) (2018)
Kai Wang, Junghui Chen, Zhihuan Song
Fault diagnosis for processes with feedback control loops by shifted output sampling approach. J. Frankl. Inst. 355 (7) (2018)
Jingbo Wang, Weiming Shao, Zhihuan Song
Mixture Regression-Based Robust Soft Sensor Development for Multimode Industrial Processes. Sensors 18 (11) (2018)
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song, Furong Gao
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data. Annu. Rev. Control. 46 (2018)
Kai Wang, Junghui Chen, Zhihuan Song
A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method. J. Frankl. Inst. 355 (14) (2018)
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song
Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes. IFAC J. Syst. Control. 6 (2018)
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song
Variational Bayesian Gaussian Mixture Regression for Soft Sensing Key Variables in Non-Gaussian Industrial Processes. IEEE Trans. Control. Syst. Technol. 25 (3) (2017)
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song
Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis. IEEE Trans Autom. Sci. Eng. 14 (2) (2017)
Zhiqiang Ge, Zhihuan Song, Steven X. Ding, Biao Huang
Data Mining and Analytics in the Process Industry: The Role of Machine Learning. IEEE Access 5 (2017)
Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song
A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data. IEEE Trans. Control. Syst. Technol. 25 (3) (2017)
Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song
Retrofit Self-Optimizing Control: A Step Forward Toward Real Implementation. IEEE Trans. Ind. Electron. 64 (6) (2017)
Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song, Yalin Wang
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR. IEEE Trans. Ind. Informatics 13 (2) (2017)
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song
Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data. IEEE Trans. Ind. Informatics 13 (4) (2017)
Xiaofeng Yuan, Zhiqiang Ge, Zhihuan Song, Yalin Wang, Chunhua Yang, Hongwei Zhang
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression. IEEE Trans. Instrum. Meas. 66 (4) (2017)
Chihang Wei, Junghui Chen, Zhihuan Song, Chun-I Chen
Soft sensors of nonlinear industrial processes based on self-learning kernel regression model. ASCC (2017)
Le Zhou, Gang Li, Zhihuan Song, Si-Zhao Joe Qin
Autoregressive Dynamic Latent Variable Models for Process Monitoring. IEEE Trans. Control. Syst. Technol. 25 (1) (2017)
Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song
Retrofit self-optimizing control of Tennessee Eastman process. ICIT (2016)
Jinlin Zhu, Zhiqiang Ge, Zhihuan Song
HMM-Driven Robust Probabilistic Principal Component Analyzer for Dynamic Process Fault Classification. IEEE Trans. Ind. Electron. 62 (6) (2015)
Hongwei Guan, Lingjian Ye, Xiushui Ma, Zhihuan Song
Impact analysis of sampling numbers on the method of snapshots. J. Comput. Methods Sci. Eng. 15 (2) (2015)
Feng Yin, Hong Wang, Lei Xie, Ping Wu, Zhihuan Song
Data driven model mismatch detection based on statistical band of Markov parameters. Comput. Electr. Eng. 40 (7) (2014)
Feifan Shen, Zhihuan Song, Zhiqiang Ge
JITL based local monitoring method for transitions of multiphase batch processes. ACC (2014)
Xuedong Wu, Zhihuan Song
Multi-step prediction of chaotic time-series with intermittent failures based on the generalized nonlinear filtering methods. Appl. Math. Comput. 219 (16) (2013)
Shu Lin, Chunjie Yang, Ping Wu, Zhihuan Song
Fuzzy logic surge control in variable speed axial compressors. ICCA (2013)
Xiaofeng Yuan, Hongwei Zhang, Zhihuan Song
A soft-sensor for estimating copper quality by image analysis technology. ICCA (2013)
Qiaojun Wen, Zhiqiang Ge, Zhihuan Song
Nonlinear dynamic process monitoring based on kernel partial least squares. ACC (2012)
De Gu, Zhihuan Song
Bottleneck Recognition by Virtual Temperature Field in Wireless Sensor Networks. Ad Hoc Sens. Wirel. Networks 15 (2-4) (2012)
Zhiqiang Ge, Zhihuan Song
Process structure change detection by eigenvalue-based method. Comput. Chem. Eng. 35 (2) (2011)
Zhiqiang Ge, Zhihuan Song
A distribution-free method for process monitoring. Expert Syst. Appl. 38 (8) (2011)
Ruowei Fu, Muguang Zhang, Zhihuan Song, Zhiqiang Ge
Global-local structure analysis for fault detection. CDC (2010)
Gang Li, Qi Xuan, Zhihuan Song, Xiaogang Jin
Complex Supply Networks Evolving Model: Complex Networks perspective. ISKE (2010)
Yong Zhang, Kun Chen, Matthew Baron, Merille A. Teylan, Yong Kim, Zhihuan Song, Paul Greengard, Stephen T. C. Wong
A neurocomputational method for fully automated 3D dendritic spine detection and segmentation of medium-sized spiny neurons. NeuroImage 50 (4) (2010)
Muguang Zhang, Zhiqiang Ge, Zhihuan Song
Probabilistic process monitoring with Bayesian regularization. ACC (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhihuan Song