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Zhihuan Song
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2020 – today
- 2024
- [j76]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: 128740 (2024) - [j75]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): 2027-2038 (2024) - [j74]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: 1870-1882 (2024) - [j73]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): 106-116 (2024) - [j72]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): 3025-3033 (2024) - [j71]Ruikun Zhai
, Junhua Zheng
, Zhihuan Song
, Zhiqiang Ge
:
Reliable Soft Sensors With an Inherent Process Graph Constraint. IEEE Trans. Ind. Informatics 20(6): 8798-8806 (2024) - [j70]Zhichao Chen
, Zhihuan Song
, Zhiqiang Ge
:
Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics. IEEE Trans. Knowl. Data Eng. 36(6): 2730-2744 (2024) - [j69]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): 2927-2941 (2024) - [i5]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 abs/2406.13664 (2024) - [i4]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 abs/2406.15762 (2024) - [i3]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 abs/2407.05954 (2024) - 2023
- [j68]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) - [j67]Xinmin Zhang, Saite Fan, Zhihuan Song:
Reinforcement learning-based cost-sensitive classifier for imbalanced fault classification. Sci. China Inf. Sci. 66(11) (2023) - [j66]Weibin Jia, Wenjie Zhao, Zhihuan Song, Zhengguo Li
:
Object servoing of differential-drive service robots using switched control. J. Control. Decis. 10(3): 314-325 (2023) - [j65]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): 327-354 (2023) - [j64]Chihang Wei, Zhihuan Song:
Real-Time Forecasting of Subsurface Inclusion Defects for Continuous Casting Slabs: A Data-Driven Comparative Study. Sensors 23(12): 5415 (2023) - [j63]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): 592-601 (2023) - [j62]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: 1-11 (2023) - [c30]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: 1-6 - [c29]Zeyu Song, Xiaoyu Jiang, Wei Yu, Jinchuan Qian, Zhihuan Song:
Data Augmentation Based on Active Virtual Sample Selection for Bearing Fault Diagnosis. SAFEPROCESS 2023: 1-6 - [c28]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: 1-6 - [c27]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: 1-6 - [c26]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: 1-6 - [i2]Yue Zhuo, Jinchuan Qian, Zhihuan Song, Zhiqiang Ge:
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification. CoRR abs/2311.05316 (2023) - 2022
- [j61]Zhiqiang Ge, Zhihuan Song, Xin Li, Lei Zhang:
Meta conditional variational auto-encoder for domain generalization. Comput. Vis. Image Underst. 222: 103503 (2022) - [j60]Saite Fan, Xinmin Zhang
, Zhihuan Song, Weiming Shao
:
Cumulative dual-branch network framework for long-tailed multi-class classification. Eng. Appl. Artif. Intell. 114: 105080 (2022) - [j59]Xinmin Zhang
, Jingbo Wang, Chihang Wei, Zhihuan Song:
Identification of important factors influencing nonlinear counting systems. Frontiers Inf. Technol. Electron. Eng. 23(1): 123-133 (2022) - [j58]Chenglin Wen, Tingting Huai, Qinghua Zhang, Zhihuan Song, Feilong Cao:
A new rotation forest ensemble algorithm. Int. J. Mach. Learn. Cybern. 13(11): 3569-3576 (2022) - [j57]Lei Zhang, Zhihuan Song, Qinghua Zhang, Zhiping Peng:
Generalized transformer in fault diagnosis of Tennessee Eastman process. Neural Comput. Appl. 34(11): 8575-8585 (2022) - [j56]Weibin Jia
, Zhihuan Song, Zhengguo Li:
Multi-scale Fusion of Stretched Infrared and Visible Images. Sensors 22(17): 6660 (2022) - [j55]Weibin Jia
, Zhihuan Song
, Zhengguo Li
:
Multi-Scale Exposure Fusion via Content Adaptive Edge-Preserving Smoothing Pyramids. IEEE Trans. Consumer Electron. 68(4): 317-326 (2022) - [j54]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): 8862-8875 (2022) - [j53]Saite Fan
, Xinmin Zhang
, Zhihuan Song
:
Imbalanced Sample Selection With Deep Reinforcement Learning for Fault Diagnosis. IEEE Trans. Ind. Informatics 18(4): 2518-2527 (2022) - [j52]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): 7682-7694 (2022) - [j51]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): 2412-2422 (2022) - [c25]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: 51-56 - 2021
- [j50]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): 1465-1476 (2021) - [j49]Saite Fan, Xinmin Zhang
, Zhihuan Song:
Reinforced knowledge distillation: Multi-class imbalanced classifier based on policy gradient reinforcement learning. Neurocomputing 463: 422-436 (2021) - [j48]Weiming Shao
, Zhiqiang Ge
, Zhihuan Song:
Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor. IEEE Trans. Cybern. 51(7): 3455-3468 (2021) - [j47]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): 2500-2510 (2021) - [j46]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): 5314-5324 (2021) - [c24]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: 1-6 - [i1]Weibin Jia, Wenjie Zhao, Zhihuan Song, Zhengguo Li:
Object Servoing of Differential-Drive Robots. CoRR abs/2111.05710 (2021) - 2020
- [j45]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: 103475 (2020) - [j44]Jinchuan Qian, Li Jiang, Zhihuan Song:
Locally linear back-propagation based contribution for nonlinear process fault diagnosis. IEEE CAA J. Autom. Sinica 7(3): 764-775 (2020) - [j43]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): 871-885 (2020) - [j42]Chihang Wei
, Zhihuan Song
:
Generalized Semisupervised Self-Optimizing Kernel Model for Quality-Related Industrial Process Monitoring. IEEE Trans. Ind. Electron. 67(12): 10876-10886 (2020) - [j41]Weiming Shao
, Zhiqiang Ge
, Zhihuan Song
:
Bayesian Just-in-Time Learning and Its Application to Industrial Soft Sensing. IEEE Trans. Ind. Informatics 16(4): 2787-2798 (2020) - [j40]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): 2965-2976 (2020) - [j39]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): 7233-7242 (2020)
2010 – 2019
- 2019
- [j38]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: 22554-22565 (2019) - [j37]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: 122192-122204 (2019) - [j36]Weiming Shao
, Hongwei Zhang
, Zhihuan Song
:
Robust Supervised Probabilistic Factor Analysis and Its Application to Industrial Soft Sensor Modeling. IEEE Access 7: 184038-184052 (2019) - [j35]Jingbo Wang, Weiming Shao, Zhihuan Song:
Robust inferential sensor development based on variational Bayesian Student's-t mixture regression. Neurocomputing 369: 11-28 (2019) - [j34]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): 286-297 (2019) - [j33]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): 1033-1045 (2019) - [j32]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): 1708-1719 (2019) - [j31]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): 378-385 (2019) - [j30]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): 2169-2181 (2019) - [j29]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): 6362-6373 (2019) - [j28]Le Zhou
, Yaoxin Wang
, Zhiqiang Ge
, Zhihuan Song
:
Multirate Factor Analysis Models for Fault Detection in Multirate Processes. IEEE Trans. Ind. Informatics 15(7): 4076-4085 (2019) - [c23]Weiming Shao, Zhiqiang Ge, Zhihuan Song, Li Zhao:
Nonlinear Inferential Sensor Development Based on GMM-ELM. ASCC 2019: 867-872 - [c22]Jingbo Wang, Weiming Shao, Zhihuan Song:
Robust Soft Sensing for Multi-mode Processes Based on Bayesian Regularized Student's-t Mixture Regression. ASCC 2019: 873-878 - [c21]Kai Wang, Junghui Chen, Zhihuan Song:
Fault Detection Based on Variational Autoencoders for Complex Nonlinear Processes. ASCC 2019: 1352-1357 - [c20]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: 263-268 - [c19]Jinchuan Qian, Li Jiang, Zhihuan Song, Zhiqiang Ge:
Back-propagation Based Contribution for nonlinear fault diagnosis. CAA SAFEPROCESS 2019: 315-320 - [c18]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: 589-595 - 2018
- [j27]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: 107-133 (2018) - [j26]Jinlin Zhu, Zhiqiang Ge, Zhihuan Song
:
Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes. IFAC J. Syst. Control. 6: 1-15 (2018) - [j25]Kai Wang, Junghui Chen
, Zhihuan Song:
Fault diagnosis for processes with feedback control loops by shifted output sampling approach. J. Frankl. Inst. 355(7): 3249-3273 (2018) - [j24]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): 6675-6692 (2018) - [j23]Jingbo Wang
, Weiming Shao
, Zhihuan Song:
Student's-t Mixture Regression-Based Robust Soft Sensor Development for Multimode Industrial Processes. Sensors 18(11): 3968 (2018) - [j22]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): 1508-1517 (2018) - [j21]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): 8184-8194 (2018) - 2017
- [j20]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: 20590-20616 (2017) - [j19]Jinlin Zhu, Zhiqiang Ge, Zhihuan Song:
Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis. IEEE Trans Autom. Sci. Eng. 14(2): 1309-1319 (2017) - [j18]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): 366-373 (2017) - [j17]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): 1092-1099 (2017) - [j16]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): 1124-1132 (2017) - [j15]Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song:
Retrofit Self-Optimizing Control: A Step Forward Toward Real Implementation. IEEE Trans. Ind. Electron. 64(6): 4662-4670 (2017) - [j14]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): 532-541 (2017) - [j13]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): 1877-1885 (2017) - [j12]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): 837-845 (2017) - [c17]Chihang Wei, Junghui Chen, Zhihuan Song, Chun-I Chen:
Soft sensors of nonlinear industrial processes based on self-learning kernel regression model. ASCC 2017: 1783-1788 - 2016
- [c16]Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song:
Retrofit self-optimizing control of Tennessee Eastman process. ICIT 2016: 866-871 - 2015
- [j11]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): 221-228 (2015) - [j10]Jinlin Zhu, Zhiqiang Ge, Zhihuan Song:
HMM-Driven Robust Probabilistic Principal Component Analyzer for Dynamic Process Fault Classification. IEEE Trans. Ind. Electron. 62(6): 3814-3821 (2015) - 2014
- [j9]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): 2178-2192 (2014) - [c15]Feifan Shen, Zhihuan Song, Zhiqiang Ge:
JITL based local monitoring method for transitions of multiphase batch processes. ACC 2014: 1957-1962 - 2013
- [j8]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): 8584-8594 (2013) - [c14]Xiaofeng Yuan, Hongwei Zhang, Zhihuan Song:
A soft-sensor for estimating copper quality by image analysis technology. ICCA 2013: 991-996 - [c13]Shu Lin, Chunjie Yang, Ping Wu, Zhihuan Song:
Fuzzy logic surge control in variable speed axial compressors. ICCA 2013: 1178-1183 - 2012
- [j7]De Gu, Zhihuan Song:
Bottleneck Recognition by Virtual Temperature Field in Wireless Sensor Networks. Ad Hoc Sens. Wirel. Networks 15(2-4): 127-150 (2012) - [c12]Qiaojun Wen, Zhiqiang Ge, Zhihuan Song:
Nonlinear dynamic process monitoring based on kernel partial least squares. ACC 2012: 6650-6654 - 2011
- [j6]Zhiqiang Ge, Zhihuan Song:
Process structure change detection by eigenvalue-based method. Comput. Chem. Eng. 35(2): 284-295 (2011) - [j5]Zhi-Bo Zhu, Zhi-Huan Song:
A novel fault diagnosis system using pattern classification on kernel FDA subspace. Expert Syst. Appl. 38(6): 6895-6905 (2011) - [j4]Zhiqiang Ge, Zhihuan Song:
A distribution-free method for process monitoring. Expert Syst. Appl. 38(8): 9821-9829 (2011) - 2010
- [j3]Lingjian Ye, Zhi-Huan Song:
New loop pairing criterion based on interaction and integrity considerations. J. Zhejiang Univ. Sci. C 11(5): 381-393 (2010) - [j2]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): 1472-1484 (2010) - [c11]Muguang Zhang, Zhiqiang Ge, Zhihuan Song:
Probabilistic process monitoring with Bayesian regularization. ACC 2010: 6999-7003 - [c10]Ruowei Fu, Muguang Zhang, Zhihuan Song, Zhiqiang Ge:
Global-local structure analysis for fault detection. CDC 2010: 4379-4384 - [c9]Gang Li, Qi Xuan, Zhihuan Song, Xiaogang Jin:
Complex Supply Networks Evolving Model: Complex Networks perspective. ISKE 2010: 511-516
2000 – 2009
- 2009
- [j1]Zhe Jin, Yanwei Zhou, Zhihuan Song:
Behavioral Modeling of RF Power amplifiers Using Modified Volterra Series. J. Circuits Syst. Comput. 18(2): 351-359 (2009) - [c8]Zhiqiang Ge, Zhihuan Song, Muguang Zhang, Ruowei Fu, Zhibo Zhu:
Bayesian method for multimode non-Gaussian process monitoring. CDC 2009: 4927-4932 - 2006
- [c7]Haiqing Wang, Ping Li, Zhi-Huan Song, Steven X. Ding:
Adaptive Kernel Leaning Networks with Application to Nonlinear System Identification. ICONIP (1) 2006: 737-746 - [c6]En-Hui Zheng, Min Yang, Ping Li, Zhi-Huan Song:
Fuzzy Support Vector Clustering. ISNN (1) 2006: 1050-1056 - [c5]Yugang Fan, Ping Li, Zhi-Huan Song:
Grid-Based Fuzzy Support Vector Data Description. ISNN (1) 2006: 1273-1279 - 2005
- [c4]Ai-jun Chen, Zhi-Huan Song, Ping Li:
Soft Sensor Modeling Based on DICA-SVR. ICIC (1) 2005: 868-877 - 2003
- [c3]Tian-le Tan, Zhi-Huan Song, Ping Li:
Rough set based modeling and controller design in an internal model control system. SMC 2003: 3559-3564 - 2000
- [c2]Haiqing Wang, Zhihuan Song, Ping Li:
Wavelet-based frequency band weighting approach to control-relevant process identification. ACC 2000: 944-948 - [c1]Haiqing Wang, Zhi-Huan Song, Ping Li:
Improved PCA with optimized sensor locations for process monitoring and fault diagnosis. CDC 2000: 4353-4358
Coauthor Index
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last updated on 2024-08-13 21:45 CEST by the dblp team
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