Qun-Xiong Zhu - researchr alias

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Viewing Publication 1 - 20 from 20

2024

Adversarial Attacks for Neural Network-Based Industrial Soft Sensors: Mirror Output Attack and Translation Mirror Output AttackLei Chen, Qun-Xiong Zhu, Yan-Lin He. tii, 20(2):2378-2386, February 2024. [doi]

Novel Schur Decomposition Orthogonal Exponential DLPP With Mixture Distance for Fault DiagnosisYan-Lin He, Jin-Tao Liang, Ye Tian, Qun-Xiong Zhu. tii, 20(4):5601-5608, April 2024. [doi]

Improved Bi-LSTM With Distributed Nonlinear Extensions and Parallel Inputs for Soft SensingYan-Lin He, Peng-fei Wang, Qun-Xiong Zhu. tii, 20(3):3748-3755, March 2024. [doi]

Quality Regularization-Based Semisupervised Adversarial Transfer Model With Unlabeled Data for Industrial Soft SensingYan-Lin He, Lei Chen, Qun-Xiong Zhu. tii, 20(2):1190-1197, February 2024. [doi]

Novel Multiattribute Space-Based LSTM for Industrial Soft Sensor ApplicationsYan-Lin He, Shao-Hua Lv, Qun-Xiong Zhu, Shan Lu. tii, 20(3):4745-4752, March 2024. [doi]

Data Mode-Related Generative Adversarial Network for Industrial Soft Sensor ApplicationXingyuan Li, Qun-Xiong Zhu, Yan-Lin He. tii, 20(3):4198-4205, March 2024. [doi]

Novel Deep Layers-Extended Autoencoder With Correlation and Its Industrial Soft SensingYe Tian, Qun-Xiong Zhu, Yan-Lin He. tii, 20(1):596-604, January 2024. [doi]

Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled dataJun-Feng Yang, Ning Zhang, Yan-Lin He, Qun-Xiong Zhu, Yuan Xu. eswa, 238(Part F):122393, March 2024. [doi]

2023

Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensingYan-Lin He, Xing-Yuan Li, Jia-Hui Ma, Qun-Xiong Zhu, Shan Lu 0009. eaai, 119:105737, March 2023. [doi]

A New Distributed Echo State Network Integrated With an Auto-Encoder for Dynamic Soft SensingYan-Lin He, Lei Chen, Yuan Xu, Qun-Xiong Zhu, Shan Lu. tim, 72:1-8, 2023. [doi]

Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault DiagnosisYan-Lin He, Kun Li, Li-Long Liang, Yuan Xu, Qun-Xiong Zhu. tr, 72(1):166-176, March 2023. [doi]

Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small dataXiao-Lu Song, Yan-Lin He, Xing-Yuan Li, Qun-Xiong Zhu, Yuan Xu. eswa, 225:120085, September 2023. [doi]

Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault DiagnosisNing Zhang, Ye Tian, Xin Wei Wang, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He. tim, 72:1-9, 2023. [doi]

Farthest-Nearest Distance Neighborhood and Locality Projections Integrated With Bootstrap for Industrial Process Fault DiagnosisNing Zhang, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He. tii, 19(5):6284-6294, May 2023. [doi]

Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial ProcessesNing Zhang, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He. tr, 72(1):204-213, March 2023. [doi]

Novel Regularization Double Preserving Integrated With Neighborhood Locality Projections for Fault DiagnosisNing Zhang, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He. tii, 19(10):10478-10488, October 2023. [doi]

2022

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