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Qunxiong Zhu
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2020 – today
- 2024
- [j53]Jun-Feng Yang, Ning Zhang, Yan-Lin He, Qun-Xiong Zhu, Yuan Xu:
Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data. Expert Syst. Appl. 238(Part F): 122393 (2024) - [j52]Haoyang Qing, Ning Zhang, Yanlin He, Yuan Xu, Qunxiong Zhu:
IC points weight learning-based GCN and improving feature distribution for industrial fault diagnosis. Expert Syst. Appl. 255: 124681 (2024) - [j51]Ning Zhang, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He:
Improved Multi-Distance ARMF Integrated With LTSA Based Pattern Matching Method and Its Application in Fault Diagnosis. IEEE Trans Autom. Sci. Eng. 21(3): 3461-3471 (2024) - [j50]Lei Chen, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He:
Adaptive Multi-Head Self-Attention Based Supervised VAE for Industrial Soft Sensing With Missing Data. IEEE Trans Autom. Sci. Eng. 21(3): 3564-3575 (2024) - [j49]Yan-Lin He, Xing-Yuan Li, Yuan Xu, Qun-Xiong Zhu, Shan Lu:
Novel Distributed GRUs Based on Hybrid Self-Attention Mechanism for Dynamic Soft Sensing. IEEE Trans Autom. Sci. Eng. 21(4): 5161-5172 (2024) - [j48]Ye Tian, Qun-Xiong Zhu, Yan-Lin He:
Novel Deep Layers-Extended Autoencoder With Correlation and Its Industrial Soft Sensing. IEEE Trans. Ind. Informatics 20(1): 596-604 (2024) - [j47]Yan-Lin He, Lei Chen, Qun-Xiong Zhu:
Quality Regularization-Based Semisupervised Adversarial Transfer Model With Unlabeled Data for Industrial Soft Sensing. IEEE Trans. Ind. Informatics 20(2): 1190-1197 (2024) - [j46]Lei Chen, Qun-Xiong Zhu, Yan-Lin He:
Adversarial Attacks for Neural Network-Based Industrial Soft Sensors: Mirror Output Attack and Translation Mirror Output Attack. IEEE Trans. Ind. Informatics 20(2): 2378-2386 (2024) - [j45]Yan-Lin He, Peng-Fei Wang, Qun-Xiong Zhu:
Improved Bi-LSTM With Distributed Nonlinear Extensions and Parallel Inputs for Soft Sensing. IEEE Trans. Ind. Informatics 20(3): 3748-3755 (2024) - [j44]Xingyuan Li, Qun-Xiong Zhu, Yan-Lin He:
Data Mode-Related Generative Adversarial Network for Industrial Soft Sensor Application. IEEE Trans. Ind. Informatics 20(3): 4198-4205 (2024) - [j43]Yan-Lin He, Shao-Hua Lv, Qun-Xiong Zhu, Shan Lu:
Novel Multiattribute Space-Based LSTM for Industrial Soft Sensor Applications. IEEE Trans. Ind. Informatics 20(3): 4745-4752 (2024) - [j42]Yang Zhang, Hao Bai, Yuan Xu, Yanlin He, Qunxiong Zhu, Hao Sheng:
Single-Stage Related Object Detection for Intelligent Industrial Surveillance. IEEE Trans. Ind. Informatics 20(4): 5539-5549 (2024) - [j41]Yan-Lin He, Jin-Tao Liang, Ye Tian, Qun-Xiong Zhu:
Novel Schur Decomposition Orthogonal Exponential DLPP With Mixture Distance for Fault Diagnosis. IEEE Trans. Ind. Informatics 20(4): 5601-5608 (2024) - [j40]Xiao-Lu Song, Lei Chen, Ning Zhang, Yan-Lin He, Yuan Xu, Qun-Xiong Zhu:
Feature Representation-Based Cross-Modality Shared-Specific Network and Its Application in Multimode Process Soft Sensing. IEEE Trans. Ind. Informatics 20(10): 12168-12177 (2024) - [j39]Lei Chen, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He:
Soft Sensor Enhancement for Multimodal Industrial Process Data: Meta Regression Gaussian Mixture Variational Autoencoder. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [c26]Hai-Lin Wang, Qun-Xiong Zhu, Yan-Lin He, Yuan Xu:
Novel Virtual Sample Generation Using Score Based Model for Addressing Small Data in Soft Sensing. CoDIT 2024: 199-204 - [c25]Peng-Fei Wang, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He:
Novel Virtual Sample Generation Approach Using Cubic Spline Interpolation Based Autoencoder for Industrial Soft Sensing Under the Condition of Limited Samples. CoDIT 2024: 581-586 - 2023
- [j38]Yan-Lin He, Xing-Yuan Li, Jia-Hui Ma, Qun-Xiong Zhu, Shan Lu:
Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing. Eng. Appl. Artif. Intell. 119: 105737 (2023) - [j37]Xiao-Lu Song, Yan-Lin He, Xing-Yuan Li, Qun-Xiong Zhu, Yuan Xu:
Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small data. Expert Syst. Appl. 225: 120085 (2023) - [j36]Yuan Xu, Youyuan Chen, Yang Zhang, Qunxiong Zhu, Yanlin He, Hao Sheng:
Bilateral association tracking with parzen window density estimation. IET Image Process. 17(1): 274-290 (2023) - [j35]Yuan Xu, Yichao Jin, Yang Zhang, Qunxiong Zhu, Yanlin He, Hao Sheng:
3D zebrafish tracking with topology association. IET Image Process. 17(4): 1044-1059 (2023) - [j34]Ning Zhang, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He:
Farthest-Nearest Distance Neighborhood and Locality Projections Integrated With Bootstrap for Industrial Process Fault Diagnosis. IEEE Trans. Ind. Informatics 19(5): 6284-6294 (2023) - [j33]Hao Wu, Yongming Han, Qunxiong Zhu, Zhiqiang Geng:
Novel Feature-Disentangled Autoencoder Integrating Residual Network for Industrial Soft Sensor. IEEE Trans. Ind. Informatics 19(10): 10299-10308 (2023) - [j32]Ning Zhang, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He:
Novel Regularization Double Preserving Integrated With Neighborhood Locality Projections for Fault Diagnosis. IEEE Trans. Ind. Informatics 19(10): 10478-10488 (2023) - [j31]Yan-Lin He, Lei Chen, Yuan Xu, Qun-Xiong Zhu, Shan Lu:
A New Distributed Echo State Network Integrated With an Auto-Encoder for Dynamic Soft Sensing. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - [j30]Ning Zhang, Ye Tian, Xin-Wei Wang, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He:
Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [j29]Yan-Lin He, Kun Li, Li-Long Liang, Yuan Xu, Qun-Xiong Zhu:
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis. IEEE Trans. Reliab. 72(1): 166-176 (2023) - [j28]Ning Zhang, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He:
Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes. IEEE Trans. Reliab. 72(1): 204-213 (2023) - [j27]Yongming Han, Yue Wang, Yuan Cao, Zhiqiang Geng, Qunxiong Zhu:
A Novel Wrapped Feature Selection Framework for Developing Power System Intrusion Detection Based on Machine Learning Methods. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 7066-7076 (2023) - [c24]Yang Zhang, Hao Bai, Yuan Xu, Yanlin He, Qunxiong Zhu, Hao Sheng:
A Dual Relation Extractor for Object Detection. ICTAI 2023: 986-990 - 2022
- [j26]Xue Jiang, Yuan Xu, Wei Ke, Yang Zhang, Qun-Xiong Zhu, Yan-Lin He:
An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [j25]Ye Tian, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He:
Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j24]Qun-Xiong Zhu, Xin-Wei Wang, Ning Zhang, Yuan Xu, Yan-Lin He:
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [c23]Qun-Xiong Zhu, Ning Zhang, Yan-Lin He, Yuan Xu:
Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process. CoDIT 2022: 326-331 - 2021
- [j23]Zhong-Sheng Chen, Kun-Rui Hou, Mei-Yu Zhu, Yuan Xu, Qunxiong Zhu:
A virtual sample generation approach based on a modified conditional GAN and centroidal Voronoi tessellation sampling to cope with small sample size problems: Application to soft sensing for chemical process. Appl. Soft Comput. 101: 107070 (2021) - [j22]Qunxiong Zhu, Kun-Rui Hou, Zhong-Sheng Chen, Zi-Shu Gao, Yuan Xu, Yan-Lin He:
Novel virtual sample generation using conditional GAN for developing soft sensor with small data. Eng. Appl. Artif. Intell. 106: 104497 (2021) - [j21]Zhong-Sheng Chen, Qunxiong Zhu, Yuan Xu, Yan-Lin He, Qinglin Su, Yiqing C. Liu, Zoltán K. Nagy:
Integrating virtual sample generation with input-training neural network for solving small sample size problems: application to purified terephthalic acid solvent system. Soft Comput. 25(8): 6489-6504 (2021) - [j20]Yan-Lin He, Kun Li, Ning Zhang, Yuan Xu, Qun-Xiong Zhu:
Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated With Sparse Autoencoder. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - [j19]Ye Tian, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He:
Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - 2020
- [j18]Yan-Lin He, Yang Zhao, Xiao Hu, Xiao-Na Yan, Qunxiong Zhu, Yuan Xu:
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples. Eng. Appl. Artif. Intell. 91: 103631 (2020) - [j17]Qunxiong Zhu, Zhong-Sheng Chen, Xiaohan Zhang, Abbas Rajabifard, Yuan Xu, Yiqun Chen:
Dealing with small sample size problems in process industry using virtual sample generation: a Kriging-based approach. Soft Comput. 24(9): 6889-6902 (2020) - [c22]Zhi-Ying Jiang, Bo Gao, Xingjian Tian, Yan-Lin He, Qunxiong Zhu:
An Improved Term Weighting Method for Content Analysis on Chinese Internet Media Contents. CoDIT 2020: 48-52
2010 – 2019
- 2019
- [j16]Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang:
Dynamic Minimax Probability Machine-Based Approach for Fault Diagnosis Using Pairwise Discriminate Analysis. IEEE Trans. Control. Syst. Technol. 27(2): 806-813 (2019) - [j15]Yuan Xu, Sheng-Qi Shen, Yan-Lin He, Qunxiong Zhu:
A Novel Hybrid Method Integrating ICA-PCA With Relevant Vector Machine for Multivariate Process Monitoring. IEEE Trans. Control. Syst. Technol. 27(4): 1780-1787 (2019) - [c21]Qunxiong Zhu, Xiaohan Zhang, Huihui Gao, Zhiqiang Geng, Yongming Han, Yan-Lin He, Yuan Xu:
Soft sensor development using PLSR based multi-kernel ELM. ASCC 2019: 829-832 - [c20]Zhiqiang Geng, Fenfen Liu, Yongming Han, Qunxiong Zhu, Yanlin He:
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis. ASCC 2019: 1495-1500 - [c19]Tong Zou, Yi Luo, Xiaohan Zhang, Qunxiong Zhu, Yan-Lin He:
Intelligent modeling using a novel feature extraction based multiple activation functions extreme learning machine. ICNSC 2019: 24-28 - [c18]Yi Luo, Yanlin He, Chongyang Lin, Qunxiong Zhu:
Improved Alarm Visualization System Based on Two-Dimensional Online Root-cause Contribution Graph for Industry 4.0. ICNSC 2019: 116-120 - 2018
- [c17]Yanlin He, Zhiqiang Geng, Yongming Han, Yuan Xu, Qunxiong Zhu:
A novel nonlinear virtual sample generation approach integrating extreme learning machine with noise injection for enhancing energy modeling and analysis on small data: Application to petrochemical industries. CoDIT 2018: 134-139 - [c16]Zhiqiang Geng, Xuan Hu, Qunxiong Zhu, Yongming Han, Yuan Xu, Yanlin He:
Pattern recognition for water flooded layer based on ensemble classifier. CoDIT 2018: 164-169 - [c15]Chen Zhang, Qunxiong Zhu, Zhiqiang Geng, Yuan Xu, Yongming Han, Yanlin He, Fang Duan:
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network. CoDIT 2018: 210-215 - [c14]Fang-Zhu Xu, Zhi-Ying Jiang, Yan-Lin He, Ya-Jie Wang, Qunxiong Zhu:
A Storm-Based Parallel Clustering Algorithm of Streaming Data. ICONIP (4) 2018: 134-144 - 2017
- [j14]Qiyu Liu, Qunxiong Zhu, Xin Yu, Zhiqiang Geng, Longjin Lv:
The numerical method for the optimal supporting position and related optimal control for the catalytic reaction system. Clust. Comput. 20(4): 2891-2903 (2017) - [j13]Qiyu Liu, Qunxiong Zhu, Longjin Lv:
Computational optimal control for the time fractional convection-diffusion-reaction system. Clust. Comput. 20(4): 2943-2953 (2017) - [j12]Yongming Han, Zhiqiang Geng, Qunxiong Zhu, Zun Wang, Yunfei Cui:
Energy consumption analysis and evaluation of petrochemical industries using an improved fuzzy analytic hierarchy process approach. J. Intell. Fuzzy Syst. 32(6): 4183-4195 (2017) - [c13]Yuan Xu, Ziqian Zhou, Zhiqiang Geng, Yanqing Wang, Yanlin He, Qunxiong Zhu:
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes. ASCC 2017: 1924-1927 - [c12]Yanlin He, Pingjiang Wang, Zhiqiang Geng, Yongming Han, Hao Sheng, Qunxiong Zhu:
An enhanced extreme learning machine with a double parallel structure and its application to modeling complex chemical processes. ASCC 2017: 2710-2713 - [c11]Benben Jiang, Zhifeng Guo, Qunxiong Zhu, Gao Huang:
Pairwise discriminate analysis based minimax probability machine (PDA-MPM) approach for fault diagnosis. CCTA 2017: 1486-1491 - 2015
- [j11]Yan-Lin He, Zhiqiang Geng, Qunxiong Zhu:
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets. Eng. Appl. Artif. Intell. 41: 65-74 (2015) - [j10]Yongming Han, Zhiqiang Geng, Xiangbai Gu, Qunxiong Zhu:
Energy efficiency analysis based on DEA integrated ISM: A case study for Chinese ethylene industries. Eng. Appl. Artif. Intell. 45: 80-89 (2015) - [j9]Yanlin He, Zhiqiang Geng, Qunxiong Zhu:
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state. Neurocomputing 165: 171-181 (2015) - [c10]Fang Li, Yawei Lv, Qunxiong Zhu, Xiaoyong Lin:
Research of Food Safety Event Detection Based on Multiple Data Sources. CCBD 2015: 213-216 - 2014
- [j8]Yan-Lin He, Zhiqiang Geng, Yuan Xu, Qunxiong Zhu:
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise. Neurocomputing 128: 407-414 (2014) - 2013
- [j7]Wenxing Xu, Zhiqiang Geng, Qunxiong Zhu, Xiangbai Gu:
A piecewise linear chaotic map and sequential quadratic programming based robust hybrid particle swarm optimization. Inf. Sci. 218: 85-102 (2013) - [c9]Shenghui Shi, Qunxiong Zhu:
Data dependence path. ICDIP 2013: 88784U - 2012
- [j6]Qunxiong Zhu, Wenxing Xu, Zhenyu Wang, Zhiqiang Geng:
A Constraints Scattered Memetic Algorithm for Constrained Optimization Problem. J. Comput. 7(11): 2788-2796 (2012) - [j5]Shenghui Shi, Qunxiong Zhu, Zhiqiang Geng, Wenxing Xu:
Intra-Transition Data Dependence. J. Softw. 7(12): 2663-2670 (2012) - 2011
- [j4]Xiangbai Gu, Zhiqiang Geng, Wenxing Xu, Qunxiong Zhu:
Hierarchy probability cost analysis model incorporate MAIMS principle for EPC project cost estimation. Expert Syst. Appl. 38(7): 8087-8098 (2011) - [j3]Fang Li, Qunxiong Zhu:
Dcoument Clustering in Research Literature Based on NMF and Testor Theory. J. Softw. 6(1): 78-82 (2011) - 2010
- [c8]Xiaoyong Lin, Qunxiong Zhu, Fang Li, Zhiqiang Geng, Shenghui Shi:
A share strategy for utility frequent patterns mining. FSKD 2010: 1428-1432 - [c7]Yuan Xu, Qunxiong Zhu:
Multi-layer moving-window hierarchical neural network for modeling of high-density polyethylene cascade reaction process. ICARCV 2010: 1684-1687 - [c6]Yuan Xu, Qunxiong Zhu:
Extension theory-based modeling for purified terephthalic acid solvent system. ICCA 2010: 1128-1132 - [c5]Fang Li, Qunxiong Zhu:
A Novel Fast Non-negative Matrix Factorization Algorithm and Its Application in Text Clustering. ICSI (2) 2010: 375-382 - [c4]Jinan Duan, Qunxiong Zhu, Zhong Guan:
A Requirement-Driven Approach to Enterprise Application Development. WISM 2010: 295-302
2000 – 2009
- 2009
- [j2]Zhiqiang Geng, Qunxiong Zhu:
Rough set-based heuristic hybrid recognizer and its application in fault diagnosis. Expert Syst. Appl. 36(2): 2711-2718 (2009) - 2008
- [c3]Xiaoling Yang, Qunxiong Zhu:
Application of Protocol Macro in Baking Temperature Control System. CSSE (3) 2008: 1108-1112 - 2007
- [c2]Qunxiong Zhu, Xiaoyong Lin:
Depth First Generation of Frequent Patterns Without Candidate Generation. PAKDD Workshops 2007: 378-388 - [c1]Qunxiong Zhu, Xiaoyong Lin:
Top-Down and Bottom-Up Strategies for Incremental Maintenance of Frequent Patterns. PAKDD Workshops 2007: 445-456 - 2006
- [j1]Xiangbai Gu, Qunxiong Zhu:
Fuzzy multi-attribute decision-making method based on eigenvector of fuzzy attribute evaluation space. Decis. Support Syst. 41(2): 400-410 (2006)
Coauthor Index
aka: Yan-Lin He
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