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Wentao Mao
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2020 – today
- 2024
- [j47]Wentao Mao
, Zongtao Chen
Harmony better than uniformity: A new pre-training anomaly detection method with tensor domain adaptation for early fault evaluation. Eng. Appl. Artif. Intell. 127(Part A): 107427 (2024) - [j46]Jianing Wu, Wentao Mao
A Novel Few-Shot Deep Transfer Learning Method for Anomaly Detection: Deep Domain-Adversarial Contrastive Network With Time-Frequency Transferability Analytics. IEEE Internet Things J. 11(17): 28809-28823 (2024) - [j45]Wentao Mao
Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines. Reliab. Eng. Syst. Saf. 242: 109695 (2024) - [j44]Wentao Mao
SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - 2023
- [j43]Zhidan Zhong, Hao Liu
Imbalanced Bearing Fault Diagnosis Based on RFH-GAN and PSA-DRSN. IEEE Access 11: 131926-131938 (2023) - [j42]Lilin Fan, Jiahu Zhang, Wentao Mao
Unsupervised Anomaly Detection for Intermittent Sequences Based on Multi-Granularity Abnormal Pattern Mining. Entropy 25(1): 123 (2023) - [j41]Lilin Fan, Xia Liu, Wentao Mao
Spare Parts Demand Forecasting Method Based on Intermittent Feature Adaptation. Entropy 25(5): 764 (2023) - [j40]Wentao Mao, Gangsheng Wang, Linlin Kou, Xihui Liang:
Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning. IEEE CAA J. Autom. Sinica 10(2): 524-546 (2023) - [j39]Kairong Hong, Yingying Ren, Fengyuan Li, Wentao Mao
Robust Interval Prediction of Intermittent Demand for Spare Parts Based on Tensor Optimization. Sensors 23(16): 7182 (2023) - [j38]Xiao-Qi Guo, Wei-Neng Chen
Edge-Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems. IEEE Trans. Cybern. 53(10): 6598-6611 (2023) - [j37]Wentao Mao
Self-Supervised Deep Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction of Rolling Bearing Under Unknown Working Condition. IEEE Trans. Ind. Informatics 19(2): 1227-1237 (2023) - [j36]Wentao Mao
Self-Supervised Deep Tensor Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction Across Machines. IEEE Trans. Instrum. Meas. 72: 1-16 (2023) - [j35]Wentao Mao
A New Deep Tensor Autoencoder Network for Unsupervised Health Indicator Construction and Degradation State Evaluation of Metro Wheel. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [j34]Feng-Feng Wei
An Efficient Two-Stage Surrogate-Assisted Differential Evolution for Expensive Inequality Constrained Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7769-7782 (2023) - 2022
- [j33]Yanna Zhang
Novel windowed linear canonical transform: Definition, properties and application. Digit. Signal Process. 130: 103732 (2022) - [j32]Linlin Kou
The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings. Sensors 22(15): 5681 (2022) - [j31]Qiang Yang
An Adaptive Stochastic Dominant Learning Swarm Optimizer for High-Dimensional Optimization. IEEE Trans. Cybern. 52(3): 1960-1976 (2022) - [j30]Wentao Mao
An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion. IEEE Trans. Instrum. Meas. 71: 1-16 (2022) - [j29]Wentao Mao
Unsupervised Deep Multitask Anomaly Detection With Robust Alarm Strategy for Online Evaluation of Bearing Early Fault Occurrence. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [c12]Guorong Wang, Wentao Mao, Yingzhi Tang, Yan Xiao:
Research on On-line Data Prediction of Electrical Equipment Based on Wavelet Analysis and Data Fusion. IPEC 2022: 719-723 - 2021
- [j28]Wentao Mao
Prediction of Bearings Remaining Useful Life Across Working Conditions Based on Transfer Learning and Time Series Clustering. IEEE Access 9: 135285-135303 (2021) - [j27]Keying Liu, Wentao Mao
A New Unsupervised Online Early Fault Detection Framework of Rolling Bearings Based on Granular Feature Forecasting. IEEE Access 9: 159684-159698 (2021) - [j26]Yuan Li
Three-Dimensional Elastodynamic Analysis Employing Partially Discontinuous Boundary Elements. Algorithms 14(5): 129 (2021) - [j25]Xinming Zhang, Qiuying Lin, Wentao Mao, Shangwang Liu, Zhi Dou, Guoqi Liu:
Hybrid Particle Swarm and Grey Wolf Optimizer and its application to clustering optimization. Appl. Soft Comput. 101: 107061 (2021) - [j24]Wentao Mao
A New Deep Dual Temporal Domain Adaptation Method for Online Detection of Bearings Early Fault. Entropy 23(2): 162 (2021) - [j23]Wentao Mao
Construction of Health Indicators for Rotating Machinery Using Deep Transfer Learning With Multiscale Feature Representation. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j22]Wentao Mao
A New Structured Domain Adversarial Neural Network for Transfer Fault Diagnosis of Rolling Bearings Under Different Working Conditions. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c11]Hong Zhang, Wentao Mao, Yingzhi Tang, Guorong Wang:
Research on Key Technologies of Large Data Smart Grid Based on Power Grid Operation Simulation. ICISCAE (IEEE) 2021: 311-315 - 2020
- [j21]Xinming Zhang, Doudou Wang, Haiyan Chen
Improved Laplacian Biogeography-Based Optimization Algorithm and Its Application to QAP. Complex. 2020: 7824785:1-7824785:19 (2020) - [j20]Chunhong Liu
Failure prediction of tasks in the cloud at an earlier stage: a solution based on domain information mining. Computing 102(9): 2001-2023 (2020) - [j19]Wentao Mao
A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching. IEEE Trans. Instrum. Meas. 69(2): 443-456 (2020) - [j18]Wentao Mao, Jianliang He, Ming Jian Zuo
Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning. IEEE Trans. Instrum. Meas. 69(4): 1594-1608 (2020)
2010 – 2019
- 2019
- [j17]Wentao Mao
Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study. IEEE Access 7: 9515-9530 (2019) - [j16]Xinming Zhang, Zihao Fu, Haiyan Chen
Lévy Flight Shuffle Frog Leaping Algorithm Based on Differential Perturbation and Quasi-Newton Search. IEEE Access 7: 116078-116093 (2019) - [j15]Shiguang Zhang
ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction. Entropy 21(11): 1056 (2019) - 2018
- [c10]Wentao Mao, Wentao Xu, Yuan Li:
Sparse Feature Grouping based on 𝓁1/2 Norm Regularization. ACC 2018: 1045-1051 - [c9]Wentao Mao, Siyu Tian, Xihui Liang, Jianliang He:
Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder. ICPHM 2018: 1-7 - 2017
- [j14]Wentao Mao
Online Extreme Learning Machine with Hybrid Sampling Strategy for Sequential Imbalanced Data. Cogn. Comput. 9(6): 780-800 (2017) - [j13]Wentao Mao
Online sequential prediction of imbalance data with two-stage hybrid strategy by extreme learning machine. Neurocomputing 261: 94-105 (2017) - [j12]Wentao Mao, Jinwan Wang, Zhanao Xue:
An ELM-based model with sparse-weighting strategy for sequential data imbalance problem. Int. J. Mach. Learn. Cybern. 8(4): 1333-1345 (2017) - 2016
- [j11]Jinwan Wang, Wentao Mao, Liyun Wang, Ling He:
基于主曲线的不均衡在线贯序极限学习机研究 (Imbalanced Online Sequential Extreme Learning Machine Based on Principal Curve). 计算机科学 43(3): 62-67 (2016) - 2015
- [j10]Wentao Mao
Multi-dimensional extreme learning machine. Neurocomputing 149: 160-170 (2015) - [c8]Wentao Mao, Qiang Wang
Real-time human body parts localization from dynamic vision sensor. ICIP 2015: 4783-4787 - [c7]Wentao Mao, Jinwan Wang, Liyun Wang:
Online sequential classification of imbalanced data by combining extreme learning machine and improved SMOTE algorithm. IJCNN 2015: 1-8 - 2014
- [j9]Wentao Mao, Jiucheng Xu, Chuan Wang, Longlei Dong:
A fast and robust model selection algorithm for multi-input multi-output support vector machine. Neurocomputing 130: 10-19 (2014) - [j8]Wentao Mao, Xiaoxia Mu, Yanbin Zheng, Guirong Yan:
Leave-one-out cross-validation-based model selection for multi-input multi-output support vector machine. Neural Comput. Appl. 24(2): 441-451 (2014) - [j7]Wentao Mao, Yanbin Zheng, Xiaoxia Mu, Jinwei Zhao:
Uncertainty evaluation and model selection of extreme learning machine based on Riemannian metric. Neural Comput. Appl. 24(7-8): 1613-1625 (2014) - [c6]Wentao Mao, Haicheng Wang, Shangwang Liu:
A new multi-task learning based Wi-Fi location approach using L1/2-norm. IJCNN 2014: 2149-2155 - 2013
- [j6]Naiqin Feng, Xianfang Wang, Wentao Mao, Lianhui Ao:
Heteroassociative morphological memories based on four-dimensional storage. Neurocomputing 116: 76-86 (2013) - [j5]Wentao Mao, Yali Wang, Xizheng Cao, Yanbin Zheng:
Mixture Regression Estimation based on Extreme Learning Machine. J. Comput. 8(11): 2925-2933 (2013) - [j4]Wentao Mao, Mei Tian, Xizheng Cao, Jiucheng Xu:
Model selection of extreme learning machine based on multi-objective optimization. Neural Comput. Appl. 22(3-4): 521-529 (2013) - [j3]Jinwei Zhao, Guirong Yan, Boqin Feng, Wentao Mao, Junqing Bai:
An adaptive support vector regression based on a new sequence of unified orthogonal polynomials. Pattern Recognit. 46(3): 899-913 (2013) - 2012
- [c5]Wentao Mao, Mei Tian, Guirong Yan, Xianfang Wang:
Research of Dynamic Load Identification Based on Extreme Learning Machine. ISNN (1) 2012: 80-89 - 2011
- [j2]Wentao Mao, Guirong Yan, Longlei Dong
Model selection for least squares support vector regressions based on small-world strategy. Expert Syst. Appl. 38(4): 3227-3237 (2011) - 2010
- [c4]Wentao Mao, Guirong Yan, Junqing Bai, Hao Li:
Regression Transfer Learning Based on Principal Curve. ISNN (1) 2010: 365-372
2000 – 2009
- 2009
- [j1]Wentao Mao, Guirong Yan, Longlei Dong:
Weighted solution path algorithm of support vector regression based on heuristic weight-setting optimization. Neurocomputing 73(1-3): 495-505 (2009) - [c3]Dike Hu, Wentao Mao, Jinwei Zhao, Guirong Yan:
Application of LSSVM-PSO to Load Identification in Frequency Domain. AICI 2009: 231-240 - [c2]Junqing Bai, Guirong Yan, Wentao Mao:
The Relationship between Generalization Error and the Training Sample Number of SVM. ICNC (1) 2009: 574-577 - 2008
- [c1]Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wentao Mao:
Pre-extracting method for SVM classification based on the non-parametric K-NN rule. ICPR 2008: 1-4
Coauthor Index
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last updated on 2024-09-10 02:08 CEST by the dblp team
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