Wentao Mao

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 40

Top Topics

Transfer Learning

Anomaly Detection

Model Selection

Top Venues

IEEE Trans. Instrum. Meas.

Publications

Wentao Mao, Wen Zhang, Ke Feng, Michael Beer, Chunsheng Yang
Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines. Reliab. Eng. Syst. Saf. 242 (2024)
Wentao Mao, Yu Wang, Ke Feng, Linlin Kou, Yanna Zhang
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 (2024)
Wentao Mao, Zongtao Chen, Yanna Zhang, Zhidan Zhong
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) (2024)
Wentao Mao, Keying Liu, Yanna Zhang, Xihui Liang, Zhijian Wang
Self-Supervised Deep Tensor Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction Across Machines. IEEE Trans. Instrum. Meas. 72 (2023)
Lilin Fan, Jiahu Zhang, Wentao Mao, Fukang Cao
Unsupervised Anomaly Detection for Intermittent Sequences Based on Multi-Granularity Abnormal Pattern Mining. Entropy 25 (1) (2023)
Feng-Feng Wei, Wei-Neng Chen, Wentao Mao, Xiao-Min Hu, Jun Zhang
An Efficient Two-Stage Surrogate-Assisted Differential Evolution for Expensive Inequality Constrained Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (12) (2023)
Kairong Hong, Yingying Ren, Fengyuan Li, Wentao Mao, Xiang Gao
Robust Interval Prediction of Intermittent Demand for Spare Parts Based on Tensor Optimization. Sensors 23 (16) (2023)
Lilin Fan, Xia Liu, Wentao Mao, Kai Yang, Zhaoyu Song
Spare Parts Demand Forecasting Method Based on Intermittent Feature Adaptation. Entropy 25 (5) (2023)
Wentao Mao, Yu Wang, Linlin Kou, Xihui Liang
A New Deep Tensor Autoencoder Network for Unsupervised Health Indicator Construction and Degradation State Evaluation of Metro Wheel. IEEE Trans. Instrum. Meas. 72 (2023)
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) (2023)
Zhidan Zhong, Hao Liu, Wentao Mao, Xinghui Xie, Wenlu Hao, Yunhao Cui
Imbalanced Bearing Fault Diagnosis Based on RFH-GAN and PSA-DRSN. IEEE Access 11 (2023)
Wentao Mao, Jiaxian Chen, Jing Liu, Xihui Liang
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) (2023)
Xiao-Qi Guo, Wei-Neng Chen, Feng-Feng Wei, Wentao Mao, Xiao-Min Hu, Jun Zhang
Edge-Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems. IEEE Trans. Cybern. 53 (10) (2023)
Yanna Zhang, Yong Guo, Wentao Mao
Novel windowed linear canonical transform: Definition, properties and application. Digit. Signal Process. 130 (2022)
Wentao Mao, Huadong Shi, Gangsheng Wang, Xihui Liang
Unsupervised Deep Multitask Anomaly Detection With Robust Alarm Strategy for Online Evaluation of Bearing Early Fault Occurrence. IEEE Trans. Instrum. Meas. 71 (2022)
Wentao Mao, Jing Liu, Jiaxian Chen, Xihui Liang
An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion. IEEE Trans. Instrum. Meas. 71 (2022)
Linlin Kou, Jiaxian Chen, Yong Qin, Wentao Mao
The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings. Sensors 22 (15) (2022)
Qiang Yang, Wei-Neng Chen, Tianlong Gu, Hu Jin, Wentao Mao, Jun Zhang
An Adaptive Stochastic Dominant Learning Swarm Optimizer for High-Dimensional Optimization. IEEE Trans. Cybern. 52 (3) (2022)
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)
Wentao Mao, Yamin Liu, Ling Ding, Ali Safian, Xihui Liang
A New Structured Domain Adversarial Neural Network for Transfer Fault Diagnosis of Rolling Bearings Under Different Working Conditions. IEEE Trans. Instrum. Meas. 70 (2021)
Wentao Mao, Bin Sun, Liyun Wang
A New Deep Dual Temporal Domain Adaptation Method for Online Detection of Bearings Early Fault. Entropy 23 (2) (2021)
Yuan Li, Ni Zhang, Yuejiao Gong, Wentao Mao, Shiguang Zhang
Three-Dimensional Elastodynamic Analysis Employing Partially Discontinuous Boundary Elements. Algorithms 14 (5) (2021)
Wentao Mao, Jiaxian Chen, Yuejian Chen, Sajad Saraygord Afshari, Xihui Liang
Construction of Health Indicators for Rotating Machinery Using Deep Transfer Learning With Multiscale Feature Representation. IEEE Trans. Instrum. Meas. 70 (2021)
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)
Wentao Mao, Jianliang He, Bin Sun, Liyun Wang
Prediction of Bearings Remaining Useful Life Across Working Conditions Based on Transfer Learning and Time Series Clustering. IEEE Access 9 (2021)
Keying Liu, Wentao Mao, Huadong Shi, Xihui Liang
A New Unsupervised Online Early Fault Detection Framework of Rolling Bearings Based on Granular Feature Forecasting. IEEE Access 9 (2021)
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 (2021)
Wentao Mao, Jiaxian Chen, Xihui Liang, Xinming Zhang
A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching. IEEE Trans. Instrum. Meas. 69 (2) (2020)
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) (2020)
Xinming Zhang, Doudou Wang, Haiyan Chen, Wentao Mao, Shangwang Liu, Guoqi Liu, Zhi Dou
Improved Laplacian Biogeography-Based Optimization Algorithm and Its Application to QAP. Complex. 2020 (2020)
Chunhong Liu, Liping Dai, Yi Lai, Guibing Lai, Wentao Mao
Failure prediction of tasks in the cloud at an earlier stage: a solution based on domain information mining. Computing 102 (9) (2020)
Wentao Mao, Yamin Liu, Ling Ding, Yuan Li
Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study. IEEE Access 7 (2019)
Shiguang Zhang, Ting Zhou, Lin Sun, Wei Wang, Chuan Wang, Wentao Mao
ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction. Entropy 21 (11) (2019)
Xinming Zhang, Zihao Fu, Haiyan Chen, Wentao Mao, Shangwang Liu, Guoqi Liu
Lévy Flight Shuffle Frog Leaping Algorithm Based on Differential Perturbation and Quasi-Newton Search. IEEE Access 7 (2019)
Wentao Mao, Wentao Xu, Yuan Li
Norm Regularization. ACC (2018)
Wentao Mao, Siyu Tian, Xihui Liang, Jianliang He
Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder. ICPHM (2018)
Wentao Mao, Jinwan Wang, Ling He, Yangyang Tian
Online sequential prediction of imbalance data with two-stage hybrid strategy by extreme learning machine. Neurocomputing 261 (2017)
Wentao Mao, Mengxue Jiang, Jinwan Wang, Yuan Li
Online Extreme Learning Machine with Hybrid Sampling Strategy for Sequential Imbalanced Data. Cogn. Comput. 9 (6) (2017)
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) (2017)
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) (2016)
Wentao Mao, Shengjie Zhao, Xiaoxia Mu, Haicheng Wang
Multi-dimensional extreme learning machine. Neurocomputing 149 (2015)
Wentao Mao, Qiang Wang, Xiaotao Wang, Ping Guo, Shandong Wang, Guangqi Shao, Kyoobin Lee, Paul K. J. Park
Real-time human body parts localization from dynamic vision sensor. ICIP (2015)
Wentao Mao, Jinwan Wang, Liyun Wang
Online sequential classification of imbalanced data by combining extreme learning machine and improved SMOTE algorithm. IJCNN (2015)
Wentao Mao, Haicheng Wang, Shangwang Liu
A new multi-task learning based Wi-Fi location approach using L1/2-norm. IJCNN (2014)
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) (2014)
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 (2014)
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) (2014)
Wentao Mao, Yali Wang, Xizheng Cao, Yanbin Zheng
Mixture Regression Estimation based on Extreme Learning Machine. J. Comput. 8 (11) (2013)
Naiqin Feng, Xianfang Wang, Wentao Mao, Lianhui Ao
Heteroassociative morphological memories based on four-dimensional storage. Neurocomputing 116 (2013)
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) (2013)
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) (2013)
Wentao Mao, Mei Tian, Guirong Yan, Xianfang Wang
Research of Dynamic Load Identification Based on Extreme Learning Machine. ISNN (1) (2012)
Wentao Mao, Guirong Yan, Longlei Dong, Dike Hu
Model selection for least squares support vector regressions based on small-world strategy. Expert Syst. Appl. 38 (4) (2011)
Wentao Mao, Guirong Yan, Junqing Bai, Hao Li
Regression Transfer Learning Based on Principal Curve. ISNN (1) (2010)
Dike Hu, Wentao Mao, Jinwei Zhao, Guirong Yan
Application of LSSVM-PSO to Load Identification in Frequency Domain. AICI (2009)
Junqing Bai, Guirong Yan, Wentao Mao
The Relationship between Generalization Error and the Training Sample Number of SVM. ICNC (1) (2009)
Wentao Mao, Guirong Yan, Longlei Dong
Weighted solution path algorithm of support vector regression based on heuristic weight-setting optimization. Neurocomputing 73 (1-3) (2009)
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)