Wentao Mao - RankMe

66 papers B 5C 1Journal 53Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Collaboration Better Than Integration: A Novel Time-Frequency-Assisted Deep Feature Enhancement Mechanism for Few-Shot Transfer Learning in Anomaly Detection. IEEE CAA J. Autom. Sinica Wentao Mao, Jianing Wu, Shubin Du, Ke Feng, Zidong Wang
2026	J	`jnl`	Wiener process-assisted online remaining useful life prediction with deep incremental regression transfer learning. Reliab. Eng. Syst. Saf. Wentao Mao, Runze Guo, Jiayi Wang, Ming Jian Zuo, Zhidan Zhong
2025	—	`conf`	An Efficient Metadata Processing Method Based on Attention Mechanism. ICIC (25) Xuqing Chai, Zhen Wang, Shubin Liang, Wentao Mao, Zhixiong Tian, Yifan Zhang
2025	J	`jnl`	An Interpretable and Reliable Remaining Useful Life Prediction Approach Across Different Machines With Tensor Domain-Adversarial Regression Adaptation. IEEE Trans. Reliab. Wentao Mao, Jiayi Wang, Wen Zhang, Yuan Li, Panpan Zeng, Zhidan Zhong
2025	J	`jnl`	Change is safer: a dynamic safety stock model for inventory management of large manufacturing enterprise based on intermittent time series forecasting. J. Intell. Manuf. Lilin Fan, Zhaoyu Song, Wentao Mao, Tiejun Luo, Wanting Wang, Kai Yang, Fukang Cao
2025	J	`jnl`	Dynamic modeling-assisted tensor regression transfer learning for online remaining useful life prediction under open environment. Reliab. Eng. Syst. Saf. Wentao Mao, Jiayi Wang, Ke Feng, Zhidan Zhong, Ming Jian Zuo
2025	J	`jnl`	Wavelet Scattering Transformer: A Robust Rail Corrugation Detection Method Under Varying Speed Condition Based on Multiscale Time-Frequency Feature Representation. IEEE Trans. Instrum. Meas. Wentao Mao, Na Wang, Linlin Kou, Ke Feng
2024	J	`jnl`	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. Jianing Wu, Wentao Mao, Yanna Zhang, Lilin Fan, Zhidan Zhong
2024	J	`jnl`	Harmony better than uniformity: A new pre-training anomaly detection method with tensor domain adaptation for early fault evaluation. Eng. Appl. Artif. Intell. Wentao Mao, Zongtao Chen, Yanna Zhang, Zhidan Zhong
2024	J	`jnl`	SWDAE: A New Degradation State Evaluation Method for Metro Wheels With Interpretable Health Indicator Construction Based on Unsupervised Deep Learning. IEEE Trans. Instrum. Meas. Wentao Mao, Yu Wang, Ke Feng, Linlin Kou, Yanna Zhang
2024	J	`jnl`	Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines. Reliab. Eng. Syst. Saf. Wentao Mao, Wen Zhang, Ke Feng, Michael Beer, Chunsheng Yang
2023	J	`jnl`	A New Deep Tensor Autoencoder Network for Unsupervised Health Indicator Construction and Degradation State Evaluation of Metro Wheel. IEEE Trans. Instrum. Meas. Wentao Mao, Yu Wang, Linlin Kou, Xihui Liang
2023	J	`jnl`	An Efficient Two-Stage Surrogate-Assisted Differential Evolution for Expensive Inequality Constrained Optimization. IEEE Trans. Syst. Man Cybern. Syst. Feng-Feng Wei, Wei-Neng Chen, Wentao Mao, Xiao-Min Hu, Jun Zhang
2023	J	`jnl`	Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning. IEEE CAA J. Autom. Sinica Wentao Mao, Gangsheng Wang, Linlin Kou, Xihui Liang
2023	J	`jnl`	Edge-Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems. IEEE Trans. Cybern. Xiao-Qi Guo, Wei-Neng Chen, Feng-Feng Wei, Wentao Mao, Xiao-Min Hu, Jun Zhang
2023	J	`jnl`	Imbalanced Bearing Fault Diagnosis Based on RFH-GAN and PSA-DRSN. IEEE Access Zhidan Zhong, Hao Liu, Wentao Mao, Xinghui Xie, Wenlu Hao, Yunhao Cui
2023	J	`jnl`	Robust Interval Prediction of Intermittent Demand for Spare Parts Based on Tensor Optimization. Sensors Kairong Hong, Yingying Ren, Fengyuan Li, Wentao Mao, Xiang Gao
2023	J	`jnl`	Self-Supervised Deep Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction of Rolling Bearing Under Unknown Working Condition. IEEE Trans. Ind. Informatics Wentao Mao, Jiaxian Chen, Jing Liu, Xihui Liang
2023	J	`jnl`	Self-Supervised Deep Tensor Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction Across Machines. IEEE Trans. Instrum. Meas. Wentao Mao, Keying Liu, Yanna Zhang, Xihui Liang, Zhijian Wang
2023	J	`jnl`	Spare Parts Demand Forecasting Method Based on Intermittent Feature Adaptation. Entropy Lilin Fan, Xia Liu, Wentao Mao, Kai Yang, Zhaoyu Song
2023	J	`jnl`	Unsupervised Anomaly Detection for Intermittent Sequences Based on Multi-Granularity Abnormal Pattern Mining. Entropy Lilin Fan, Jiahu Zhang, Wentao Mao, Fukang Cao
2022	J	`jnl`	An Adaptive Stochastic Dominant Learning Swarm Optimizer for High-Dimensional Optimization. IEEE Trans. Cybern. Qiang Yang, Wei-Neng Chen, Tianlong Gu, Hu Jin, Wentao Mao, Jun Zhang
2022	J	`jnl`	An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion. IEEE Trans. Instrum. Meas. Wentao Mao, Jing Liu, Jiaxian Chen, Xihui Liang
2022	J	`jnl`	Novel windowed linear canonical transform: Definition, properties and application. Digit. Signal Process. Yanna Zhang, Yong Guo, Wentao Mao
2022	B	`conf`	Research on On-line Data Prediction of Electrical Equipment Based on Wavelet Analysis and Data Fusion. IPEC Guorong Wang, Wentao Mao, Yingzhi Tang, Yan Xiao
2022	J	`jnl`	The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings. Sensors Linlin Kou, Jiaxian Chen, Yong Qin, Wentao Mao
2022	J	`jnl`	Unsupervised Deep Multitask Anomaly Detection With Robust Alarm Strategy for Online Evaluation of Bearing Early Fault Occurrence. IEEE Trans. Instrum. Meas. Wentao Mao, Huadong Shi, Gangsheng Wang, Xihui Liang
2021	J	`jnl`	A New Deep Dual Temporal Domain Adaptation Method for Online Detection of Bearings Early Fault. Entropy Wentao Mao, Bin Sun, Liyun Wang
2021	J	`jnl`	A New Structured Domain Adversarial Neural Network for Transfer Fault Diagnosis of Rolling Bearings Under Different Working Conditions. IEEE Trans. Instrum. Meas. Wentao Mao, Yamin Liu, Ling Ding, Ali Safian, Xihui Liang
2021	J	`jnl`	A New Unsupervised Online Early Fault Detection Framework of Rolling Bearings Based on Granular Feature Forecasting. IEEE Access Keying Liu, Wentao Mao, Huadong Shi, Xihui Liang
2021	J	`jnl`	Construction of Health Indicators for Rotating Machinery Using Deep Transfer Learning With Multiscale Feature Representation. IEEE Trans. Instrum. Meas. Wentao Mao, Jiaxian Chen, Yuejian Chen, Sajad Saraygord Afshari, Xihui Liang
2021	J	`jnl`	Hybrid Particle Swarm and Grey Wolf Optimizer and its application to clustering optimization. Appl. Soft Comput. Xinming Zhang, Qiuying Lin, Wentao Mao, Shangwang Liu, Zhi Dou, Guoqi Liu
2021	J	`jnl`	Prediction of Bearings Remaining Useful Life Across Working Conditions Based on Transfer Learning and Time Series Clustering. IEEE Access Wentao Mao, Jianliang He, Bin Sun, Liyun Wang
2021	—	`conf`	Research on Key Technologies of Large Data Smart Grid Based on Power Grid Operation Simulation. ICISCAE (IEEE) Hong Zhang, Wentao Mao, Yingzhi Tang, Guorong Wang
2021	J	`jnl`	Three-Dimensional Elastodynamic Analysis Employing Partially Discontinuous Boundary Elements. Algorithms Yuan Li, Ni Zhang, Yuejiao Gong, Wentao Mao, Shiguang Zhang
2020	J	`jnl`	A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching. IEEE Trans. Instrum. Meas. Wentao Mao, Jiaxian Chen, Xihui Liang, Xinming Zhang
2020	J	`jnl`	Failure prediction of tasks in the cloud at an earlier stage: a solution based on domain information mining. Computing Chunhong Liu, Liping Dai, Yi Lai, Guibing Lai, Wentao Mao
2020	J	`jnl`	Improved Laplacian Biogeography-Based Optimization Algorithm and Its Application to QAP. Complex. Xinming Zhang, Doudou Wang, Haiyan Chen, Wentao Mao, Shangwang Liu, Guoqi Liu, Zhi Dou
2020	J	`jnl`	Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning. IEEE Trans. Instrum. Meas. Wentao Mao, Jianliang He, Ming Jian Zuo
2019	J	`jnl`	Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study. IEEE Access Wentao Mao, Yamin Liu, Ling Ding, Yuan Li
2019	J	`jnl`	Lévy Flight Shuffle Frog Leaping Algorithm Based on Differential Perturbation and Quasi-Newton Search. IEEE Access Xinming Zhang, Zihao Fu, Haiyan Chen, Wentao Mao, Shangwang Liu, Guoqi Liu
2019	J	`jnl`	ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction. Entropy Shiguang Zhang, Ting Zhou, Lin Sun, Wei Wang, Chuan Wang, Wentao Mao
2018	—	`conf`	Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder. ICPHM Wentao Mao, Siyu Tian, Xihui Liang, Jianliang He
2018	C	`conf`	Sparse Feature Grouping based on 𝓁 ACC Wentao Mao, Wentao Xu, Yuan Li
2017	J	`jnl`	An ELM-based model with sparse-weighting strategy for sequential data imbalance problem. Int. J. Mach. Learn. Cybern. Wentao Mao, Jinwan Wang, Zhanao Xue
2017	J	`jnl`	Online Extreme Learning Machine with Hybrid Sampling Strategy for Sequential Imbalanced Data. Cogn. Comput. Wentao Mao, Mengxue Jiang, Jinwan Wang, Yuan Li
2017	J	`jnl`	Online sequential prediction of imbalance data with two-stage hybrid strategy by extreme learning machine. Neurocomputing Wentao Mao, Jinwan Wang, Ling He, Yangyang Tian
2016	J	`jnl`	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 Jinwan Wang, Wentao Mao, Liyun Wang, Ling He
2015	J	`jnl`	Multi-dimensional extreme learning machine. Neurocomputing Wentao Mao, Shengjie Zhao, Xiaoxia Mu, Haicheng Wang
2015	B	`conf`	Online sequential classification of imbalanced data by combining extreme learning machine and improved SMOTE algorithm. IJCNN Wentao Mao, Jinwan Wang, Liyun Wang
2015	B	`conf`	Real-time human body parts localization from dynamic vision sensor. ICIP Wentao Mao, Qiang Wang, Xiaotao Wang, Ping Guo, Shandong Wang, Guangqi Shao, Kyoobin Lee, Paul K. J. Park
2014	J	`jnl`	A fast and robust model selection algorithm for multi-input multi-output support vector machine. Neurocomputing Wentao Mao, Jiucheng Xu, Chuan Wang, Longlei Dong
2014	B	`conf`	A new multi-task learning based Wi-Fi location approach using L1/2-norm. IJCNN Wentao Mao, Haicheng Wang, Shangwang Liu
2014	J	`jnl`	Leave-one-out cross-validation-based model selection for multi-input multi-output support vector machine. Neural Comput. Appl. Wentao Mao, Xiaoxia Mu, Yanbin Zheng, Guirong Yan
2014	J	`jnl`	Uncertainty evaluation and model selection of extreme learning machine based on Riemannian metric. Neural Comput. Appl. Wentao Mao, Yanbin Zheng, Xiaoxia Mu, Jinwei Zhao
2013	J	`jnl`	An adaptive support vector regression based on a new sequence of unified orthogonal polynomials. Pattern Recognit. Jinwei Zhao, Guirong Yan, Boqin Feng, Wentao Mao, Junqing Bai
2013	J	`jnl`	Heteroassociative morphological memories based on four-dimensional storage. Neurocomputing Naiqin Feng, Xianfang Wang, Wentao Mao, Lianhui Ao
2013	J	`jnl`	Mixture Regression Estimation based on Extreme Learning Machine. J. Comput. Wentao Mao, Yali Wang, Xizheng Cao, Yanbin Zheng
2013	J	`jnl`	Model selection of extreme learning machine based on multi-objective optimization. Neural Comput. Appl. Wentao Mao, Mei Tian, Xizheng Cao, Jiucheng Xu
2012	—	`conf`	Research of Dynamic Load Identification Based on Extreme Learning Machine. ISNN (1) Wentao Mao, Mei Tian, Guirong Yan, Xianfang Wang
2011	J	`jnl`	Model selection for least squares support vector regressions based on small-world strategy. Expert Syst. Appl. Wentao Mao, Guirong Yan, Longlei Dong, Dike Hu
2010	—	`conf`	Regression Transfer Learning Based on Principal Curve. ISNN (1) Wentao Mao, Guirong Yan, Junqing Bai, Hao Li
2009	—	`conf`	Application of LSSVM-PSO to Load Identification in Frequency Domain. AICI Dike Hu, Wentao Mao, Jinwei Zhao, Guirong Yan
2009	—	`conf`	The Relationship between Generalization Error and the Training Sample Number of SVM. ICNC (1) Junqing Bai, Guirong Yan, Wentao Mao
2009	J	`jnl`	Weighted solution path algorithm of support vector regression based on heuristic weight-setting optimization. Neurocomputing Wentao Mao, Guirong Yan, Longlei Dong
2008	B	`conf`	Pre-extracting method for SVM classification based on the non-parametric K-NN rule. ICPR Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wentao Mao