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2020 – today
- 2024
[j22]Jichao Zhuang
, Yudong Cao, Yifei Ding, Minping Jia, Ke Feng:
An autoregressive model-based degradation trend prognosis considering health indicators with multiscale attention information. Eng. Appl. Artif. Intell. 131: 107868 (2024)- [j21]Hongtao Zheng, Yifei Ding, Zilong Wang, Xinyan Huang:
SegLD: Achieving universal, zero-shot and open-vocabulary segmentation through multimodal fusion via latent diffusion processes. Inf. Fusion 111: 102509 (2024) - [j20]Yifei Ding, Yudong Cao, Minping Jia, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee:
Deep temporal-spectral domain adaptation for bearing fault diagnosis. Knowl. Based Syst. 299: 111999 (2024) - [j19]Yifei Ding, Minping Jia, Yudong Cao, Xiaoan Yan, Xiaoli Zhao, Chi-Guhn Lee:
Unsupervised Fault Detection With Deep One-Class Classification and Manifold Distribution Alignment. IEEE Trans. Ind. Informatics 20(2): 1313-1323 (2024) - 2023
- [j18]Yifei Ding, Minping Jia, Yudong Cao, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee:
Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions. Knowl. Based Syst. 261: 110199 (2023) - [j17]Yifei Ding, Minping Jia, Jichao Zhuang, Yudong Cao, Xiaoli Zhao, Chi-Guhn Lee:
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions. Reliab. Eng. Syst. Saf. 230: 108890 (2023) - [j16]Yudong Cao, Minping Jia, Peng Ding, Xiaoli Zhao, Yifei Ding:
Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data. IEEE Trans. Ind. Informatics 19(4): 6234-6245 (2023) - [j15]Xiaoli Zhao, Jianyong Yao, Wenxiang Deng, Peng Ding, Yifei Ding, Minping Jia, Zheng Liu:
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6339-6353 (2023) - 2022
- [j14]Peng Ding, Minping Jia, Yifei Ding, Yudong Cao, Xiaoli Zhao:
Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data. Adv. Eng. Informatics 53: 101691 (2022) - [j13]Yifei Ding, Minping Jia, Jichao Zhuang, Peng Ding:
Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation. Appl. Soft Comput. 127: 109271 (2022) - [j12]Yifei Ding, Jichao Zhuang, Peng Ding, Minping Jia:
Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings. Reliab. Eng. Syst. Saf. 218(Part): 108126 (2022) - [j11]Yifei Ding, Minping Jia:
Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j10]Peng Ding, Minping Jia, Jichao Zhuang, Yifei Ding, Yudong Cao, Xiaoli Zhao, Chi-Guhn Lee:
Multiobjective Evolution Enhanced Collaborative Health Monitoring and Prognostics: A Case Study of Bearing Life Test With Three-Axis Acceleration Signals. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - 2021
- [j9]Yifei Ding, Minping Jia, Qiuhua Miao, Peng Huang:
Remaining useful life estimation using deep metric transfer learning for kernel regression. Reliab. Eng. Syst. Saf. 212: 107583 (2021) - [j8]Yudong Cao, Yifei Ding, Minping Jia, Rushuai Tian:
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings. Reliab. Eng. Syst. Saf. 215: 107813 (2021) - [j7]Jichao Zhuang, Minping Jia, Yifei Ding, Peng Ding:
Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors. Reliab. Eng. Syst. Saf. 216: 107946 (2021) - [j6]Yifei Ding, Peng Ding, Minping Jia:
A Novel Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Transfer Auto-Encoder. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j5]Yifei Ding, Minping Jia, Yudong Cao:
Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j4]Peng Ding, Minping Jia, Yifei Ding, Xiaoli Zhao:
Statistical Alignment-Based Metagated Recurrent Unit for Cross-Domain Machinery Degradation Trend Prognostics Using Limited Data. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [c4]Shaobo Zhang, Liujie Yuan, Yuxing Li, Wenli Chen, Yifei Ding:
A High-Availability K-modes Clustering Method Based on Differential Privacy. ICA3PP (2) 2021: 274-283 - [i1]Yifei Ding, Minping Jia, Qiuhua Miao, Yudong Cao:
A novel Time-frequency Transformer and its Application in Fault Diagnosis of Rolling Bearings. CoRR abs/2104.09079 (2021)
2010 – 2019
- 2019
- [j3]Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh:
Domain agnostic online semantic segmentation for multi-dimensional time series. Data Min. Knowl. Discov. 33(1): 96-130 (2019) - [j2]Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh:
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series. Data Min. Knowl. Discov. 33(6): 1981-1982 (2019) - 2018
- [j1]Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh:
Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. Data Min. Knowl. Discov. 32(1): 83-123 (2018) - 2017
- [c3]Shaghayegh Gharghabi, Yifei Ding, Chin-Chia Michael Yeh, Kaveh Kamgar, Liudmila Ulanova, Eamonn J. Keogh:
Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. ICDM 2017: 117-126 - [c2]Yifei Ding, Eamonn J. Keogh:
Query Suggestion to allow Intuitive Interactive Search in Multidimensional Time Series. SSDBM 2017: 18:1-18:11 - 2016
- [c1]Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh:
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. ICDM 2016: 1317-1322
Coauthor Index
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