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Xiaoli Zhao 0002
Person information
- affiliation: Nanjing University of Science and Technology, Nanjing, Jiangsu, China
Other persons with the same name
- Xiaoli Zhao — disambiguation page
- Xiaoli Zhao 0001
— Nanjing University of Science and Technology, Nanjing, China - Xiaoli Zhao 0003
— Shanghai University of Engineering Science, Shanghai, China - Xiaoli Zhao 0004
— Southeast University, Nanjing, China
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Journal Articles
- 2025
[j41]Chaoyang Weng
, Baochun Lu
, Longmiao Chen, Xiaoli Zhao
, Wenbo Huang
:
A novel progressive domain separation network with multi-metric ensemble quantification for open set fault diagnosis of motor bearings. Adv. Eng. Informatics 64: 103060 (2025)
[j40]Haidong Shao
, Yiming Xiao, Jiewu Leng, Xiaoli Zhao
, Bin Liu:
Collaborative human-computer fault diagnosis via calibrated confidence estimation. Adv. Eng. Informatics 65: 103349 (2025)
[j39]Jichao Zhuang
, Xiaotong Ding, Zilin Zhang, Xiaoli Zhao
, Weigang Li
, Ke Feng:
Remaining useful life prediction of equipment using a multiobjective optimization reinforced prognostic approach. Comput. Ind. Eng. 204: 111116 (2025)
[j38]Lei Gao, Zhihao Liu, Qinhe Gao, Hongjie Cheng, Jianyong Yao, Xiaoli Zhao
, Sixiang Jia:
Graph isomorphism wavelet convolutional networks for small-sample fault diagnosis of rotating machinery using multi-sensor information fusion. Expert Syst. Appl. 292: 128615 (2025)
[j37]Xiaoli Zhao
, Yibo Song
, Yuanhao Hu
, Xiansong He
, Zhan Zhang, Jian Hu, Jianyong Yao
, Peng Ding
, Ke Feng
:
A New Intelligent Recognition Method for Surface Electromyography in IoT Systems Using OmniXceptionDBN. IEEE Internet Things J. 12(14): 28445-28453 (2025)
[j36]Lei Gao, Qinhe Gao, Zhihao Liu, Hongjie Cheng, Jianyong Yao, Xiaoli Zhao
, Sixiang Jia:
Multiple classifiers inconsistency-based deep adversarial domain generalization method for cross-condition fault diagnosis in rotating systems. Reliab. Eng. Syst. Saf. 260: 111017 (2025)
[j35]Xiansong He
, Chun Zhao
, Shuanglu Li
, Xiaoli Zhao
, Xiaowei Yang
, Yibo Song
, Jianyong Yao
:
Diffusion-Enhanced Dual-Domain Adversarial Network: A Zero-Shot Fault Diagnosis Method for Electrohydrostatic Actuators. IEEE Trans. Instrum. Meas. 74: 1-9 (2025)
[j34]Yuanhao Hu
, Yibo Song
, Xiansong He
, Xiaoli Zhao
, Xiaowei Yang
, Jianyong Yao
, Zhaoqiang Wang
, Hong Pei
, Changhua Hu
:
MAACCN: An Intelligent Decoupling Diagnosis Method for Compound Faults in Electrohydrostatic Actuators. IEEE Trans. Instrum. Meas. 74: 1-11 (2025)- 2024
[j33]Jiahui Liu
, Hao Huang, Yaowen Ge, Xiaoli Zhao
, Wenxiang Deng, Guangfa Gao, Jianyong Yao
:
Thermal Characteristic and Analysis of Electro-Hydrostatic Actuator. IEEE Access 12: 34222-34234 (2024)
[j32]Peng Ding
, Jun Xia, Xiaoli Zhao
, Minping Jia:
Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions. Adv. Eng. Informatics 60: 102360 (2024)
[j31]Yudong Cao
, Minping Jia, Xiaoli Zhao
, Xiaoan Yan, Ke Feng:
Cost-sensitive learning considering label and feature distribution consistency: A novel perspective for health prognosis of rotating machinery with imbalanced data. Expert Syst. Appl. 250: 123930 (2024)
[j30]Xiaoli Zhao
, Xingjun Zhu, Jiahui Liu, Yuanhao Hu, Tianyu Gao, Liyong Zhao, Jianyong Yao, Zheng Liu:
Model-Assisted Multi-source Fusion Hypergraph Convolutional Neural Networks for intelligent few-shot fault diagnosis to Electro-Hydrostatic Actuator. Inf. Fusion 104: 102186 (2024)
[j29]Jichao Zhuang
, Yuejian Chen
, Xiaoli Zhao
, Minping Jia
, Ke Feng
:
A Graph-Embedded Subdomain Adaptation Approach for Remaining Useful Life Prediction of Industrial IoT Systems. IEEE Internet Things J. 11(13): 22903-22914 (2024)
[j28]Yudong Cao
, Qing Ni
, Minping Jia
, Xiaoli Zhao
, Xiaoan Yan
:
Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment. IEEE Internet Things J. 11(16): 27828-27839 (2024)
[j27]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)
[j26]Yudong Cao
, Minping Jia, Xiaoli Zhao
, Xiaoan Yan, Ke Feng:
Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift. Reliab. Eng. Syst. Saf. 241: 109692 (2024)
[j25]Yudong Cao
, Jichao Zhuang, Qiuhua Miao, Minping Jia, Ke Feng, Xiaoli Zhao
, Xiaoan Yan, Peng Ding
:
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence. Reliab. Eng. Syst. Saf. 246: 110079 (2024)
[j24]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
[j23]Yudong Cao
, Minping Jia, Xiaoli Zhao
, Xiaoan Yan
, Zheng Liu
:
Semi-supervised machinery health assessment framework via temporal broad learning system embedding manifold regularization with unlabeled data. Expert Syst. Appl. 222: 119824 (2023)
[j22]Jichao Zhuang
, Yudong Cao, Minping Jia, Xiaoli Zhao
, Qingjin Peng
:
Fault diagnosis of bearings using a two-stage transfer alignment approach with semantic consistency and entropy loss. Expert Syst. Appl. 226: 120274 (2023)
[j21]Jichao Zhuang
, Yudong Cao, Minping Jia, Xiaoli Zhao
, Qingjin Peng
:
Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions. Expert Syst. Appl. 227: 120276 (2023)
[j20]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)
[j19]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)
[j18]Yadong Xu
, Xiaoan Yan
, Ke Feng
, Yongchao Zhang, Xiaoli Zhao
, Beibei Sun
, Zheng Liu
:
Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions. Reliab. Eng. Syst. Saf. 231: 108972 (2023)
[j17]Peng Ding
, Xiaoli Zhao
, Haidong Shao, Minping Jia:
Machinery cross domain degradation prognostics considering compound domain shifts. Reliab. Eng. Syst. Saf. 239: 109490 (2023)
[j16]Xiaoli Zhao
, Xingjun Zhu, Jianyong Yao, Wenxiang Deng, Yudong Cao, Peng Ding
, Minping Jia, Haidong Shao:
Intelligent Health Assessment of Aviation Bearing Based on Deep Transfer Graph Convolutional Networks under Large Speed Fluctuations. Sensors 23(9): 4379 (2023)
[j15]Xiaoli Zhao
, Jianyong Yao
, Wenxiang Deng
, Peng Ding
, Jichao Zhuang
, Zheng Liu
:
Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions. IEEE Trans. Ind. Informatics 19(1): 166-176 (2023)
[j14]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)
[j13]Yudong Cao
, Jichao Zhuang
, Minping Jia
, Xiaoli Zhao
, Xiaoan Yan
, Zheng Liu
:
Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery. IEEE Trans. Instrum. Meas. 72: 1-11 (2023)
[j12]Chaoyang Weng
, Baochun Lu
, Qian Gu
, Xiaoli Zhao
:
A Novel Multisensor Fusion Transformer and Its Application Into Rotating Machinery Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-12 (2023)
[j11]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
[j10]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)
[j9]Jichao Zhuang
, Minping Jia, Xiaoli Zhao
:
An adversarial transfer network with supervised metric for remaining useful life prediction of rolling bearing under multiple working conditions. Reliab. Eng. Syst. Saf. 225: 108599 (2022)
[j8]Jichao Zhuang, Minping Jia
, Yudong Cao, Xiaoli Zhao
:
Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery. Reliab. Eng. Syst. Saf. 226: 108685 (2022)- 2021
[j7]Peng Ding
, Minping Jia, Xiaoli Zhao
:
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics. Appl. Soft Comput. 104: 107211 (2021)
[j6]Xiaoli Zhao
, Minping Jia
, Zheng Liu
:
Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data. IEEE Trans. Ind. Informatics 17(8): 5450-5460 (2021)
[j5]Xiaoli Zhao
, Minping Jia
, Zheng Liu
:
Semisupervised Deep Sparse Auto-Encoder With Local and Nonlocal Information for Intelligent Fault Diagnosis of Rotating Machinery. IEEE Trans. Instrum. Meas. 70: 1-13 (2021)
[j4]Xiaoli Zhao
, Minping Jia
, Junchi Bin
, Teng Wang
, Zheng Liu
:
Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing. IEEE Trans. Instrum. Meas. 70: 1-12 (2021)- 2020
[j3]Xiaoli Zhao
, Minping Jia
, Zheng Liu
:
Fault Diagnosis Framework of Rolling Bearing Using Adaptive Sparse Contrative Auto-Encoder With Optimized Unsupervised Extreme Learning Machine. IEEE Access 8: 99154-99170 (2020)- 2019
[j2]Xiaoli Zhao
, Minping Jia:
A new Local-Global Deep Neural Network and its application in rotating machinery fault diagnosis. Neurocomputing 366: 215-233 (2019)- 2018
[j1]Xiaoli Zhao
, Minping Jia:
Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis. Neurocomputing 315: 447-464 (2018)
Conference and Workshop Papers
- 2016
[c1]Xiaoli Zhao
, Rongzhen Zhao:
A method to integrate KSSOMFA and WKNN together on faults identification of rotating machinery. URAI 2016: 675-680
Coauthor Index

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last updated on 2025-11-17 01:30 CET by the dblp team
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