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ORCIDJie Liu 0005
Person information
- affiliation: University of Paris-Saclay, CentraleSupélec, Chatenay-Malabry, France
Other persons with the same name
- Jie Liu — disambiguation page
- Jie Liu 0001
![[0000-0001-6209-6886]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6209-6886")
— Harbin Institute of Technology, AI Research Institute, Harbin, China (and 3 more) - Jie Liu 0002 — National University of Defense Technology, Changsha, China
- Jie Liu 0003 — National University of Singapore, Singapore
- Jie Liu 0004 — Fourth Military Medical University, Tangdu Hospital, Xi'an, China (and 1 more)
- Jie Liu 0006 — University of Washington, Seattle, WA, USA (and 1 more)
- Jie Liu 0007 — Nankai University, Tianjin, China
- Jie Liu 0008 — State Key Laboratory of Computer Science, Beijing, China (and 2 more)
- Jie Liu 0009 — Xi'an University of Science and Technology, College of Science, Xi'an, China (and 1 more)
- Jie Liu 0010 — Huazhong Agriculture University, Wuhan, China
- Jie Liu 0011 — Naval Aeronautical and Astronautical University, Yantai, China
- Jie Liu 0012 — North China University of Technology, Inverter Technologies Engineering Research Center of Beijing, China
- Jie Liu 0013 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China (and 1 more)
- Jie Liu 0014 — Jilin University, College of Computer Science and Technology / MOE Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
- Jie Liu 0015 — Northwestern Polytechnical University, School of Aeronautics, Xi'an, China (and 4 more)
- Jie Liu 0016 — China University of Petroleum, College of Computer and Communication Engineering, Qingdao, China
- Jie Liu 0017 — Huazhong University of Science and Technology, School of Hydropower and Information Engineering, Wuhan, China (and 1 more)
- Jie Liu 0018 — University of Notre Dame, Department of Electrical Engineering, Notre Dame, IN, USA
- Jie Liu 0019 — Baicheng Ordnance Test Center of China, Department of Tes, Baicheng, China
- Jie Liu 0020 — University of New South Wales, Sydney, Australia
- Jie Liu 0022 — Capital Normal University, Department of Information Engineering, Beijing, China
- Jie Liu 0023 — Railway Engineering Research Institute, China Academic of Railway Science Corporation Ltd., Beijing, China
- Jie Liu 0024 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Jie Liu 0025 — Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China
- Jie Liu 0026 — Western Oregon University, Computer Science Division, Monmouth, OR, USA (and 1 more)
- Jie Liu 0027 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Jie Liu 0028 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Jie Liu 0029 — Chinese Academy of Sciences, Institute of Software, Beijing, China
- Jie Liu 0030 — National Huaqiao University, College of Computer Science and Technology, Xiamen, China
- Jie Liu 0031 — Xi'an University of Technology, School of Printing Packaging and Digital Media, Xi'an, China (and 1 more)
- Jie Liu 0032 — Chinese Academy of Sciences, Institute of Modern Physics, Lanzhou, China
- Jie Liu 0033 — Shandong University of Science and Technology, College of Electrical Engineering and Automation, Qingdao, China
- Jie Liu 0034 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Jie Liu 0035 — Peking University, National Engineering Laboratory for Video Technology, Beijing, China
- Jie Liu 0036 — Lehigh University, Department of Industrial and Systems Engineering, Bethlehem, PA, USA
- Jie Liu 0037 — Nanjing ChangFeng Aerospace Electronic Technology Co., Nanjing, China (and 1 more)
- Jie Liu 0038 — Harbin Institute of Technology, School of Computer Science and Technology, Weihai, China
- Jie Liu 0039 — Shenyang Normal University, Software College, China
- Jie Liu 0040 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Jie Liu 0041 — Dalian Medical University, Second Hospital, Department of Anesthesiology, China
- Jie Liu 0042 — Xidian University, School of Electronic Engineering, China
- Jie Liu 0043 — University of Amsterdam, The Netherlands
- Jie Liu 0044 — City University of Hong Kong, Department of Electrical Engineering, Hong Kong
- Jie Liu 0045 — University of Michigan, Department of Computational Medicine and Bioinformatics, Electrical Engineering and Computer Science, MI, USA (and 1 more)
- Jie Liu 0046 — Monash University, Australia
- Jie Liu 0047 — Chinese University of Hong Kong, CUHK, MMLab, Hong Kong (and 1 more)
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Journal Articles
- 2024
[j30]Shuwen Zheng, Chong Wang, Enrico Zio, Jie Liu:
Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths. Reliab. Eng. Syst. Saf. 243: 109872 (2024)- [j29]Shuwen Zheng, Kai Pan, Jie Liu, Yunxia Chen:
Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems. Reliab. Eng. Syst. Saf. 252: 110382 (2024) - [j28]Jie Liu, Yubo Xu, Yishu Chen:
Causality-Based PCA Methods for Condition Modeling of Mechatronic Systems. IEEE Trans. Ind. Informatics 20(2): 1231-1239 (2024) - 2023
- [j27]Longyan Tan, Tingting Huang, Jie Liu, Qian Li, Xin Wu:
Deep adversarial learning system for fault diagnosis in fused deposition modeling with imbalanced data. Comput. Ind. Eng. 176: 108887 (2023) - [j26]Chong Wang, Jie Liu:
Fault diagnosis for high-speed train braking system based on disentangled causal representation learning. Expert Syst. J. Knowl. Eng. 40(3) (2023) - [j25]Dan Xu, Xiaoqi Xiao, Jie Liu, Shaobo Sui:
Spatio-temporal degradation modeling and remaining useful life prediction under multiple operating conditions based on attention mechanism and deep learning. Reliab. Eng. Syst. Saf. 229: 108886 (2023) - [j24]Jie Liu, Shuwen Zheng, Chong Wang:
Causal Graph Attention Network with Disentangled Representations for Complex Systems Fault Detection. Reliab. Eng. Syst. Saf. 235: 109232 (2023) - [j23]Xin Wu, Tingting Huang, Jie Liu:
Common stochastic effects induced multivariate degradation process with temporal dependency in degradation characteristic and unit dimensions. Reliab. Eng. Syst. Saf. 239: 109505 (2023) - 2022
- [j22]Chong Bian, Shunkun Yang, Jie Liu, Enrico Zio:
Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks. Appl. Soft Comput. 116: 108401 (2022) - [j21]Jie Liu, Yubo Xu:
T-Friedman Test: A New Statistical Test for Multiple Comparison with an Adjustable Conservativeness Measure. Int. J. Comput. Intell. Syst. 15(1): 29 (2022) - [j20]Jie Liu, Yubo Xu, Lisong Wang:
Fault information mining with causal network for railway transportation system. Reliab. Eng. Syst. Saf. 220: 108281 (2022) - [j19]Jie Liu:
Importance-SMOTE: a synthetic minority oversampling method for noisy imbalanced data. Soft Comput. 26(3): 1141-1163 (2022) - 2021
- [j18]Chong Wang, Jie Liu:
An Efficient Anomaly Detection for High-Speed Train Braking System Using Broad Learning System. IEEE Access 9: 63825-63832 (2021) - [j17]Yubo Xu, Jie Liu:
High-speed train fault detection with unsupervised causality-based feature extraction methods. Adv. Eng. Informatics 49: 101312 (2021) - [j16]Jie Liu:
A minority oversampling approach for fault detection with heterogeneous imbalanced data. Expert Syst. Appl. 184: 115492 (2021) - [j15]Jie Liu:
Fuzzy support vector machine for imbalanced data with borderline noise. Fuzzy Sets Syst. 413: 64-73 (2021) - 2020
- [j14]Jie Liu:
First-Order Uncertain Hidden Semi-Markov Process for Failure Prognostics With Scarce Data. IEEE Access 8: 104099-104108 (2020) - [j13]Yinghua Shao, Rui Kang, Jie Liu:
Rolling Bearing Fault Diagnosis Based on the Coherent Demodulation Model. IEEE Access 8: 207659-207671 (2020) - [j12]Hoang-Phuong Nguyen, Jie Liu, Enrico Zio:
A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators. Appl. Soft Comput. 89: 106116 (2020) - 2019
- [j11]Hoang-Phuong Nguyen, Jie Liu, Enrico Zio:
Ensemble of Models for Fatigue Crack Growth Prognostics. IEEE Access 7: 49527-49537 (2019) - [j10]Jie Liu, Enrico Zio:
Integration of feature vector selection and support vector machine for classification of imbalanced data. Appl. Soft Comput. 75: 702-711 (2019) - [j9]Chong Bian, Shunkun Yang, Tingting Huang, Qingyang Xu, Jie Liu, Enrico Zio:
Degradation state mining and identification for railway point machines. Reliab. Eng. Syst. Saf. 188: 432-443 (2019) - 2018
- [j8]Jie Liu, Enrico Zio, Yang Hu:
Particle Filtering for Prognostics of a Newly Designed Product With a New Parameters Initialization Strategy Based on Reliability Test Data. IEEE Access 6: 62564-62573 (2018) - [j7]Jie Liu, Enrico Zio:
A scalable fuzzy support vector machine for fault detection in transportation systems. Expert Syst. Appl. 102: 36-43 (2018) - 2017
- [j6]Jie Liu, Enrico Zio:
SVM hyperparameters tuning for recursive multi-step-ahead prediction. Neural Comput. Appl. 28(12): 3749-3763 (2017) - [j5]Jie Liu, Enrico Zio:
System dynamic reliability assessment and failure prognostics. Reliab. Eng. Syst. Saf. 160: 21-36 (2017) - [j4]Jie Liu, Enrico Zio:
Weighted-feature and cost-sensitive regression model for component continuous degradation assessment. Reliab. Eng. Syst. Saf. 168: 210-217 (2017) - 2016
- [j3]Jie Liu, Enrico Zio:
A SVR-based ensemble approach for drifting data streams with recurring patterns. Appl. Soft Comput. 47: 553-564 (2016) - [j2]Jie Liu, Enrico Zio:
Feature vector regression with efficient hyperparameters tuning and geometric interpretation. Neurocomputing 218: 411-422 (2016) - 2015
- [j1]Jie Liu, Valeria Vitelli, Enrico Zio, Redouane Seraoui:
A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data. IEEE Trans. Reliab. 64(4): 1203-1213 (2015)
Conference and Workshop Papers
- 2018
- [c4]Yan-Fu Li, Jie Liu:
A Bayesian Network Approach for Imbalanced Fault Detection in High Speed Rail Systems. ICPHM 2018: 1-7 - [c3]Jie Liu, Enrico Zio:
KNN-FSVM for Fault Detection in High-Speed Trains. ICPHM 2018: 1-7 - [c2]Hoang-Phuong Nguyen, William Fauriat, Enrico Zio, Jie Liu:
A Data-Driven Approach for Predicting the Remaining Useful Life of Steam Generators. ICSRS 2018: 255-260 - 2017
- [c1]Hoang-Phuong Nguyen, Enrico Zio, Jie Liu:
Model ensemble-based prognostic framework for fatigue crack growth prediction. ICSRS 2017: 327-331
Coauthor Index
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