![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Jie 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
— 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
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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)
2010 – 2019
- 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) - [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
- [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) - [c1]Hoang-Phuong Nguyen
, Enrico Zio, Jie Liu
:
Model ensemble-based prognostic framework for fatigue crack growth prediction. ICSRS 2017: 327-331 - 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)
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-02 20:31 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint