A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data. - Jie Liu 005; Valeria Vitelli; Enrico Zio; Redouane Seraoui (IEEE Trans. Reliab., 2015)

A SVR-based ensemble approach for drifting data streams with recurring patterns. - Jie Liu 005; Enrico Zio (Appl. Soft Comput., 2016)

Feature vector regression with efficient hyperparameters tuning and geometric interpretation. - Jie Liu 005; Enrico Zio (Neurocomputing, 2016)

Model ensemble-based prognostic framework for fatigue crack growth prediction. - Hoang-Phuong Nguyen; Enrico Zio; Jie Liu 005 (ICSRS, 2017)

SVM hyperparameters tuning for recursive multi-step-ahead prediction. - Jie Liu 005; Enrico Zio (Neural Comput. Appl., 2017)

System dynamic reliability assessment and failure prognostics. - Jie Liu 005; Enrico Zio (Reliab. Eng. Syst. Saf., 2017)

Weighted-feature and cost-sensitive regression model for component continuous degradation assessment. - Jie Liu 005; Enrico Zio (Reliab. Eng. Syst. Saf., 2017)

A Bayesian Network Approach for Imbalanced Fault Detection in High Speed Rail Systems. - Yan-Fu Li; Jie Liu 005 (ICPHM, 2018)

KNN-FSVM for Fault Detection in High-Speed Trains. - Jie Liu 005; Enrico Zio (ICPHM, 2018)

A Data-Driven Approach for Predicting the Remaining Useful Life of Steam Generators. - Hoang-Phuong Nguyen; William Fauriat; Enrico Zio; Jie Liu 005 (ICSRS, 2018)

Particle Filtering for Prognostics of a Newly Designed Product With a New Parameters Initialization Strategy Based on Reliability Test Data. - Jie Liu 005; Enrico Zio; Yang Hu 003 (IEEE Access, 2018)

A scalable fuzzy support vector machine for fault detection in transportation systems. - Jie Liu 005; Enrico Zio (Expert Syst. Appl., 2018)

Ensemble of Models for Fatigue Crack Growth Prognostics. - Hoang-Phuong Nguyen; Jie Liu 005; Enrico Zio (IEEE Access, 2019)

Integration of feature vector selection and support vector machine for classification of imbalanced data. - Jie Liu 005; Enrico Zio (Appl. Soft Comput., 2019)

Degradation state mining and identification for railway point machines. - Chong Bian; Shunkun Yang; Tingting Huang; Qingyang Xu; Jie Liu 005; Enrico Zio (Reliab. Eng. Syst. Saf., 2019)

First-Order Uncertain Hidden Semi-Markov Process for Failure Prognostics With Scarce Data. - Jie Liu 005 (IEEE Access, 2020)

Rolling Bearing Fault Diagnosis Based on the Coherent Demodulation Model. - Yinghua Shao; Rui Kang; Jie Liu 005 (IEEE Access, 2020)

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. - Hoang-Phuong Nguyen; Jie Liu 005; Enrico Zio (Appl. Soft Comput., 2020)

An Efficient Anomaly Detection for High-Speed Train Braking System Using Broad Learning System. - Chong Wang 016; Jie Liu 005 (IEEE Access, 2021)

High-speed train fault detection with unsupervised causality-based feature extraction methods. - Yubo Xu; Jie Liu 005 (Adv. Eng. Informatics, 2021)

A minority oversampling approach for fault detection with heterogeneous imbalanced data. - Jie Liu 005 (Expert Syst. Appl., 2021)

Fuzzy support vector machine for imbalanced data with borderline noise. - Jie Liu 005 (Fuzzy Sets Syst., 2021)

Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks. - Chong Bian; Shunkun Yang; Jie Liu 005; Enrico Zio (Appl. Soft Comput., 2022)

T-Friedman Test: A New Statistical Test for Multiple Comparison with an Adjustable Conservativeness Measure. - Jie Liu 005; Yubo Xu (Int. J. Comput. Intell. Syst., 2022)

Fault information mining with causal network for railway transportation system. - Jie Liu 005; Yubo Xu; Lisong Wang (Reliab. Eng. Syst. Saf., 2022)

Importance-SMOTE: a synthetic minority oversampling method for noisy imbalanced data. - Jie Liu 005 (Soft Comput., 2022)

Spatio-temporal degradation modeling and remaining useful life prediction under multiple operating conditions based on attention mechanism and deep learning. - Dan Xu 004; Xiaoqi Xiao; Jie Liu 005; Shaobo Sui (Reliab. Eng. Syst. Saf., 2023)

Deep adversarial learning system for fault diagnosis in fused deposition modeling with imbalanced data. - Longyan Tan; Tingting Huang; Jie Liu 005; Qian Li; Xin Wu (Comput. Ind. Eng., 2023)

Fault diagnosis for high-speed train braking system based on disentangled causal representation learning. - Chong Wang 016; Jie Liu 005 (Expert Syst. J. Knowl. Eng., 2023)

Causal Graph Attention Network with Disentangled Representations for Complex Systems Fault Detection. - Jie Liu 005; Shuwen Zheng; Chong Wang 016 (Reliab. Eng. Syst. Saf., 2023)

Common stochastic effects induced multivariate degradation process with temporal dependency in degradation characteristic and unit dimensions. - Xin Wu; Tingting Huang; Jie Liu 005 (Reliab. Eng. Syst. Saf., 2023)

Causality-based adversarial attacks for robust GNN modelling with application in fault detection. - Jie Liu 005; Zihan He; Yonghao Miao (Reliab. Eng. Syst. Saf., 2024)

Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems. - Shuwen Zheng; Kai Pan; Jie Liu 005; Yunxia Chen (Reliab. Eng. Syst. Saf., 2024)

Causality-Based PCA Methods for Condition Modeling of Mechatronic Systems. - Jie Liu 005; Yubo Xu; Yishu Chen (IEEE Trans. Ind. Informatics, 2024)

Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths. - Shuwen Zheng; Chong Wang 016; Enrico Zio; Jie Liu 005 (Reliab. Eng. Syst. Saf., 2024)

USVDD: A one-class outlier detection method with imprecisely- observed data. - Jingyu Liang; Jie Liu 005 (Appl. Soft Comput., 2025)

Causal graph-based spatial-temporal attention network for RUL prediction of complex systems. - Shuwen Zheng; Jie Liu 005; Yunxia Chen; Yu Fan; Dan Xu 001 (Comput. Ind. Eng., 2025)

Causality-guided fault diagnosis under visual interference in fused deposition modeling. - Qian Li; Tingting Huang; Jie Liu 005; Shanggang Wang (Eng. Appl. Artif. Intell., 2025)

Remaining Useful Life Prediction via a Double Convolutional Attention-Based CNN-GRU Model. - Yonghao Miao; Yu Xia; Jie Liu 005 (IEEE Trans. Instrum. Meas., 2025)

Counterfactual Data Generation Method for Fault Diagnosis of Complex Electromechanical Systems. - Chong Wang 016; Jie Liu 005; Junwei Cao; Xi Chen; Lihua Chen; Yindong Ji (IEEE Trans. Instrum. Meas., 2025)

Anomaly Detection Method for Complex Systems Based on a Domain-Adaptive Causal Decoupling Model. - Chong Wang 016; Jie Liu 005 (IEEE Trans. Ind. Informatics, 2025)

Fault Detection Based on Causal Discovery and Graph Convolutional Network for Complex Mechatronic Systems. - Chong Wang 016; Jie Liu 005 (IEEE Trans. Reliab., 2025)