Jie Liu - RankMe

47 papers Journal 43Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A general multivariate gamma process with moment matching estimation for degradation modeling. Reliab. Eng. Syst. Saf. Xin Wu, Tingting Huang, Jie Liu
2026	J	`jnl`	Causality-enhanced system reliability and safety analysis: An overview. Reliab. Eng. Syst. Saf. Shuwen Zheng, Kai Pan, Yunxia Chen, Jie Liu, Enrico Zio
2026	J	`jnl`	Deconfounding enhanced image-based knowledge distillation for fault diagnosis with an application in manufacturing process. Eng. Appl. Artif. Intell. Jianping Zhang, Jie Liu
2026	J	`jnl`	Temporal causal graph-based attention gated recurrent unit for interpretable fault diagnosis in nuclear power plants. Reliab. Eng. Syst. Saf. Jie Liu, Kai Pan, Enrico Zio, Yuantao Yao
2025	J	`jnl`	Anomaly Detection Method for Complex Systems Based on a Domain-Adaptive Causal Decoupling Model. IEEE Trans. Ind. Informatics Chong Wang, Jie Liu
2025	J	`jnl`	BiGraphormer: A Bidirectional Graphormer on Directed Causal Graph for Fault Detection in Complex Systems. IEEE Trans. Reliab. Shuwen Zheng, Jie Liu, Yunxia Chen
2025	J	`jnl`	Causal graph-based spatial-temporal attention network for RUL prediction of complex systems. Comput. Ind. Eng. Shuwen Zheng, Jie Liu, Yunxia Chen, Yu Fan, Dan Xu
2025	J	`jnl`	Causality-guided fault diagnosis under visual interference in fused deposition modeling. Eng. Appl. Artif. Intell. Qian Li, Tingting Huang, Jie Liu, Shanggang Wang
2025	J	`jnl`	Counterfactual Data Generation Method for Fault Diagnosis of Complex Electromechanical Systems. IEEE Trans. Instrum. Meas. Chong Wang, Jie Liu, Junwei Cao, Xi Chen, Lihua Chen, Yindong Ji
2025	J	`jnl`	Fault Detection Based on Causal Discovery and Graph Convolutional Network for Complex Mechatronic Systems. IEEE Trans. Reliab. Chong Wang, Jie Liu
2025	J	`jnl`	Remaining Useful Life Prediction via a Double Convolutional Attention-Based CNN-GRU Model. IEEE Trans. Instrum. Meas. Yonghao Miao, Yu Xia, Jie Liu
2025	J	`jnl`	USVDD: A one-class outlier detection method with imprecisely- observed data. Appl. Soft Comput. Jingyu Liang, Jie Liu
2024	J	`jnl`	Causality-Based PCA Methods for Condition Modeling of Mechatronic Systems. IEEE Trans. Ind. Informatics Jie Liu, Yubo Xu, Yishu Chen
2024	J	`jnl`	Causality-based adversarial attacks for robust GNN modelling with application in fault detection. Reliab. Eng. Syst. Saf. Jie Liu, Zihan He, Yonghao Miao
2024	J	`jnl`	Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems. Reliab. Eng. Syst. Saf. Shuwen Zheng, Kai Pan, Jie Liu, Yunxia Chen
2024	J	`jnl`	Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths. Reliab. Eng. Syst. Saf. Shuwen Zheng, Chong Wang, Enrico Zio, Jie Liu
2023	J	`jnl`	Causal Graph Attention Network with Disentangled Representations for Complex Systems Fault Detection. Reliab. Eng. Syst. Saf. Jie Liu, Shuwen Zheng, Chong Wang
2023	J	`jnl`	Common stochastic effects induced multivariate degradation process with temporal dependency in degradation characteristic and unit dimensions. Reliab. Eng. Syst. Saf. Xin Wu, Tingting Huang, Jie Liu
2023	J	`jnl`	Deep adversarial learning system for fault diagnosis in fused deposition modeling with imbalanced data. Comput. Ind. Eng. Longyan Tan, Tingting Huang, Jie Liu, Qian Li, Xin Wu
2023	J	`jnl`	Fault diagnosis for high-speed train braking system based on disentangled causal representation learning. Expert Syst. J. Knowl. Eng. Chong Wang, Jie Liu
2023	J	`jnl`	Spatio-temporal degradation modeling and remaining useful life prediction under multiple operating conditions based on attention mechanism and deep learning. Reliab. Eng. Syst. Saf. Dan Xu, Xiaoqi Xiao, Jie Liu, Shaobo Sui
2022	J	`jnl`	Fault information mining with causal network for railway transportation system. Reliab. Eng. Syst. Saf. Jie Liu, Yubo Xu, Lisong Wang
2022	J	`jnl`	Importance-SMOTE: a synthetic minority oversampling method for noisy imbalanced data. Soft Comput. Jie Liu
2022	J	`jnl`	Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks. Appl. Soft Comput. Chong Bian, Shunkun Yang, Jie Liu, Enrico Zio
2022	J	`jnl`	T-Friedman Test: A New Statistical Test for Multiple Comparison with an Adjustable Conservativeness Measure. Int. J. Comput. Intell. Syst. Jie Liu, Yubo Xu
2021	J	`jnl`	A minority oversampling approach for fault detection with heterogeneous imbalanced data. Expert Syst. Appl. Jie Liu
2021	J	`jnl`	An Efficient Anomaly Detection for High-Speed Train Braking System Using Broad Learning System. IEEE Access Chong Wang, Jie Liu
2021	J	`jnl`	Fuzzy support vector machine for imbalanced data with borderline noise. Fuzzy Sets Syst. Jie Liu
2021	J	`jnl`	High-speed train fault detection with unsupervised causality-based feature extraction methods. Adv. Eng. Informatics Yubo Xu, Jie Liu
2020	J	`jnl`	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. Hoang-Phuong Nguyen, Jie Liu, Enrico Zio
2020	J	`jnl`	First-Order Uncertain Hidden Semi-Markov Process for Failure Prognostics With Scarce Data. IEEE Access Jie Liu
2020	J	`jnl`	Rolling Bearing Fault Diagnosis Based on the Coherent Demodulation Model. IEEE Access Yinghua Shao, Rui Kang, Jie Liu
2019	J	`jnl`	Degradation state mining and identification for railway point machines. Reliab. Eng. Syst. Saf. Chong Bian, Shunkun Yang, Tingting Huang, Qingyang Xu, Jie Liu, Enrico Zio
2019	J	`jnl`	Ensemble of Models for Fatigue Crack Growth Prognostics. IEEE Access Hoang-Phuong Nguyen, Jie Liu, Enrico Zio
2019	J	`jnl`	Integration of feature vector selection and support vector machine for classification of imbalanced data. Appl. Soft Comput. Jie Liu, Enrico Zio
2018	—	`conf`	A Bayesian Network Approach for Imbalanced Fault Detection in High Speed Rail Systems. ICPHM Yan-Fu Li, Jie Liu
2018	—	`conf`	A Data-Driven Approach for Predicting the Remaining Useful Life of Steam Generators. ICSRS Hoang-Phuong Nguyen, William Fauriat, Enrico Zio, Jie Liu
2018	J	`jnl`	A scalable fuzzy support vector machine for fault detection in transportation systems. Expert Syst. Appl. Jie Liu, Enrico Zio
2018	—	`conf`	KNN-FSVM for Fault Detection in High-Speed Trains. ICPHM Jie Liu, Enrico Zio
2018	J	`jnl`	Particle Filtering for Prognostics of a Newly Designed Product With a New Parameters Initialization Strategy Based on Reliability Test Data. IEEE Access Jie Liu, Enrico Zio, Yang Hu
2017	—	`conf`	Model ensemble-based prognostic framework for fatigue crack growth prediction. ICSRS Hoang-Phuong Nguyen, Enrico Zio, Jie Liu
2017	J	`jnl`	SVM hyperparameters tuning for recursive multi-step-ahead prediction. Neural Comput. Appl. Jie Liu, Enrico Zio
2017	J	`jnl`	System dynamic reliability assessment and failure prognostics. Reliab. Eng. Syst. Saf. Jie Liu, Enrico Zio
2017	J	`jnl`	Weighted-feature and cost-sensitive regression model for component continuous degradation assessment. Reliab. Eng. Syst. Saf. Jie Liu, Enrico Zio
2016	J	`jnl`	A SVR-based ensemble approach for drifting data streams with recurring patterns. Appl. Soft Comput. Jie Liu, Enrico Zio
2016	J	`jnl`	Feature vector regression with efficient hyperparameters tuning and geometric interpretation. Neurocomputing Jie Liu, Enrico Zio
2015	J	`jnl`	A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data. IEEE Trans. Reliab. Jie Liu, Valeria Vitelli, Enrico Zio, Redouane Seraoui