H. Wang, C. Li, Y.F. Li*. 2024. Large-scale visual language model boosted by contrast domain adaptation for intelligent industrial visual monitoring. IEEE Transactions on Industrial Informatics. (In press)
M. Qian#, Y. F. Li*#, H. Wu. 2024 Deep imbalanced separation network: a holistic fault detection framework considering class-imbalance and partial label-unknown. IEEE Transactions on Industrial Informatics. (In press)
H. Wang, Y. F. Li*, T. Men., L. Li. 2024. Physically interpretable wavelet-guided networks with dynamic frequency decomposition for machine intelligence fault prediction. IEEE Transactions on Systems, Man, and Cybernetics: Systems. (In press)
Y. F. Li, H. Wang, M. Sun. 2023. ChatGPT-like large-scale foundation models for Prognostics and Health Management: A survey and roadmaps. Reliability Engineering & System Safety, 109850.
H. Wang, Y. F. Li*, T. Men. 2024. Wavelet integrated CNN with dynamic frequency aggregation for high-speed train wheel wear prediction. IEEE Transactions on Intelligent Transportation Systems. (In press).
Y. Zhang, Y. F. Li*, M. Zhang, H. Wang. 2024. A novel health indicator by dominant invariant subspace on Grassmann manifold for state of health assessment of lithium-ion battery. Engineering Applications of Artificial Intelligence, 130, 107698.
Y. Zhang, Y. F. Li*, M. Zhang, H. Wang. 2024. A novel health indicator by dominant invariant subspace on Grassmann manifold for state of health assessment of lithium-ion battery. Engineering Applications of Artificial Intelligence, 130, 107698.
H. Wang, Y. F. Li*, J. Ren. 2024. Machine learning for fault diagnosis of high-speed train traction systems: A review. Frontiers of Engineering Management. 11(1), 62-78.
H. Wang, M. Sun*, Y.F. Li*. 2024. A brain-inspired spiking network framework based on multi-time-step self-attention for lithium-ion batteries capacity prediction. IEEE Transactions on Consumer Electronics. 70(1), 3008-3017.
H. Wu, Y.F. Li*. 2024. A multi-sensor fusion-based prognostics model for systems with partially observable failure modes. ISE Transactions, 56(6), 624-637.
G. Xin, Q. Zhong, Y. Jin, Z. Li, Y. Chen, Y. F. Li, J. Antoni. 2024. Autonomous bearing fault diagnosis based on fault-induced envelope spectrum and moving peaks-over-threshold approach. IEEE Transactions on Instrumentation and Measurement. (In press)
H. Wang, Y. F. Li*, Y. Zhang 2023. Bioinspired spiking spatiotemporal attention framework for lithium-ion batteries state-of-health estimation. Renewable and Sustainable Energy Reviews. 188, 113728.
H. Wu, Y.F. Li*. 2023. Adaptive graph-based support vector data description for weakly-supervised anomaly detection. IEEE Transactions on Automation Science and Engineering. (In press).
H. Wang, Y. F. Li*. 2023. Bioinspired membrane learnable spiking neural network for autonomous vehicle sensors fault diagnosis under open environments. Reliability Engineering & System Safety. 233, 109102.
H. Wu, Y.F. Li*. 2023. Clustering spatially correlated functional data with multiple scalar covariates. IEEE Transactions on Neural Networks and Learning Systems, 34(10), 7074-7088.
H. Wang, T. Men, Y. F. Li* 2022. Transformer for high-speed train wheel wear prediction with multiplex local–global temporal fusion. IEEE Transactions on Instrumentation and Measurement. 71, 1-12.
Y Zhang, Y. F. Li*. 2022. Prognostics and health management of Lithium-ion battery using deep learning methods: A review. Renewable and Sustainable Energy Reviews. 161, 112282. (ESI highly cited paper top 1%)
T. Han, Y. F. Li*. 2022. Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles. Reliability Engineering & System Safety. 226, 106848. (ESI highly cited paper top 1%)
M. Qian, Y. F. Li*. 2022. A weakly supervised learning-based oversampling framework for class-imbalanced fault diagnosis. IIE Transactions on Reliability. 71(1), 429-442.
M. Qian, Y. F. Li*, T. Han. 2021. Positive-unlabeled learning-based hybrid deep network for intelligent fault detection. IEEE Transactions on Industrial Informatics. 18(7), 4510-4519.
T. Han, Y.F. Li*, M. Qian. 2021. A hybrid generalization network for intelligent fault diagnosis of rotating machinery under unseen working conditions. IEEE Transactions on Instrumentation and Measurement. 70: 3520001. (ESI highly cited paper top 1%)
H. Wu, C. Zhang, Y.F. Li*. 2021. Monitoring heterogeneous multivariate profiles based on heterogeneous graphical model. Technometrics. 64(2), 210-223.
Z. Chi, T. Zhou, S. Huang, Y.F. Li*. 2020. A data-driven approach for the health prognosis of high-speed train wheels. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 234(6), 735-747.
H. Meng, Y.F Li*. 2019. A review on prognostics and health management (PHM) methods of lithium-ion batteries. Renewable and Sustainable Energy Reviews. 116, 109405. (ESI highly cited paper top 1%)
R. Ak, Y.F. Li, V. Vitelli, E Zio. 2018. Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load. International Journal of Electrical Power & Energy Systems. 95, 213-226.
J. Huang, J.W. Keung, F. Sarro, Y.F. Li, Y.T. Yu, W.K. Chan, H. Sun. 2017. Cross-validation based K nearest neighbor imputation for software quality datasets: An empirical study. Journal of Systems and Software. 132, 226-252.
J. Liu, Y.F. Li, E. Zio. 2017. A SVM framework for fault detection of the braking system in a high speed train. Mechanical Systems and Signal Processing. 87, 401-409.
R. Ak, Y.F. Li, V. Vitelli, E. Zio, E. L. Droguett, C. M. C. Jacinto. 2013. NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment. Expert Systems with Applications. 40(4), 1205-1212.
Y.F. Li*, W Zhao, C. Zhang, J. Ye, H. He. 2024. A study on the prediction of service reliability of wireless telecommunication system via distribution regression. Reliability Engineering & System Safety. 250, 110291.
T. Men, B. Liu, Y.F. Li*, Y. H. Lin, Y. Zhang. 2024. Reliability modeling and parameter estimation for high-speed train wheels subject to multi-dimensional degradation processes considering mutual dependency. IEEE Transactions on Reliability. 73(2), 1325-1340.
S. Tang, Z. Zhang, Y. Zhang, J. Zhou, Y. Guo, S. Liu, S. Guo, Y.F. Li, L Ma, Y. Xue, Y. Liu. 2023. A survey on automated driving system testing: Landscapes and trends. ACM Transactions on Software Engineering and Methodology. 32 (5), 1-62.
F. Wang, D. Araújo, Y.F. Li*, 2023. Reliability assessment of autonomous vehicles based on the safety control structure. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 237(2), 389-404.
L. Sun, Y.F. Li*, E. Zio. 2022. Comparison of the HAZOP, FMEA, FRAM, and STPA methods for the hazard analysis of automatic emergency brake systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 8(3):031104 (14 pages).
Y.F. Li*, C. Jia. 2021. An overview of the reliability metrics for power grids and telecommunication networks. Frontiers of Engineering Management, 8(4), 531-544.
S. Jiang, Y.F. Li*. 2021. Dynamic reliability assessment of multi-cracked structure under fatigue loading via multi-state physics model. Reliability Engineering & System Safety. 213, 107664.
Z. Chi, R. Chen, S. Huang, Y.F. Li*, B. Zhou, W. Zhang. 2020. Multi-state system modeling and reliability assessment for groups of highspeed train wheels. Reliability Engineering and System Safety. 202, 107026.
S. Jiang, Y.F. Li. 2020. Time-variant fatigue reliability evaluation of riveted lap joint under stationary random loading. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 234(4), 567-578.
E.M. Larsen, Y. Ding, Y.F. Li, E. Zio. 2020. Definitions of generalized multi-performance multi-state k-out-of-n system and its reliability evaluations. Reliability Engineering & System Safety. 199, 105876.
S. Wang, Y.F. Li*, Y. Wang. 2018. Hybrid uncertainty model for multi-state systems and linear programming-based approximations for reliability assessment. IISE Transactions. 50 (12), 1058- 1075. (Featured article)
Y.H. Lin, Y.F. Li*, E. Zio. 2018. A comparison between Monte Carlo simulation and finite-volume scheme for reliability assessment of multi-state physics systems. Reliability Engineering & System Safety. 174, 1-11.
D. Tellbach, Y.F. Li*. 2018. Cyber-attacks on smart meters in household nanogrid: modeling, simulation and analysis. Energies. 11(2), 316.
I. Abdin, Y.F. Li*, E. Zio. 2017. Risk assessment of power transmission network failures in a uniform pricing electricity market environment. Energy. 138, 1042-1055.
H.D. Mo, Y.F. Li*, E. Zio. 2016. A system-of-systems framework for the reliability analysis of distributed generation system accounting for the impact of degraded communication networks. Applied Energy. 183, 805-822.
Y.H. Lin, Y.F. Li*, E. Zio. 2016. Reliability assessment of systems subject to dependent degradation and random shock processes. IIE Transactions. 48(11), 1072-1085. (Featured article)
Y.H. Lin, Y.F. Li, E. Zio. 2016. A reliability assessment framework for systems with degradation dependency by combining binary decision diagrams and Monte Carlo simulation. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 46(11), 1556-1564.
Y.H. Lin, Y.F. Li, E. Zio. 2016. Component importance measures for components with multiple dependent competing degradation processes and subject to maintenance. IEEE Transactions on Reliability. 65(2), 547-557.
Y.H. Lin, Y.F. Li*, E. Zio. 2015. Fuzzy reliability assessment of systems with multiple dependent competing degradation processes. IEEE Transactions on Fuzzy Systems. 23(5), 1428-1438.
Y.F. Li*, S. Valla, E. Zio. 2015. Reliability assessment of generic geared wind turbines by gtst-mld model and Monte Carlo simulation. Renewable Energy. 83, 222-233.
Y.H. Lin, Y.F. Li*, E. Zio. 2015. Integrating random shocks into multi-state physics models of degradation processes for component reliability assessment. IEEE Transactions on Reliability. 64(1), 154-166.
Y.F. Li, R. Peng. 2014. Availability modeling and optimization of dynamic multi-state series–parallel systems with random reconfiguration. Reliability Engineering & System Safety. 127, 47-57.
Y.F. Li*, Y. Ding, E. Zio. 2014. Random fuzzy extension of the universal generating function approach for the reliability assessment of multi-state systems under aleatory and epistemic uncertainties. IEEE Transactions on Reliability. 63(1), 13 - 25.
Z. Yang, Y.X. Chen, Y.F. Li, E. Zio, R. Kang. 2014. Smart electricity meter reliability prediction based on accelerated degradation testing and modeling. International Journal of Electrical Power & Energy Systems. 56, 209-219.
Y.F. Li*, E. Zio, Y.H. Lin. 2012. A multistate physics model of component degradation based on stochastic petri nets and simulation. IEEE Transactions on Reliability. 61(4), 921-931.
Y.F. Li*, E. Zio. 2012. A multi-state model for the reliability assessment of a distributed generation system via universal generating function. Reliability Engineering & System Safety. 106, 28–36.
Y.F. Li*, E. Zio. 2012. Uncertainty analysis of the adequacy assessment model of a distributed generation system. Renewable Energy. 41, 235-244.
Y. Ding, E. Zio, Y.F. Li, L. Cheng, Q.W. Wu. 2012. Definition of multi-state weighted k-out-of-n: F systems. International Journal of Performability Engineering. 8(2), 217-219.
Y.F. Li, R. Peng. 2015. Service reliability modeling of distributed computing systems with virus epidemics. Applied Mathematical Modelling. 39(18), 5681-5692.
C.T. Lin, Y.F. Li*. 2014. Rate-based queuing simulation model of open source software debugging activities. IEEE Transactions on Software Engineering. 40(11), 1075 – 1099.
Y.S. Dai, Y.P. Xiang, Y.F. Li, L.D. Xing. 2011. Consequence oriented self-healing and autonomous diagnosis for highly reliable systems and software. IEEE Transactions on Reliability. 60(2), 369 – 380.
X. Li, Y.F. Li, M. I. Xie, S.H. Ng. 2011. Reliability analysis and optimal version-updating for open source software. Information and Software Technology. 53(9), 929-936.
R. Peng, Y.F. Li, W.J. Zhang, Q.P. Hu. 2014. Testing effort dependent software reliability model for imperfect debugging process considering both detection and correction. Reliability Engineering & System Safety 126, 37–43.
R. Peng, Y.F. Li*, J.G. Zhang, X. Li. 2015. A risk-reduction approach for optimal software release time determination with the delay penalty cost. International Journal of Systems Science. 46(9), 1628-1637.
H. Zhang, Y.F. Li*, M. Xie, C. Zhang. 2024. Two-stage distributionally robust optimization for joint system design and maintenance scheduling in high-consequence systems. IISE Transactions. 56(8), 793-810.
W. Zheng, H. Zhang, Y.F. Li*. 2024. A systematic approach to the high-level maintenance scheduling for high-speed trains in China. IEEE Transactions on Reliability. 73(1), 142-155.
C.W. Shao, Y.F. Li*, Z. Yang, C.Y. Shen, S.Z. Liu, Z. Yang. 2023. Risk-sharing mechanism design in non-cooperative multi-defender stackelberg defense resources allocation game. IEEE Transactions on Automation Science and Engineering. (In press).
H. Zhang, Y.F. Li*. 2022. Integrated optimization of test case selection and sequencing for reliability testing of the mainboard of Internet backbone routers. European Journal of Operational Research. 299(1), 183-194.
H. Zhang, Y.F. Li*. 2022. Robust optimization on redundancy allocation problems in multi-state and continuous-state series–parallel systems. Reliability Engineering & System Safety, 218, 108134.
J. Xu, Z. Liang, Y.F. Li, K. Wang. 2022. Generalized condition-based maintenance optimization for multi-component systems considering stochastic dependency and imperfect maintenance. Reliability Engineering & System Safety, 211, 107592.
S. Dong, Y Xue, S. Brinkkemper, Y.F. Li. 2022. Multi-objective integer programming approaches to Next Release Problem—Enhancing exact methods for finding whole pareto front. Information and Software Technology, 147, 106825.
C.W. Shao, Y.F. Li*. 2021. Multistage attack-defense graph game analysis for protection resources allocation optimization against cyber attacks considering rationality evolution. Risk Analysis. (In press).
C.W. Shao, Y.F. Li*, 2021. Optimal defense resources allocation for power system based on bounded rationality game theory analysis. IEEE Transactions on Power Systems. vol. 36, no. 5, pp. 4223-4234.
S.Z. Liu, C.W. Shao, Y.F. Li*, Z. Yang, 2021. Game attack-defense graph approach for modeling and analysis of cyberattacks and defenses in local metering system. IEEE Transactions on Automation Science and Engineering. 19(3), 2607-2619.
Y. Xue, Y.F. Li*. 2020. Multi-objective integer programming approaches for solving the multicriteria test-suite minimization problem: towards sound and complete solutions of a particular search-based software-engineering problem. ACM Transactions on Software Engineering and Methodology, 29(3), Article 20.
S.M. Wang, Y.F. Li*, T. Jia. 2020. Distributionally robust design for redundancy allocation. INFORMS Journal on Computing, 32 (3), 620-640.
M. Du, Y.F. Li*. 2020. An investigation of new local search strategies in memetic algorithm for redundancy allocation in multi-state series-parallel systems. Reliability Engineering and System Safety. 195, 106703.
H. Wu, Y.F. Li*. 2020. Optimal inspection and maintenance for a repairable k-out-of-n: G warm standby system. Reliability Engineering & System Safety. 193, 106669.
S. Zhang, M.Y. Du, J.J. Tong, Y.F. Li*. 2019. Multi-objective optimization of maintenance program in multi-unit nuclear power plant sites. Reliability Engineering & System Safety. 188, 532-548.
M.X. Sun, Y.F. Li*, E. Zio. 2019. On the optimal redundancy allocation for multi-state series-parallel systems under epistemic uncertainty. Reliability Engineering & System Safety. 192, 106019.
H. Long, Z.J. Zhang, M.X. Sun, Y.F. Li. 2018. The data-driven schedule of wind farm power generations and required reserves. Energy. 149, 485-495.
Y.H. Lin, Y.F. Li*, E. Zio. 2018. A framework for modeling and optimizing maintenance in systems considering epistemic uncertainty and degradation dependence based on PDMPs. IEEE Transactions on Industrial Informatics. 14(1), 210-220.
R. Mena, M. Hennebel, Y.F. Li, E. Zio. 2016. A multi-objective optimization framework for risk-controlled integration of renewable generation into electric power systems. Energy. 106, 712-727.
R. Rocchetta, Y.F. Li*, E. Zio. 2015. Risk assessment and risk-cost optimization of distributed power generation systems considering extreme weather conditions. Reliability Engineering & System Safety. 136, 47-61.
E. Kuznetsova, C. Ruiz, Y.F. Li, E. Zio. 2015. Analysis of robust optimization for decentralized microgrid energy management under uncertainty. International Journal of Electrical Power & Energy Systems. 64, 815-832.
R. Mena, M. Hennebel, Y.F. Li, C. Ruiz, E. Zio. 2014. A risk-based simulation and multi-objective optimization framework for the integration of distributed renewable generation and storage. Renewable & Sustainable Energy Reviews. 37, 778-793.
R. Mena, M. Hennebel, Y.F. Li, C. Ruiz, E. Zio. 2014. A self-adaptable hierarchical clustering differential evolution approach for optimal integration of renewable distributed generation. Applied Energy. 133, 388-402.
E. Kuznetsova, Y.F. Li, C. Ruiz, E. Zio. 2014. An integrated framework of agent-based modeling and robust optimization for microgrid energy management. Applied Energy. 129, 70 – 88.
R. Mena, N. Pedroni, E. Zio. 2013. A memetic evolutionary multi-objective optimization method for environmental power unit commitment. IEEE Transactions on Power Systems. 28(3), 2660 – 2669.
E. Kuznetsova, Y.F. Li, C.R. Mora, E. Zio, G. Ault, K. Bell. 2013. Reinforcement learning for microgrid energy management. Energy. 59, 133-146.
Y.F. Li*, G. Sansavini, E. Zio. 2013. Non-dominated sorting binary differential evolution for the multi-objective optimization of cascading failures protection in complex networks. Reliability Engineering & System Safety. 111, 195–205.
Y.F. Li*, S.H. Ng, M. Xie, T.N. Goh. 2010. A Systematic Comparison of Metamodeling Techniques for Simulation Optimization in Decision Support Systems. Applied Soft Computing. 10, 1257-1273.
