Professeurs et chercheurs

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Expertises

Statistical Machine Learning Uncertainty Quantification Big Data Problems Bayesian Non-Parametrics, Uncertainty Quantification, Operations Research, Artificial Intelligence

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ResearchGate / SSRN Site personnel

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Xuefei LU

Professeur assistant

Académie : Digitalisation

Centre de recherche : SKEMA Centre for Analytics and Management Science

Localisation : PARIS

email : xuefei.lu@skema.edu

Publications

Carrière

Articles académiques revus

FLOREALE, G., BARALDI, P., LU, X., ROSSETTI, P. et ZIO, E. (2024). Sensitivity Analysis by Differential Importance Measure for Unsupervised Fault Diagnostics. Reliability Engineering and System Safety, 243, pp. 109846.

LU, X. et BORGONOVO, E. (2023). Global Sensitivity Analysis in Epidemiological Modeling. European Journal of Operational Research, 304(1), pp. 9-24.

HAZEN, G., BORGONOVO, E. et LU, X. (2023). Information Density in Decision Analysis. Decision Analysis, 20(2), pp. 85-185-C2.

LU, X., BORGONOVO, E. et RABITTI, G. (2023). Sensitivity Analysis of Pandemic Models Can Support Effective Policy Decisions. Journal of Computational and Graphical Statistics, 32(3), pp. 767-768.

LU, X. et CALABRESE, R. (2023). The Cohort Shapley value to measure fairness in financing small and medium enterprises in the UK. Finance Research Letters, 58(Part C), pp. 104542.

LU, X., XU, M., BARALDI, P. et ZIO, E. (2022). Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors. IEEE Transactions on Intelligent Transportation Systems, 23(12), pp. 23408-23421.

CERVI, E., LU, X., CAMMI, A., DI MAIO, F. et ZIO, E. (2022). Sensitivity-Analysis-Driven Surrogate Model for Molten Salt Reactors Control. Journal of Nuclear Engineering, 3(4), pp. 277 - 294.

LU, X., BARALDI, P. et ZIO, E. (2020). A Data-Driven Framework for Identifying Important Components in Complex Systems. Reliability Engineering and System Safety, 204(107197), pp. 107197.

LU, X., RUDI, A., BORGONOVO, E. et ROSASCO, L. (2020). Faster Kriging: Facing High-Dimensional Simulators. Operations Research, 68(1), pp. 233-249.

ANTONIANO-VILLABOS, I., BORGONOVO, E. et LU, X. (2020). Nonparametric estimation of probabilistic sensitivity measures. Statistics and Computing, 30, pp. 447-467.

BORGONOVO, E., LU, X., PLISCHKE, E. et RAKOVEC, O. (2017). Making the Most Out of a Hydrological Model Data Set: Sensitivity Analyses to Open the Model Black-Box. Water Resources Research, 53(9), pp. 7933-7950.

Actes d’une conférence

LU, X., ANTONELLO, F., BARALDI, P. et ZIO, E. (2019). Data-Driven Identification of Critical Components in Complex Technical Infrastructures Using Bayesian Additive Regression Trees., Proceedings of the 29th European Safety and Reliability Conference, pp. 1-5.

Présentations dans des conférences

LU, X. et BORGONOVO, E. (2024). Unveiling the Path to Desired Predictions: An Interpretability Approach for Black-Box Models. Dans: 2024 SIAM Conference on Uncertainty Quantification. Trieste.

LU, X. et BORGONOVO, E. (2023). What Can a Person Change to Obtain a Desired Prediction? An Interpretability Approach. Dans: 2023 INFORMS Annual Meeting. Phoenix.

LU, X., BORGONOVO, E. et HAZEN, G. (2021). Information Density in Simulation Experiments. Dans: INFORMS Annual Meeting. Anaheim.

LU, X. (2019). Data-Driven Identification of Critical Components in Complex Technical Infrastructures Using Bayesian Additive Regression Trees. Dans: The annual European Safety and Reliability Conference (ESREL). Hannover.

Présentations dans des séminaires de recherche

LU, X. (2024). Unveiling the Path to Desired Predictions: An Explainable Approach for Black-Box Models. Dans: Statistics Seminars at Department of Decision Sciences, Bocconi University. Milan.

Formation

2019 Ph.D. in Statistics, Bocconi University, Italie

2013 MSc in Analytics: Operational Research and Risk Analysis, The University of Manchester, Royaume Uni

Expérience professionnelle

Positions académiques principales

Depuis 2021 Assistant Professor, SKEMA Business School, France

2020 - 2021 Assistant Professor, Management Science and Business Economics Group, University of Edinburgh Business School, Royaume Uni

2018 - 2020 Chercheur postdoctoral, Politecnico di Milano, Italie

Contrats de recherche, prix et distinctions

Prix et distinctions

2024 Clemen-Kleinmuntz Decision Analysis Best Paper Award, The Institute for Operations Research and the Management Sciences (INFORMS), Etats-Unis d'Amérique

FACULTÉ & RECHERCHE

Professeurs et chercheurs

SKEMA Business School

Global BBA, ESDHEM, Programme Grande Ecole, Mastère Spécialisé®, Masters of Science, Formation Continue, Executive MBA, Doctorat, PhD/DBA….