Selected Articles in Journals
(* Student)
J18. Zong, Yuwei*, Sobhan Badakhshan, Jie Zhang, and Yanwen Xu. “Trustworthy Uncertainty Quantification via Distributionally-Robust Dual Adaptive Conformal Prediction.” Journal of Mechanical Design (2025): 1-19.
J17. Wu, Hao, and Yanwen Xu. “Sequential surrogate modeling for inverse design with conformal inference-based uncertainty quantification.” Reliability Engineering & System Safety (2025): 111782.
J16. Xu, Yanwen, Parth Bansal, Pingfeng Wang, and Yumeng Li. “Physics-informed machine learning for system reliability analysis and design with partially observed information.” Reliability Engineering & System Safety 254 (2025): 110598.
J15. Liu, Zheng, Yanwen Xu, Yuan Jiang, Anabel Renteria, Parth Bansal, Chenlong Xu, Pingfeng Wang, and Yumeng Li. “Uncertainty quantification of additively manufactured architected cellular materials for energy absorption applications.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 11, no. 3 (2025): 031204.
J14. Rodriguez, Aaron, Yanwen Xu, Sara Kohtz, and Anabel Renteria. “Design optimization of additively manufactured anisotropic piezoelectric lattice structures by Gaussian process modeling.” MRS Communications (2025): 1-8.
J13. Zhao, Zilong, Guoquan Lv, and Yanwen Xu. “Facilitate the design of residential PV using reliability-based design optimization.” Renewable Energy 240 (2025): 122144.
J12. Xu, Yanwen, Hao Wu, Zheng Liu, Pingfeng Wang, and Yumeng Li. “Multi-task learning for design under uncertainty with multi-fidelity partially observed information.” Journal of Mechanical Design 146, no. 8 (2024): 081704.
J11. Zhao, Zilong, Guoquan Lv, Yanwen Xu, Yu-Feng Lin, Pingfeng Wang, and Xinlei Wang. “Enhancing ground source heat pump system design optimization: A stochastic model incorporating transient geological factors and decision variables.” Renewable Energy 225 (2024): 120279.
J10. Kohtz, Sara, Junhan Zhao, Anabel Renteria, Anand Lalwani, Yanwen Xu, Xiaolong Zhang, Kiruba Sivasubramaniam Haran, Debbie Senesky, and Pingfeng Wang. “Optimal sensor placement for permanent magnet synchronous motor condition monitoring using a digital twin-assisted fault diagnosis approach.” Reliability Engineering & System Safety 242 (2024): 109714.
J9. Wu, Hao, Yanwen Xu, Zheng Liu, Yumeng Li, and Pingfeng Wang. “Adaptive machine learning with physics-based simulations for mean time to failure prediction of engineering systems.” Reliability Engineering & System Safety 240 (2023): 109553.
J8. Xu, Yanwen, and Pingfeng Wang. “Sequential Sampling-Based Asymptotic Probability Estimation of High-Dimensional Rare Events.” Journal of Mechanical Design 145, no. 10 (2023): 101701..
J7. Xu, Yanwen, Sara Kohtz, Jessica Boakye, Paolo Gardoni, and Pingfeng Wang. “Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges.” Reliability Engineering & System Safety 230 (2023): 108900.
J6. Xu, Yanwen, Anand Vikas Lalwani, Kanika Arora, Zhuoyuan Zheng, Anabel Renteria, Debbie G. Senesky, and Pingfeng Wang. “Hall-effect sensor design with physics-informed gaussian process modeling.” IEEE Sensors Journal 22, no. 23 (2022): 22519-22528.
J5. Xu, Yanwen, Anabel Renteria, and Pingfeng Wang. “Adaptive surrogate models with partially observed information.” Reliability Engineering & System Safety 225 (2022): 108566.
J4. Kohtz, Sara, Yanwen Xu, Zhuoyuan Zheng, and Pingfeng Wang. “Physics-informed machine learning model for battery state of health prognostics using partial charging segments.” Mechanical Systems and Signal Processing 172 (2022): 109002.
J3. Zhao, Zilong, Yanwen Xu, Yu-Feng Lin, Xinlei Wang, and Pingfeng Wang. “Probabilistic modeling and reliability-based design optimization of a ground source heat pump system.” Applied Thermal Engineering 197 (2021): 117341.
J2. Zheng, Zhuoyuan, Yanwen Xu, and Pingfeng Wang. “Uncertainty quantification analysis on mechanical properties of the structured silicon anode via surrogate models.” Journal of The Electrochemical Society 168, no. 4 (2021): 040508.
J1. Zheng, Zhuoyuan, Bo Chen, Yanwen Xu, Nathan Fritz, Yashraj Gurumukhi, John Cook, Mehmet N. Ates, Nenad Miljkovic, Paul V. Braun, and Pingfeng Wang. “A Gaussian process-based crack pattern modeling approach for battery anode materials design.” Journal of Electrochemical Energy Conversion and Storage 18, no. 1 (2021).
Full-length Peer-Reviewed Conference Publications
(* Student)
C30. Zong, Yuwei*, Sobhan Badakhshan, Jie Zhang, and Xu, Yanwen. “Dual Adaptive Conformal Prediction: Enhancing Coverage And Stability In Uncertainty Quantification.” In ASME International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2025.
C29. Zhao, Jiayi, Yanwen Xu, and Pingfeng Wang. “Adaptive Surrogate Modeling for High Dimensional Problems Using Autoencoder Gaussian Process.” In ASME International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2025.
C28. Esquivel, Stephanie, Aaron Rodriguez, Yuwei Zong*, Asahel Marinelarena-Diaz, Yanwen Xu, and Anabel Renteria. “Additive Manufacturing of Auxetic Tactile Piezoelectric Biosensors: A Data-Driven Approach for Optimization.” In ASME International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2025.
C27. Xu, Yanwen, W. Neal Mann, Akintomide Afolayan Akinsanola, Todd Levin, Pingfeng Wang, and Zhi Zhou. ” Bridging the Data Gap: Integrating Climate Projections into Grid Planning for Weather-Driven Events.” IEEE Power & Energy Society General Meeting, Austin, TX, July 27-31, 2025.
C26. Zong, Yuwei*, Sobhan Badakhshan, Jie Zhang, and Xu, Yanwen. “An Uncertainty Quantification Approach to Safer Integrated Energy Systems.” 2025 ANS Annual Conference, Chicago, IL, June 15-18, 2025.
C25. Yang, Xingyue*, Yuyan Liu, and Xu, Yanwen. ” Dual-Horizon Deep Learning for Time-Series Battery Health Prediction.” In IISE Annual Conference. Proceedings. Institute of Industrial and Systems Engineers (IISE), 2025.
C24. Xu, Yanwen. “Efficient Reliability Analysis: Debiasing Machine Learning with Partial Data.” In 2025 Annual Reliability and Maintainability Symposium (RAMS), pp. 1-6. IEEE, 2025.
C23. Xu, Yanwen, Shengxiang Wu, and Xuehui Chao. “Debiased Gaussian Process-based Machine Learning with Partially Observed Information.” Proceedings of the 50th Hawaii International Conference on System Sciences, 2025.
C22. Coaty, Jacob*, Hao Wu, Majid Minary, and Yanwen Xu. “Active machine learning empowered digital twin modeling for heat sink design.” In ASME International Mechanical Engineering Congress and Exposition, vol. 88599, p. V001T02A025. American Society of Mechanical Engineers, 2024.
C21. Xu, Yanwen, Yulun Wu, Yumeng Li, and Pingfeng Wang. “Multitask Modeling for Reliability Analysis and Design with Partial Information.” In 2024 Annual Reliability and Maintainability Symposium (RAMS), pp. 1-6. IEEE, 2024.
C20. Zhao, Zilong, Guoquan Lv, Yanwen Xu, Y. Lin, Pingfeng Wang, and Xinlei Wang. “A Stochastic Optimization Model for a Ground Source Heat Pump System with Uncertainty Quantifications on Transient Geologic Variables.” In Proceedings, 49th Workshop on Geothermal Reservoir Engineering, Stanford University. SGP-TR-227. 2024.
C19. Xu, Yanwen. “Surrogate model approach for efficient conformal prediction approximation.” In IISE Annual Conference. Proceedings, pp. 1-6. Institute of Industrial and Systems Engineers (IISE), 2024.
C18. Abreu, Julia Franco, Costa, Alvaro M., Costa, Pedro V. M., Miranda, Antônio C. O., Tassinari, Colombo C. G., Weber, Nathália, Assi, Gustavo, Meneghini, Júlio, Nishimoto, Kazuo, Ebecken, Nelson Francisco Favilla, Wang, Pingfeng, Hamdan, Bayan, Marquez, Anabel Renteria, and Yanwen Xu. “Large-scale of Hydrogen underground storage in salt caverns: the future of sustainable energy storage.” In ARMA/DGS/SEG International Geomechanics Symposium, pp. ARMA-IGS. ARMA, 2023.
C17. Liu, Zheng, Yanwen Xu, Hao Wu, Pingfeng Wang, and Yumeng Li. “Data-driven control co-design for indirect liquid cooling plate with microchannels for battery thermal management.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 87301, p. V03AT03A048. American Society of Mechanical Engineers, 2023.
C16. Renteria, Anabel, Yanwen Xu, Bayan Hamdan, Zhou Li, Sergio Cordero, Debbie G. Senesky, and Pingfeng Wang. “Data-Driven Design of High Electron Mobility Transistor Devices Using Physics-Informed Gaussian Process Modeling.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 87318, p. V03BT03A014. American Society of Mechanical Engineers, 2023.
C15. Wu, Hao, Yanwen Xu, Zheng Liu, and Pingfeng Wang. “Mean Time to Failure Prediction for Complex Systems With Adaptive Surrogate Modeling.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 87301, p. V03AT03A051. American Society of Mechanical Engineers, 2023.
C14. Xu, Yanwen, Hao Wu, Zheng Liu, and Pingfeng Wang. “Multi-Task Multi-Fidelity Machine Learning for Reliability-Based Design With Partially Observed Information.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 87318, p. V03BT03A036. American Society of Mechanical Engineers, 2023.
C13. Xu, Yanwen, and Pingfeng Wang. “Physics-constrained machine learning for reliability-based design optimization.” In 2023 Annual reliability and maintainability symposium (RAMS), pp. 1-6. IEEE, 2023.
C12. Xu, Yanwen, Zhuoyuan Zheng, Kanika Arora, Debbie G. Senesky, and Pingfeng Wang. “Hall Effect Sensor Design Optimization With Multi-Physics Informed Gaussian Process Modeling.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 86236, p. V03BT03A028. American Society of Mechanical Engineers, 2022.
C11. Zheng, Zhuoyuan, Yanwen Xu, Bayan Hamdan, Sara Kohtz, Pedro VM Costa, Alvaro M. Costa, Carlos HB Morais, and Pingfeng Wang. “Reliability-based optimization of offshore salt caverns for CO2 abatement.” In International design engineering technical conferences and computers and information in engineering conference, vol. 86229, p. V03AT03A024. American Society of Mechanical Engineers, 2022.
C10. Xu, Yanwen, and Pingfeng Wang. “Hierarchical surrogate modeling with multiple order partially observed information.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 86236, p. V03BT03A025. American Society of Mechanical Engineers, 2022.
C9. Xu, Yanwen, and Pingfeng Wang. “Reliability Analysis with Partially Observed Information.” In 2022 Annual Reliability and Maintainability Symposium (RAMS), pp. 1-6. IEEE, 2022.
C8. Xu, Yanwen, and Pingfeng Wang. “Adaptive surrogate models for uncertainty quantification with partially observed information.” In AIAA SCITECH 2022 Forum, p. 1439. 2022.
C7. Xu, Yanwen, and Pingfeng Wang. “An enhanced squared exponential kernel with Manhattan similarity measure for high dimensional Gaussian process models.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 85390, p. V03BT03A025. American Society of Mechanical Engineers, 2021.
C6. Xu, Yanwen, and Pingfeng Wang. “CVaR formulation of reliability-based design problems considering the risk of extreme failure events.” In 2021 Annual Reliability and Maintainability Symposium (RAMS), pp. 1-5. IEEE, 2021.
C5. Xu, Yanwen, and Pingfeng Wang. “Sequential sampling based reliability analysis for high dimensional rare events with confidence intervals.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 84010, p. V11BT11A039. American Society of Mechanical Engineers, 2020.
C4. Xu, Yanwen, and Pingfeng Wang. “Rare event estimation of high dimensional problems with confidence intervals.” In IIE Annual Conference. Proceedings, pp. 31A-36A. Institute of Industrial and Systems Engineers (IISE), 2020.
C3. Zheng, Zhuoyuan, Yanwen Xu, Bo Chen, and Pingfeng Wang. “Gaussian process based crack initiation modeling for design of battery anode materials.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 59186, p. V02AT03A054. American Society of Mechanical Engineers, 2019.
C2. Xu, Yanwen, and Pingfeng Wang. “A comparison of numerical optimizers in developing high dimensional surrogate models.” In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 59193, p. V02BT03A037. American Society of Mechanical Engineers, 2019.
C1. Xu, Yanwen. “Hybrid adaptive sequential sampling for reliability-based design optimization.” PhD diss., University of Illinois at Urbana-Champaign, 2019.