Discussion: "Bayesian Optimal Design of Experiments for Inferring the Statistical Expectation of Expensive Black-Box Functions" (Pandita, P., Bilionis, I., and Panchal, J., 2019. ASME. J. Mech. Des. 141(10): 101404). - Xianliang Gong; Yulin Pan (CoRR, 2021)

An adaptive multi-fidelity framework for safety analysis of connected and automated vehicles. - Xianliang Gong; Shuo Feng 002; Yulin Pan (CoRR, 2022)

A generalized likelihood-weighted optimal sampling algorithm for rare-event probability quantification. - Xianliang Gong; Yulin Pan (CoRR, 2023)

An Adaptive Multi-Fidelity Sampling Framework for Safety Analysis of Connected and Automated Vehicles. - Xianliang Gong; Shuo Feng 002; Yulin Pan (IEEE Trans. Intell. Transp. Syst., 2023)

Multifidelity Bayesian Experimental Design to Quantify Rare-Event Statistics. - Xianliang Gong; Yulin Pan (SIAM/ASA J. Uncertain. Quantification, 2024)