Rare-event simulations for exponential integrals of smooth Gaussian processes. - Jingchen Liu; Gongjun Xu (WSC, 2012)

Uniformly efficient simulation for tail probabilities of gaussian random fields. - Gongjun Xu (WSC, 2014)

Rare-Event Simulation for the Stochastic Korteweg-de Vries Equation. - Gongjun Xu; Guang Lin 001; Jingchen Liu (SIAM/ASA J. Uncertain. Quantification, 2014)

Efficient simulations for the exponential integrals of Hölder continuous gaussian random fields. - Jingchen Liu; Gongjun Xu (ACM Trans. Model. Comput. Simul., 2014)

Model based bootstrap methods for interval censored data. - Bodhisattva Sen; Gongjun Xu (Comput. Stat. Data Anal., 2015)

On the Tail Probabilities of Aggregated Lognormal Random Fields with Small Noise. - Xiaoou Li; Jingchen Liu; Gongjun Xu (Math. Oper. Res., 2016)

Rank-based estimation for semiparametric accelerated failure time model under length-biased sampling. - Sy Han Chiou; Gongjun Xu (Stat. Comput., 2017)

Uniformly efficient simulation for extremes of Gaussian random fields. - Xiaoou Li; Gongjun Xu (J. Appl. Probab., 2018)

Estimating tail probabilities of the ratio of the largest eigenvalue to the trace of a Wishart matrix. - Yinqiu He; Gongjun Xu (J. Multivar. Anal., 2018)

Identification and Estimation of Hierarchical Latent Attribute Models. - Yuqi Gu; Gongjun Xu (CoRR, 2019)

Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models. - Yuqi Gu; Gongjun Xu (J. Mach. Learn. Res., 2019)

A Regularization-Based Adaptive Test for High-Dimensional GLMs. - Chong Wu; Gongjun Xu; Xiaotong Shen; Wei Pan (J. Mach. Learn. Res., 2020)

Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression. - Nam-Hee Choi; Kerby Shedden; Gongjun Xu; Xuefei Zhang; Ji Zhu (Technometrics, 2020)

Statistical Inference for Noisy Incomplete Binary Matrix. - Yunxiao Chen; Chengcheng Li; Jing Ouyang; Gongjun Xu (J. Mach. Learn. Res., 2023)

Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data. - Yuqi Gu; Elena E. Erosheva; Gongjun Xu; David B. Dunson (J. Mach. Learn. Res., 2023)

High-Dimensional Inference for Generalized Linear Models with Hidden Confounding. - Jing Ouyang; Kean Ming Tan; Gongjun Xu (J. Mach. Learn. Res., 2023)

Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg. - Sy Han Chiou; Gongjun Xu; Jun Yan 002; Chiung-Yu Huang (J. Stat. Softw., 2023)

tinyBenchmarks: evaluating LLMs with fewer examples. - Felipe Maia Polo; Lucas Weber; Leshem Choshen; Yuekai Sun; Gongjun Xu; Mikhail Yurochkin (ICML, 2024)

Towards Comprehensive Monitoring of Graduate Attribute Development: A Learning Analytics Approach in Higher Education. - Abhinava Barthakur; Jelena Jovanovic 001; Andrew Zamecnik; Vitomir Kovanovic; Gongjun Xu; Shane Dawson (LAK, 2024)

Bridging Human and LLM Judgments: Understanding and Narrowing the Gap. - Felipe Maia Polo; Xinhe Wang; Mikhail Yurochkin; Gongjun Xu; Moulinath Banerjee; Yuekai Sun (CoRR, 2025)