Non-Asymptotic Guarantees for Robust Statistical Learning under (1+ε)-th Moment Assumption. - Lihu Xu; Fang Yao; Qiuran Yao; Huiming Zhang (CoRR, 2022)

Distribution estimation and change-point detection for time series via DNN-based GANs. - Jianya Lu; Yingjun Mo; Zhijie Xiao; Lihu Xu; Qiuran Yao (CoRR, 2022)

Distribution Estimation of Contaminated Data via DNN-based MoM-GANs. - Fang Xie; Lihu Xu; Qiuran Yao; Huiming Zhang (CoRR, 2022)

Approximation of the invariant measure for stable SDE by the Euler-Maruyama scheme with decreasing step-sizes. - Peng Chen; Xinghu Jin; Yimin Xiao; Lihu Xu (CoRR, 2023)

Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption. - Lihu Xu; Fang Yao; Qiuran Yao; Huiming Zhang (J. Mach. Learn. Res., 2023)

Error estimates between SGD with momentum and underdamped Langevin diffusion. - Arnaud Guillin; Yu Wang; Lihu Xu; Haoran Yang (CoRR, 2024)

An Approximation to the Invariant Measure of the Limiting Diffusion of G/Ph/n + GI Queues in the Halfin-Whitt Regime and Related Asymptotics. - Xinghu Jin; Guodong Pang; Lihu Xu; Xin Xu (Math. Oper. Res., 2025)

Phase transition in the EM scheme of an SDE driven by α-stable noises with α∈(0,2]. - Yu Wang; Yimin Xiao; Lihu Xu (J. Comput. Appl. Math., 2026)