Confidence regions of two-stage stochastic linear complementarity problems. - Yongchao Liu; Wuwenqing Yan; Shengchao Zhao (Int. Trans. Oper. Res., 2022)

Asymptotic properties of dual averaging algorithm for constrained distributed stochastic optimization. - Shengchao Zhao; Xing-Min Chen; Yongchao Liu (Syst. Control. Lett., 2022)

DyGASR: Dynamic Generalized Gaussian Splatting with Surface Alignment for Accelerated 3D Mesh Reconstruction. - Shengchao Zhao; Yundong Li (PRCV (6), 2024)

DyGASR: Dynamic Generalized Exponential Splatting with Surface Alignment for Accelerated 3D Mesh Reconstruction. - Shengchao Zhao; Yundong Li (CoRR, 2024)

Confidence region for distributed stochastic optimization problem via stochastic gradient tracking method. - Shengchao Zhao; Yongchao Liu (Autom., 2024)

Distributed stochastic compositional optimization problems over directed networks. - Shengchao Zhao; Yongchao Liu (Comput. Optim. Appl., 2024)

Asymptotic Properties of $ mathcal {S}$-$ mathcal {AB}$ Method With Diminishing Step-Size. - Shengchao Zhao; Yongchao Liu (IEEE Trans. Autom. Control., 2024)

Numerical methods for distributed stochastic compositional optimization problems with aggregative structure. - Shengchao Zhao; Yongchao Liu (Optim. Methods Softw., 2025)

A Variance-Reduced Aggregation Based Gradient Tracking Method for Distributed Optimization Over Directed Networks. - Shengchao Zhao; Siyuan Song; Yongchao Liu (IEEE Trans. Autom. Control., 2025)