The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models. - Yiling Luo; Xiaoming Huo; Yajun Mei (ISIT, 2022)

Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent. - Yiling Luo; Xiaoming Huo; Yajun Mei (ISIT, 2022)

An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem. - Yiling Xie; Yiling Luo; Xiaoming Huo (CoRR, 2022)

Covariance Estimators for the ROOT-SGD Algorithm in Online Learning. - Yiling Luo; Xiaoming Huo; Yajun Mei (CoRR, 2022)

Improved Rate of First Order Algorithms for Entropic Optimal Transport. - Yiling Luo; Yiling Xie; Xiaoming Huo (AISTATS, 2023)

Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm. - Yiling Xie; Yiling Luo; Xiaoming Huo (Trans. Mach. Learn. Res., 2023)

Stochastic Methods in Model Estimation: New Algorithms and New Properties. - Yiling Luo (2023)

Aspect-based sentiment analysis via multitask learning for online reviews. - Guoshuai Zhao; Yiling Luo; Qiang Chen; Xueming Qian (Knowl. Based Syst., 2023)

Real-time pricing strategy considering carbon emissions and time coupling in smart grid: A binary integer bilevel optimization model with decision-making. - Yiling Luo; Yan Gao (Eng. Appl. Artif. Intell., 2025)