Yiling Luo

12 papers A 1B 2Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Real-time hybrid demand response strategy based on reinforcement learning for smart grid.
Neural Comput. Appl.
Yiling Luo, Yan Gao, Renjie Li, Deqiang Qu
2025 J jnl
Real-time pricing strategy considering carbon emissions and time coupling in smart grid: A binary integer bilevel optimization model with decision-making.
Eng. Appl. Artif. Intell.
Yiling Luo, Yan Gao
2023 J jnl
Aspect-based sentiment analysis via multitask learning for online reviews.
Knowl. Based Syst.
Guoshuai Zhao, Yiling Luo, Qiang Chen, Xueming Qian
2023 A conf
Improved Rate of First Order Algorithms for Entropic Optimal Transport.
AISTATS
Yiling Luo, Yiling Xie, Xiaoming Huo
2023 J jnl
Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm.
Trans. Mach. Learn. Res.
Yiling Xie, Yiling Luo, Xiaoming Huo
2023 — —
Stochastic Methods in Model Estimation: New Algorithms and New Properties.
Yiling Luo
2022 J jnl
An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem.
CoRR
Yiling Xie, Yiling Luo, Xiaoming Huo
2022 J jnl
Covariance Estimators for the ROOT-SGD Algorithm in Online Learning.
CoRR
Yiling Luo, Xiaoming Huo, Yajun Mei
2022 B conf
Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent.
ISIT
Yiling Luo, Xiaoming Huo, Yajun Mei
2022 J jnl
Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent.
CoRR
Yiling Luo, Xiaoming Huo, Yajun Mei
2022 B conf
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models.
ISIT
Yiling Luo, Xiaoming Huo, Yajun Mei
2022 J jnl
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models.
CoRR
Yiling Luo, Xiaoming Huo, Yajun Mei