State estimation for unbalanced electric power distribution systems using AMI data. - Yuanqi Gao; Nanpeng Yu (ISGT, 2017)

Communication-efficient Distributed Solutions to a System of Linear Equations with Laplacian Sparse Structure. - Peng Wang 029; Yuanqi Gao; Nanpeng Yu; Wei Ren 001; Jianming Lian; Di Wu 021 (CDC, 2018)

Dynamic Distribution Network Reconfiguration Using Reinforcement Learning. - Yuanqi Gao; Jie Shi 002; Wei Wang 241; Nanpeng Yu (SmartGridComm, 2019)

Volt-VAR Control in Power Distribution Systems with Deep Reinforcement Learning. - Wei Wang 241; Nanpeng Yu; Jie Shi 002; Yuanqi Gao (SmartGridComm, 2019)

Asymptotic Finite Sample Information Losses in Neural Classifiers. - Brandon Foggo; Nanpeng Yu; Jie Shi 002; Yuanqi Gao (CoRR, 2019)

A Physically Inspired Data-Driven Model for Electricity Theft Detection With Smart Meter Data. - Yuanqi Gao; Brandon Foggo; Nanpeng Yu (IEEE Trans. Ind. Informatics, 2019)

Detection and Segmentation of Power Line Fires in Videos. - Jie Shi 002; Wei Wang 241; Yuanqi Gao; Nanpeng Yu (ISGT, 2020)

HAT-DRL: Hotspot-Aware Task Mapping for Lifetime Improvement of Multicore System using Deep Reinforcement Learning. - Jinwei Zhang; Sheriff Sadiqbatcha; Yuanqi Gao; Michael O'Dea; Nanpeng Yu; Sheldon X.-D. Tan (MLCAD, 2020)

Optimal Placement and Intelligent Smoke Detection Algorithm for Wildfire-Monitoring Cameras. - Jie Shi 002; Wei Wang 241; Yuanqi Gao; Nanpeng Yu (IEEE Access, 2020)

Operating Electric Vehicle Fleet for Ride-Hailing Services With Reinforcement Learning. - Jie Shi 002; Yuanqi Gao; Wei Wang 241; Nanpeng Yu; Petros A. Ioannou (IEEE Trans. Intell. Transp. Syst., 2020)

Information Losses in Neural Classifiers From Sampling. - Brandon Foggo; Nanpeng Yu; Jie Shi 002; Yuanqi Gao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration. - Yuanqi Gao; Wei Wang 241; Jie Shi 002; Nanpeng Yu (IEEE Trans. Smart Grid, 2020)

Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems. - Wei Wang 241; Nanpeng Yu; Yuanqi Gao; Jie Shi 002 (IEEE Trans. Smart Grid, 2020)

Reinforcement Learning-based Smart Inverter Control with Polar Action Space in Power Distribution Systems. - Farzana Kabir; Yuanqi Gao; Nanpeng Yu (CCTA, 2021)

Deep Reinforcement Learning in Power Distribution Systems: Overview, Challenges, and Opportunities. - Yuanqi Gao; Nanpeng Yu (ISGT, 2021)

Solving Unit Commitment Problems with Multi-step Deep Reinforcement Learning. - Jingtao Qin; Nanpeng Yu; Yuanqi Gao (SmartGridComm, 2021)

Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks. - Yuanqi Gao; Wei Wang 241; Nanpeng Yu (IEEE Trans. Smart Grid, 2021)

A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment. - Yuanqi Gao; Nanpeng Yu (ISGT Asia, 2022)

Distributed and communication-efficient solutions to linear equations with special sparse structure. - Peng Wang 029; Yuanqi Gao; Nanpeng Yu; Wei Ren 001; Jianming Lian; Di Wu 021 (Syst. Control. Lett., 2022)

Multi-Agent Deep Reinforcement Learning for Voltage Control With Coordinated Active and Reactive Power Optimization. - Daner Hu; Zhenhui Ye; Yuanqi Gao; Zuzhao Ye; Yonggang Peng; Nanpeng Yu (IEEE Trans. Smart Grid, 2022)

Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-Grid Integration. - Zuzhao Ye; Yuanqi Gao; Nanpeng Yu (IEEE Trans. Smart Grid, 2022)

An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems. - Jingtao Qin; Yuanqi Gao; Mikhail A. Bragin; Nanpeng Yu (IEEE Access, 2023)