Gao Shuhua
Professor
教育和研究背景简介 2008-2012年在上海交通大学机械与动力工程学院本科毕业，2012-2015年于北京航空航天大学机械工程及自动化学院取得硕士学位（主要研究并联机器人的控制系统），2015-2019年在新加坡国立大学（NUS）电气与计算机工程学院获得博士学位（主要研究复杂系统建模与控制）。之后，于2019年11月到2022年3月，在新加坡国立大学先进控制技术实验室继续从事“基于人工智能方法的微电网最优能量管理”博士后研究。于2022年3月加入山东大学控制科学与工程学院，任研究员（正高... More+
Paper Publications
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[1] 高树华. Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs .... INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1, 2024.
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[2] 高树华. Robust Set Stabilization of Boolean Control Networks: an Efficient Approach based on Reverse Set .... 8343-8348, 2024.
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[3] Zhao, Yunyi. Online Cooperative Optimal Power Scheduling of Multiple Microgrids via Hierarchical Imitation Lea.... 30-35, 2024.
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[4] 高树华. Dam Seepage Defect Area Estimation Method Based on UAV 3D Scene Reconstruction. 106-112, 2024.
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[5] 高树华. On Solar Photovoltaic Parameter Estimation: Global Optimality Analysis and a Simple Efficient Dif.... 2563-2569, 2024.
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[6] Huang, Zhenhao. Economical Electric Vehicle Charging Scheduling via Deep Imitation Learning. IEEE Transactions on Intelligent Transportation Systems, 2024.
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[7] Zhang, Yudi. Multistep Model Predictive Torque Control for Induction Motor via Imitation Learning. 2023.
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[8] 张德祯. LogicGep: Boolean networks inference using symbolic regression from time-series transcriptomic pr.... Briefings in Bioinformatics, 25, 2024.
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[9] 高树华. Economic Cost and Carbon Emission Reduction of Microgrid via Bi-Objective Optimization. 6307-6314, 2024.
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[10] 高树华. Minimum-Time Control of Boolean Control Networks: A Fast Graphical Approach. IEEE Transactions on Circuits and Systems II: Express Briefs, 1-1, 2023.
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[11] 高树华. A Faster Approach for Robust Set Stabilization of Boolean Control Networks. 2023.
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[12] 高树华. A Hybrid Approach for Home Energy Management With Imitation Learning and Online Optimization. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023.
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[13] 高树华. Minimum-Time Control of Boolean Control Networks: A Fast Graphical Approach. IEEE Transactions on Circuits and Systems II: Express Briefs, 2023.
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[14] Shuhua Gao , Cheng Xiang , Ming Yu , Kuan Tak Tan and Tong Heng Lee. Online Optimal Power Scheduling of a Microgrid via Imitation Learning. IEEE Transactions on Smart Grid, 2021.
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[15] Shuhua Gao , Cheng Xiang and Tong Heng Lee. Highly efficient photovoltaic parameter estimation using parallel particle swarm optimization on .... 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), 2021.
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[16] Shuhua Gao , Changkai Sun , Cheng Xiang , Kairong Qin and Tong Heng Lee. Finite-Horizon Optimal Control of Boolean Control Networks: A Unified Graph-Theoretical Approach. IEEE Transactions on Neural Networks and Learning Systems, 2020.
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[17] Shuhua Gao , Changkai Sun , Cheng Xiang , Kairong Qin and Tong Heng Lee. Learning Asynchronous Boolean Networks From Single-Cell Data Using Multiobjective Cooperative Gen.... IEEE Transactions on Cybernetics, 2020.
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[18] Shuhua Gao , Cheng Xiang and Tong Heng Lee. Set Invariance and Optimal Set Stabilization of Boolean Control Networks: A Graphical Approach. IEEE Transactions on Control of Network Systems, 2020.
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[19] Shuhua Gao , Changkai Sun , Cheng Xiang , Kairong Qin and Tong Heng Lee. Infinite-Horizon Optimal Control of Switched Boolean Control Networks With Average Cost: An Effic.... IEEE Transactions on Cybernetics, 2020.
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[20] Shuhua Gao , Cheng Xiang and Tong Heng Lee. Optimal Control of Boolean Control Networks with Discounted Cost: An Efficient Approach based on .... 2020 IEEE 16th International Conference on Control Automation (ICCA), 2020.