Ph.D. in Electrical Engineering

Xiaodong Zheng

郑晓东

Intelligent decision-making and control for power systems

Xiaodong Zheng received his Ph.D. in Electrical Engineering from Xi’an Jiaotong University in 2026, supervised by Prof. Hui Cao. He previously earned an M.S. in Electrical Engineering from the University of Southern California and a B.S. in Electrical Engineering from Florida Institute of Technology. His research focuses on multi-agent reinforcement learning, power-system time-series forecasting, and large-language-model agents, with applications to active distribution networks, coordinated energy storage scheduling, and power-system simulation.

Xiaodong Zheng in a forest

Research

Multi-agent reinforcement learning for power-system control

Cooperative decision-making across heterogeneous devices and action spaces for volt–var and load-frequency control.

Multi-agent RL / Heterogeneous resources / Grid control

Renewable energy, storage, and time-series forecasting

Graph learning, reinforcement learning, and time-series foundation models for charging-station scheduling, urban load forecasting, and wind-power forecasting.

Graph learning / Time series / Storage scheduling

AI agents and automation for power-system simulation

LLM-based task planning, simulation-tool orchestration, result validation, and reproducible multi-agent training environments.

Language models / Task planning / Simulation environments

Publications

27 / 27 works
2027

Making large time series models work for urban load forecasting: A dual-stream large-lightweight hybrid framework with trend–fluctuation decomposition

Xiaodong Zheng, Tiansen Niu, Junkai Tan, Qingshu Guan, Xinyao Dong, Shuangsi Xue, Hui Cao

Electric Power Systems Research, 265: 114258Published online (2027 issue)Journal article

A dual-stream large–lightweight framework for urban load forecasting through trend–fluctuation decomposition.

2026

Graph-Oriented Deep Reinforcement Learning Approach for Vehicle Routing Problems

Xiaodong Zheng, Qingshu Guan, Shuangsi Xue, Hui Cao, Badong Chen

Neurocomputing, 699: 134376PublishedJournal article

2026

耦合交通预测多智能体强化学习的虚拟聚合储能多充电站协同调度

郑晓东, 石天卓, 张盼盼, 张晓彤, 薛霜思, 丁涛, 曹晖

Power System Technology, 50(5): 1973–1984Published; in ChineseJournal article

Multi-charging-station cooperative scheduling with virtual aggregated energy storage, coupling traffic prediction and multi-agent reinforcement learning.

2026

Order-Based Heterogeneous Agents Reinforcement Learning Method With the Coordination of Distribution Network and Transmission Network for Load Frequency Control

Shixuan Yu, Xiaodong Zheng, Tianzhuo Shi, Ruilin Chen, Shuangsi Xue, Hui Cao

IEEE Transactions on Power Systems, 41(1): 413–424PublishedJournal article

2026

Fixed-Time Convergent Resilient Critic-Learning Control With Asymmetric Input-State Constraints Under Hybrid FDI–DoS Attacks

Junkai Tan, Shuangsi Xue, Qingshu Guan, Xiaodong Zheng, Hui Cao, Badong Chen

IEEE Transactions on Industrial Informatics, Early AccessEarly AccessJournal article

2026

Learning dynamic inter-farm dependencies for wind power forecasting via adaptive sparse graph attention network

Kai Qu, Shuangsi Xue, Xiaodong Zheng, Dapeng Yan, Hui Cao

Renewable Energy, 258: 124969PublishedJournal article

2026

STIMI: A masked image modeling framework for spatiotemporal wind speed reconstruction

Kai Qu, Shuangsi Xue, Xiaodong Zheng, Hui Cao

Neurocomputing, 674: 132945PublishedJournal article

2026

基于ADP-DANN的小样本风电集群短期功率预测方法

曲凯, 闫大鹏, 郑晓东, 薛霜思, 曹晖

Automation of Electric Power Systems, 50(7): 206–217PublishedJournal article

2026

多尺度门控网络的变电站复杂声源分离研究

陈睿霖, 曹晖, 郑晓东, 闫大鹏, 薛霜思, 曲凯, 汲胜昌

Journal of Electronic Measurement and Instrumentation, 40(3): 46–57PublishedJournal article

2026

Adaptive hierarchical control of quadcopters via safe reinforcement learning from human demonstration

Junkai Tan, Shuangsi Xue, Zihang Guo, Huan Li, Xiaodong Zheng, Hui Cao

Engineering Applications of Artificial Intelligence, 163: 113013PublishedJournal article

2026

TS-DBC: A teacher-student dual-branch classifier for few-shot acoustic fault detection in substations

Ruilin Chen, Xiaodong Zheng, Hui Cao, Tiansen Niu, Shixuan Yu, Fan Zhang, Shengchang Ji

Electric Power Systems Research, 254: 112679PublishedJournal article

2026

FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed

Sizhe Dang, Yangyang Guo, Yanjun Zhao, Xiaodong Zheng, Guang Dai, Ivor Tsang, Haishan Ye

International Conference on Learning Representations (ICLR) 2026, PosterPublished · PosterConference paper

2026

From O(mn) to O(r²): Two-Sided Low-Rank Communication for Adam in Distributed Training with Memory Efficiency

Sizhe Dang, Jiaqi Shao, Xiaodong Zheng, Guang Dai, Yan Song, Haishan Ye

arXiv, arXiv:2602.08007PreprintPreprint

2026

基于多智能体强化学习的主动配电网异质性协同分布式控制方法研究

郑晓东

Xi’an Jiaotong University, Doctoral dissertationDoctoral dissertationThesis

2025

Sensitivity-Based Heterogeneous Ordered Multi-Agent Reinforcement Learning for Distributed Volt-Var Control in Active Distribution Network

Xiaodong Zheng, Shixuan Yu, Hui Cao, Tianzhuo Shi, Shuangsi Xue, Tao Ding

IEEE Transactions on Smart Grid, 16(3): 2115–2126PublishedJournal article

Sensitivity-based ordering and heterogeneous multi-agent learning for distributed volt–var control in active distribution networks.

2025

Agentic Planning for Power System Simulation Task Orchestrations Based on Multi-Agent Systems

Xiaodong Zheng, Siheng Zhao, Tianzhuo Shi, Tao Wang, Ruilin Chen, Shixuan Yu, Shuangsi Xue, Hui Cao

2025 8th International Conference on Robotics, Control and Automation Engineering (RCAE), 576–584PublishedConference paper

2025

Fixed-Time Fault-Tolerant Control for Robotic Manipulators Based on Bias Neural Network with Input Saturation

Zihang Guo, Shuangsi Xue, Huan Li, Junkai Tan, Xiaodong Zheng, Liangliang Xia, Hui Cao

Intelligent Robotics and Applications, 74–89PublishedConference paper

2025

Consensus Control via Edge-Event-Triggered Mechanism for Heterogeneous Multi-Agent Systems Under Disturbances

Huan Li, Xiaodong Zheng, Shuangsi Xue, Hui Cao, Junkang Ni

2025 Joint International Conference on Automation-Intelligence-Safety (ICAIS) & International Symposium on Autonomous Systems (ISAS), 1–6PublishedConference paper

2025

Weighted-Sign Based Sequential Synchronization Control via Residual Reinforcement Learning

Xiaodong Zheng, Shuangsi Xue, Hui Cao

The International Journal of Intelligent Control and Systems, 30(4)PublishedJournal article

2025

Spatiotemporal Context-Aware Imaging for Robust Imputation of Wind Speed Data in Regional Wind Farms

Kai Qu, Shuangsi Xue, Xiaodong Zheng, Dapeng Yan, Hui Cao

SSRNPreprintPreprint

2025

ExpertAP: Leveraging Multi-unit Operational Patterns for Advanced Turbine Anomaly Prediction

Yuanxian Liang, Xiaodong Zheng, Dongjun Pang, Wenhao Zhu, Maoyuan Liu, Shuangsi Xue, Hui Cao

Intelligent Robotics and Applications, 344–359PublishedConference paper

2024

Leader-Following Formation Tracking of Multiagent Systems Using Adaptive Scaling Mechanism Under Spatial Constraints

Shuangsi Xue, Jinyu Liu, Hui Cao, Xiaodong Zheng, Huan Li, Jie Zhang

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(2): 1214–1225PublishedJournal article

2023

Two-Stage Flocking Formation Control Based on Constrained Boundary

Xiaodong Zheng, Tao Wang, Shuangsi Xue, Jinyu Liu, Hui Cao, Feihu Hu

Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control, Lecture Notes in Electrical Engineering 934: 1112–1122PublishedConference paper

2022

面向变电站智能消防机械臂的高精度运动学模型研究

汤锦慧, 伍发元, 辛建波, 郑晓东, 薛霜思

Journal of China Three Gorges University (Natural Sciences), 44(2): 100–106PublishedJournal article

2021

基于边缘计算的能量自治区域调度策略

袁性忠, 张鹭, 罗迪, 赖轩达, 李雪, 郑晓东

Smart Power, 49(8): 46–54PublishedJournal article

2020

A Cost-efficient Smart IoT Device Controlling System Based on Bluetooth Mesh and Cloud Computing

Xiaodong Zheng, Shuangsi Xue, Hui Cao, Feng Wang, Mingke Zhang

2020 Chinese Automation Congress (CAC), 3374–3379PublishedConference paper

2020

Fuzzy Model-Based Asynchronous Control for Markov Switching Systems with Stochastic Fading Channels

Fayuan Wu, Jinhui Tang, Zhuang Liu, Qi Xiao, Xiaodong Zheng, Shuangsi Xue

Complexity, 2020: 8840784PublishedJournal article

Projects

PowerZoo

A multi-agent reinforcement learning platform for power-system control research, with standardized training environments and simulation cases.

The showcase presents steady-state scenarios and the research platform.

SHOM

Sensitivity-based heterogeneous ordered multi-agent reinforcement learning for distributed volt–var control, with code accompanying the IEEE Transactions on Smart Grid paper.

Zotero–Notion Paper Flow

A literature workflow connecting paper discovery, Zotero, Notion, and LLM-assisted summaries.

Education

  1. 2021.09–2026.03

    Xi’an Jiaotong University

    Ph.D. in Electrical Engineering

    Advisor: Prof. Hui Cao

  2. 2018.08–2020.05

    University of Southern California

    M.S. in Electrical Engineering

  3. Graduated May 2018

    Florida Institute of Technology

    B.S. in Electrical Engineering

    Magna Cum Laude

Contact

Get in touch

For research collaboration, open-source projects, and academic exchange.

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