西南交通大学电气工程学院，副教授，主持国家自然科学青年基金项目 1 项，国家重点研发计划项目子课题 2 项，主研国铁集团科技研发计划重点课题 2 项，获全国铁路青年科技创新奖、中国产学研创新成果奖二等奖1项（排5）、中国铁道学会科学科技进步一等奖1项（排10），发表论文 40 余篇，申请发明专利 20 余项，参与制定企业标准 5 项。部分论文如下：

[1]luo Jiaming, Gao Shibin, Tian Zhongbei, Wei Xiaoguang(通信), et al. A Hierarchical Game-Decoupled-RL-Based Energy Flow Optimization Strategy for Cross-Regional Railway Integrated Energy System，IEEE Transactions on Smart Grid, 2026, 17(4): 2646–2659;

[2]Wu Xinyuan, Gao Shibin, Wei Xiaoguang(通信), et al. Causal correlation inference between fault catenary components based on Kolmogorov complexity, Reliability Engineering and System Safety, 2026, 267, 111805

[3]富嘉兴,韦晓广（通信）, 高仕斌, 等. 基于多主体依互与在线学习的图神经网络“网-源-储-车”协同供能系统能量超前管控方法[J].电工技术学报,2026,41(12)4246-4267.DOI:10.19595/j.cnki.1000-6753.tces.251030.

[4]胡晋豪, 韦晓广（通信）, 陈轶, 等. 基于分区自适应采样PINN的卷铁心牵引变压器热-流耦合场仿真预测方法[J/OL].中国电机工程学报,1-18[2026-07-11].https://doi.org/10.13334/j.0258-8013.pcsee.252188.

[5]Wei Xiaoguang(一作), Lei Jieyu, Gao Shibin, et al. A Reasoning Approach Based on Pattern Graph for Analyzing the Risk of Power Outage Propagation,IEEE Transactions on Power Systems, 2025, 40(6):5472–5475;

[6]Wei Xiaoguang(一作), Lei Jieyu, Gao Shibin, et al. A Data-Driven Approach for Quantifying and Evaluating Overloading Dependencies among Power System Branches under Load Redistribution Attacks, IEEE Transactions on Smart Grid, 2024, 15(4):4050–4062;

[7] Wei Xiaoguang(一作), Liu Yigu, Shi Jian, et al. A Flow Graph-Based Scalable Critical Branch Identification Approach for AC State Estimation Under Load Redistribution Attacks, IEEE Transactions on Industrial Informatics, 2024, 20(3): 4079–4091.

[8]Ling Weize, Gao Shibin, Wei Xiaoguang(通信), et al. GCN for Identifying Critical Branches Based on Unlabeled Power Outage Data, IEEE Transactions on Power Systems, 2024, 39(6): 7441–7444;

[9]Liu Diyang, Gao Shibin,  Wei Xiaoguang(通信), et al. Impactability and susceptibility assessment based on D-S evidence theory for analyzing the risk of fault propagation among catenary components, Reliability Engineering and System Safety, 2024, 251, 110389.

[10]A reasoning approach-based pattern graph for analyzing the risk level of correlations among catenary components considering time distribution, Reliability Engineering and System Safety, 2024, 251, 110035.

[11]高仕斌,刘帝洋,韦晓广（通信）,等.基于数字孪生网络的牵引供电智能运维体系与应用架构[J].铁道学报,2023,45(12)1-15.

[12] Lei Jieyu, Gao Shibin, Shi Jian,  Wei Xiaoguang(通信), et al. A Reinforcement Learning Approach for Defending Against Multiscenario Load Redistribution Attacks, IEEE Transactions on Smart GridOpen source preview, 2022, 13(5):3711–3722.

[13]Gao Shibin, Lei Jieyu, Wei Xiaoguang(通信), et al. A Novel Bilevel False Data Injection Attack Model Based on Pre- and Post- Dispatch, IEEE Transactions on Smart GridOpen source preview, 2022, 13(3):2487–2490.

[14]Gao Shibin, Lei Jieyu, Shi Jian, Wei Xiaoguang(通信), et al. Assessment of Overloading Correlations among Transmission Lines under Load Redistribution Attacks, IEEE Transactions on Smart Grid, 2022, 13(2):1570–1581.

[15]刘一谷,高仕斌,韦晓广,等.电力物联网下考虑社会行为的产消者交易模型研究[J].中国电机工程学报,2021,41(9)3173-3187.DOI:10.13334/j.0258-8013.pcsee.200001.

[16]Liu Yigu, Gao Shibin, Shi Jian, Wei Xiaoguang(通信), et al. Sequential-Mining-Based Vulnerable Branches Identification for the Transmission Network under Continuous Load Redistribution Attacks, IEEE Transactions on Smart Grid, 2020, 11(6), 页 5151–5160.

[17] Liu Yigu, Gao Shibin, Shi Jian, Wei Xiaoguang(通信), et al. Pre-Overload-Graph-Based Vulnerable Correlation Identification under Load Redistribution Attacks, IEEE Transactions on Smart Grid, 2020, 11(6), 页 5216–5226.

[18] Wei Xiaoguang(一作), Gao Shibin, Huang Tao, et al. Complex Network-Based Cascading Faults Graph for the Analysis of Transmission Network Vulnerability,IEEE Transactions on Industrial Informatics, 2019, 15(3):1265–1276.

[19]Wei Xiaoguang(一作), Zhao Junbo, Huang Tao, et al. A Novel Cascading Faults Graph Based Transmission Network Vulnerability Assessment Method,IEEE Transactions on Power SystemsOpen source preview, 2018, 33(3):2995–3000

[20]韦晓广（一作）,高仕斌,臧天磊,等.社会能源互联网:概念、架构和展望[J].中国电机工程学报,2018,38(17)4969-4986+5295.DOI:10.13334/j.0258-8013.pcsee.180846.