Chao REN


Publications


2024, 2023, 2022, 2021, 2020, 2019, 2018 ]

* Corresponding author

[Journal] [Conference]

Research Area:
{FL-Federated Learning}
{QC-Quantum Computing}
{BDA-Big Data Analysis}
{ARV-Adversarial Robustness Verification}
{ASS-AIOT & Large-Scale System Security and Stability Assessment}
{RE-Renewable Energy}


Under Review

  • C. Ren, YP. Tang, A. Li, Y. Gao, H. Yu*, SJ. Huang, "Towards Federated Active Learning"
    [IJCAI-Survey] submitted to International Joint Conference on Artificial Intelligence, 2024. (IJCAI 2024, CCF A)
    {FL-Federated Learning} {BDA-Big Data Analysis}

  • C. Ren, H. Yu*, R. Yan, M. Xu, Y. Shen, H. Zhu, D. Niyato, Z.Y. Dong & L. C. Kwek, "Towards Quantum Federated Learning"
    [TNNLS] submitted to IEEE Transactions on Neural Networks and Learning Systems, 2023. (JCR Q1, 2021 IF: 14.255)
    {QC-Quantum Computing} {FL-Federated Learning}

  • C. Ren, H. Yu*, M. Xu, Z. Xiong, D. Niyato, and Z.Y. Dong, "ESQFL: Digital Twin-Driven Explainable and Secured Quantum Federated Learning for Voltage Stability Assessment in Smart Grids"
    [JSTSP] submitted to IEEE Journal of Selected Topics in Signal Processing, 2023. (JCR Q1, 2021 IF: 7.5)
    {QC-Quantum Computing} {FL-Federated Learning} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, Z.Y. Dong*, and R. Zhang, "Joint Geometrical and Statistical Domain Adaption for Power System Dynamic Security Assessment by Considering both Data Centric and Subspace Centric"
    [TPWRS] submitted to IEEE Transactions on Power Systems 2024. (JCR Q1, 2021 IF: 6.6)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, H. Yu*, T. Wang, and Y. Tang, "QFEVAL: Quantum Federated Ensembled Variational Adaptive Learning for Efficient Dynamic Security Assessment in Smart Grids"
    [ICDE] submitted to IEEE International Conference on Computer Communications, 2023. (ICDE 2024, CCF A)
    {QC-Quantum Computing} {FL-Federated Learning}

  • C. Ren*, X. Li, and H. Yu, "Double-Blind"
    [ICME] submitted to IEEE International Conference on Multimedia and Expo, 2024. (ICME 2024, CCF B)
    {QC-Quantum Computing} {FL-Federated Learning}

  • C. Ren*, C. Zou, T. Wang, Z.Y. Dong, and Y. Xu, "Quantum Federated Learning for Intelligent Power Systems of Dynamic Security Assessment"
    [TASE] submitted to IEEE Transactions on Automation Science and Engineering, 2023. (JCR Q1, 2022 IF: 5.6)
    {QC-Quantum Computing} {FL-Federated Learning} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • L. Yi, H. Yu*, C. Ren, H. Zhang, G. Wang, X. Li, "Double-Blind"
    [KDD] submitted to SIGKDD Conference on Knowledge Discovery and Data Mining, 2024. (KDD 2024, CCF A)
    {FL-Federated Learning} {BDA-Big Data Analysis}

  • X. Tang, H. Yu*, C. Ren, A. Li, X. Li, "Double-Blind"
    [IJCAI] submitted to International Joint Conference on Artificial Intelligence, 2024. (IJCAI 2024, CCF A)
    {FL-Federated Learning} {BDA-Big Data Analysis}

  • A. Li, Y. Chen, C. Ren, W. Wang, T. Li, A. Luu, H. Yu*, and Y. Liu, "Efficient Federated Graph Learning with Adaptive Sample Selection"
    [ICDE] submitted to IEEE International Conference on Data Engineering, 2024. (ICDE 2024, CCF A)
    {FL-Federated Learning}

  • Y. Gao, C. Ren, and H. Yu*, "Adaptive Computation Peer Offloading Scheduling in Hybrid Classical-Quantum Networks"
    [IN] submitted to IEEE Network, 2023. (JCR Q1, 2022 IF: 9.3)
    {QC-Quantum Computing} {BDA-Big Data Analysis}

  • M. Xu, D. Niyato*, J. Kang, Z. Xiong, Y. Cao, Y. Gao, C. Ren, and H. Yu, "Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation"
    [IN] submitted to IEEE Network, 2023. (JCR Q1, 2022 IF: 9.3)
    {QC-Quantum Computing} {BDA-Big Data Analysis}

  • T. Wang, C. Ren, and Z.Y. Dong*, "Domain-Adaptive Clustered Federated Transfer Learning for EV Charging Demand Forecasting"
    [TPWRS] submitted to IEEE Transactions on Power Systems, 2023. (JCR Q1, 2021 IF: 7.326)
    {FL-Federated Learning} {BDA-Big Data Analysis} {RE-Renewable Energy}

  • T. Wang, C. Ren, and Z.Y. Dong*, "Multi-View Multi-Label Learning for Non-Intrusive Load Monitoring with Incomplete Labels and Data"
    [TSG] submitted to IEEE Transactions on Smart Grid, 2023. (JCR Q1, 2021 IF: 11.648)
    {BDA-Big Data Analysis} {RE-Renewable Energy}

  • Q. Li, C. Ren, and Y. Xu*, "Multi-task Learning-based Power System Short-Term Voltage Stability Assessment with Missing PMU data"
    [TR] submitted to IEEE Transactions on Automation Science and Engineering, 2023. (JCR Q1, 2022 IF: 5.6)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment} {RE-Renewable Energy}

  • Z. Zhou, C. Ren, and Y. Xu*, "Double Blind"
    [TII] submitted to IEEE Transactions on Industrial Informatics, 2023. (JCR Q1, 2022 IF: 12.3)
    {BDA-Big Data Analysis {RE-Renewable Energy}

  • T. Wang, C. Ren, L. Feng, and Z.Y. Dong*, "Weakly Ssupervised Battery SOH Evaluation for Battery with Error Imprecise Intervals"
    [TEC] submitted to IEEE Transactions on Energy Conversion, 2023. (JCR Q1, 2022 IF: 4.9)
    {BDA-Big Data Analysis} {RE-Renewable Energy}

  • J. Tian, C. Shen, B. Wang *, and C. Ren, "EVADE: Targeted Adversarial False Data Injection Attacks for State Estimation in Smart Grid"
    [TSTC] submitted to IEEE Transactions on Sustainable Computing, 2023. (JCR Q1, 2022 IF: 3.9)
    {BDA-Big Data Analysis} {ARV-Adversarial Robustness Verification}

  • C. Zou, C. Ren*, and B. Dai, "Model-based Transfer Learning based on Random Vector Functional Link Network"
    [EAAI] submitted to Engineering Applications of Artificial Intelligence, 2023. (JCR Q1, 2021 IF: 6.212)
    {BDA-Big Data Analysis}

  • Z. Zhou, Y. Xu, C. Ren*, and Z. Yan, "A Transfer Learning and Bayesian Tuning Method for Masked-Load Forecasting with Invisible Distributed Energy Resource"
    [PESGM] submitted to Proc. 2024 IEEE Power & Energy Society General Meeting , 2024. (Tier 1 Conference)
    {BDA-Big Data Analysis} {RE-Renewable Energy}


Selected Journal and Conference Papers

2024

  • C. Ren, T. Wang, Z.Y. Dong*, and R. Zhang, "Transfer Extreme Learning Machine for Power System Cross-Fault and Cross-Scale Stability Assessment with Limited Guide Instances"
    [TPWRS] IEEE Transactions on Power Systems, accepted in Jan. 2024. (JCR Q1, 2021 IF: 6.6)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren*, M. Xu, H. Yu, Z. Xiong, Z. Zhang, and D. Niyato, "Variational Quantum Circuit and Quantum Key Distribution-based Quantum Federated Learning: A Case of Smart Grid Dynamic Security Assessment"
    [ICC] IEEE International Conference on Communications, 2024. (ICC 2024, CIC A)
    {QC-Quantum Computing} {FL-Federated Learning} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

2023

  • C. Ren, C. Zou*, Z. Xiong, H. Yu, Z.Y. Dong, and D. Niyato, "Achieving 500X Acceleration for Adversarial Robustness Verification of Tree-based Smart Grid Dynamic Security Assessment"
    [IEEE JAS] IEEE/CAA Journal of Automatica Sinica, accepted in Oct. 2023. (JCR Q1, 2021 IF: 11.8)
    {ARV-Adversarial Robustness Verification} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, R. Yan, M. Xu, H. Yu*, Y. Xu, D. Niyato, and Z.Y. Dong, "QFDSA: A Quantum-Secured Federated Learning System for Smart Grid Dynamic Security Assessment"
    [IoTJ] IEEE Internet of Things Journal, accepted in Sep. 2023. (JCR Q1, 2022 IF: 10.6)
    {QC-Quantum Computing} {FL-Federated Learning} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, H. Yu*, R. Yan, Q. Li, Y. Xu, D. Niyato, and Z.Y. Dong, "SecFedSA: A Secure Differential Privacy-based Federated Learning Approach for Smart Cyber-Physical Grid Stability Assessment"
    [IoTJ] IEEE Internet of Things Journal, accepted in Aug. 2023. (JCR Q1, 2022 IF: 10.6)
    {FL-Federated Learning} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, T. Wang, H. Yu*, Y. Xu and Z.Y. Dong, "EFedDSA: An Efficient Differential Privacy-based Horizontal Federated Learning Approach for Smart Grid Dynamic Security Assessment"
    [JETCAS] IEEE Journal on Emerging and Selected Topics in Circuits and Systems, accepted in Jun. 2023. (JCR Q1, 2021 IF: 5.877)
    {FL-Federated Learning} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, H. Yu*, Y. Xu and Z.Y. Dong, "Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method"
    [CSEE JPS] CSEE Journal of Power and Energy Systems , accepted in Jun. 2023. (JCR Q1, 2022 IF: 7.1)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • Z. Chen, C. Ren, Q. Li, Y. Xu*, Z.Y. Dong, "Data-Driven Power System Dynamic Security Assessment under Adversarial Attacks: Risk Warning based Interpretation Analysis and Mitigation"
    [IETESI] IET Energy Systems Integration, accepted in Sep. 2023. (JCR Q3, 2022 IF: 2.4)
    {BDA-Big Data Analysis} {ARV-Adversarial Robustness Verification} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

2022

  • C. Ren, H. Yuan, Q. Li, Y. Xu*, and R. Zhang, "Pre-Fault Dynamic Security Assessment of Power Systems for Multiple Different Faults via Multi-Label Learning"
    [TPWRS] IEEE Transactions on Power Systems, accepted in Oct. 2022. (JCR Q1, 2021 IF: 6.6)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren and Y. Xu*, "A Universal Defense Strategy for Data-Driven Power System Stability Assessment Models under Adversarial Examples"
    [IoTJ] IEEE Internet of Things Journal, accepted in Aug. 2022.(JCR Q1, 2022 IF: 10.6)
    {ARV-Adversarial Robustness Verification} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • Y. Tang, C. Ren*, R. Zhang, and S. Ren, "A Gramian Angular Field Transform-Based Higher-Dimension Data-Driven Method for Post-Fault Short-Term Voltage Stability Assessment"
    [ISGT-ASIA] 11th International Conference on Innovative Smart Grid Technologies (Asia), 2022. (Tier 1 Conference)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • Z. Chen, C. Ren*, and Y. Xu, "An Improved AdaBoost-based Ensemble Learning Method for Data-Driven Dynamic Security Assessment of Power Systems"
    [PESGM] Proc. 2022 IEEE Power & Energy Society General Meeting, 2022. (Tier 1 Conference)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • Q. Song, R. Tan*, C. Ren, Y. Xu, Y. Lou, J. Wang, and H. B. Gooi, "On Cbluwibility of Adversarial Examples against Learning-Based Grid Voltage Stability Assessment"
    [TDSC] IEEE Transactions on Dependable and Secure Computing, accepted in Oct. 2022. (JCR Q1, 2021 IF: 6.791)
    {ARV-Adversarial Robustness Verification} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • Q. Li, Y. Xu*, and C. Ren, "A Probabilistic Data-Driven Method for Response-base Load Shedding Against Fault-Induced Delayed Voltage Recovery in Power Systems"
    [TPWRS] IEEE Transactions on Power Systems, accepted in Aug. 2022. (JCR Q1, 2021 IF:7.326)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment} {RE-Renewable Energy}

  • Z. Zhou, Y. Xu*, and C. Ren, "A Transfer Learning-based Method for Masked Load Forecasting with Behind-the-meter Distributed Energy Resources"
    [TSG] IEEE Transactions on Smart Grid, accepted in Jul. 2022. (JCR Q1, 2021 IF: 10.275)
    {BDA-Big Data Analysis} {RE-Renewable Energy}

  • W. Liu, C. Ren, and Y. Xu*, "A Missing-Data Tolerant Hybrid Learning Method for Solar Power Forecasting"
    [TSTE] IEEE Transactions on Sustainable Energy, accepted in Apr. 2022. (JCR Q1, 2021 IF: 8.310)
    {BDA-Big Data Analysis} {RE-Renewable Energy}

2021

  • C. Ren, and Y. Xu*, "Robustness Verification for Machine Learning-based Power System Dynamic Security Assessment"
    [TCNS] IEEE Transactions on Control of Network Systems, accepted in Dec. 2021. (JCR Q1, 2021 IF: 4.347)
    {ARV-Adversarial Robustness Verification} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, X. Du, Y. Xu*, Q. Song, Y. Liu and R. Tan, "Vulnerability Analysis, Robustness Verification and Mitigation Strategy of Machine Learning-based Power Systems Stability Assessment Models under Adversarial Examples"
    [TSG] IEEE Transactions on Smart Grid, accepted in Oct. 2021. (JCR Q1, 2021 IF: 10.275)
    {ARV-Adversarial Robustness Verification} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, Y. Xu*, and R. Zhang, "An Interpretable Deep Learning Method for Power System Transient Stability Assessment via Tree Regularization"
    [TPWRS] IEEE Transactions on Power Systems, accepted in Oct. 2021. (JCR Q1, 2021 IF: 7.326)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, Y. Xu*, B. Dai, and R. Zhang, “An Integrated Transfer Learning Method for Power System Dynamic Security Assessment for Unlearned Faults with Missing Data"
    [TPWRS] IEEE Transactions on Power Systems, accepted in May 2021. (JCR Q1, 2021 IF: 7.326)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, Y. Xu*, J. Zhao, R. Zhang, "A Super-Resolution Perception based Data-driven Method for Power System Voltage Stability Assessment with Missing PMU Measurements"
    [CSEE JPS] CSEE Journal of Power and Energy Systems, accepted in Mar. 2021. (JCR Q1, 2021 IF: 6.014)
    {BDA-Big Data Analysis}{ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • Q. Song, R. Tan*, C. Ren and Y. Xu, “Understanding Credibility of Adversarial Examples against Smart Grid: A Case Study for Voltage Stability Assessment"
    [ACM e-Energy] The 12th ACM International Conference on Future Energy Systems , June 28 - July 2, 2021, Torino, Italy.
    {ARV-Adversarial Robustness Verification} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

2020

  • C. Ren, and Y. Xu*, "An Incremental Broad Learning Method for Real-Time Updating of Data-Driven Power System Dynamic Security Assessment"
    [IETGTD] IET Generation, Transmission & Distribution., 2020. (JCR Q3, 2020 IF: 2.503)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, R. Zhang*, and Z.Y. Dong, "Probabilistic and Adaptive Assessment of Fault Induced Delayed Voltage Recovery in Power Systems via Hybrid Randomized Learning"
    [IETGTD] IET Generation, Transmission & Distribution, 2020. (JCR Q3, 2020 IF: 2.503)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • W. Liu, C. Ren, and Y. Xu*, "PV Generation Forecasting with Missing Data: A Super-Resolution Perception Approach"
    [TSTE] IEEE Transactions on Sustainable Energy, 2020. (JCR Q1, 2021 IF: 8.310)
    {BDA-Big Data Analysis} {RE-Renewable Energy}

  • Q. Li, Y. Xu*, and C. Ren, " A Hierarchical Data-Driven Method for Event-based Load Shedding Against Fault-Induced Delayed Voltage Recovery in Power Systems"
    [TII] IEEE Transactions on Industrial Informatics, 2020. (JCR Q1, 2021 IF: 11.648)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment} {RE-Renewable Energy}

2019

  • C. Ren, and Y. Xu*, "Transfer Learning-based Power System Online Dynamic Security Assessment: Using One Model to Assess Many Unlearned Faults"
    [TPWRS] IEEE Transactions on Power Systems, 2019. (JCR Q1, 2021 IF: 7.326)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, Y. Xu*, Y. Zhang, and R. Zhang, "A Hybrid Randomized Learning System for Temporal-Adaptive Voltage Stability Assessment of Power Systems"
    [TII] IEEE Transactions on Industrial Informatics, 2019. (JCR Q1, 2021 IF: 11.648)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, Y. Xu*, "A Fully Data-Driven Method based on Generative Adversarial Networks for Power System Dynamic Security Assessment with Missing Data"
    [TPWRS] IEEE Transactions on Power Systems, 2019. (JCR Q1, 2021 IF: 7.326)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • Q. Li, Y. Xu*, C. Ren, and J. Zhao, "A Hybrid Data-Driven Method for Online Power System Dynamic Security Assessment with Incomplete PMU Measurements"
    [PESGM] IEEE Power & Energy Society General Meeting , USA, Aug, 2019. (Tier 1 Conference)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • F. Hui, K. Zhao, P. Zhang, C. Ren, and Y. Xu*, "Knowledge Acquisition of Online Static Voltage Stability Margin Assessment Based on Random Forest Algorithm"
    [CIEEC] 2019 IEEE 3rd International Electrical and Energy Conference , 2019.
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

2018

  • C. Ren, Y. Xu*, and Y. Zhang, "Post-disturbance transient stability assessment of power systems towards optimal accuracy-speed tradeoff"
    [PCMP] Protection and Control of Modern Power Systems, 2018.(JCR Q1, 2021 IF: 10.500)
    {BDA-Big Data Analysis} {ASS-AIOT & Large-Scale System Security and Stability Assessment}

  • C. Ren, Y. Xu*, Y. Zhang, C. Hu, "A multiple randomized learning based ensemble model for power system dynamic security assessment"
    [PESGM] IEEE PES General Meeting , Portland, OR, USA, Aug, 2018. (Tier 1 Conference)  [PDF]
    {BDA-Big Data Analysis}{ASS-AIOT & Large-Scale System Security and Stability Assessment}


Under Preparation

  • W. Liu, C. Ren, and Y. Xu*, "Robust Solar Power Forecasting Under Adversarial Attacks", 2023.


Ph.D. Thesis

  • C. Ren, "Advanced Data Analytics for Future Smart Grid Stability Assessment", Feb. 2022. [PDF Download Link]