Chao Ren

Selected Published Journals

[1]. C. Ren, and 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, vol. 34, no. 6, pp. 5044-5052, Nov. 2019. (JCR Q1, 2022 IF: 6.6)

[2]. 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, vol. 39, no. 3, pp. 5431-5434, May 2024. (JCR Q1, 2022 IF: 6.6)

[3]. 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, vol. 38, no. 6, pp. 5501-5511, Nov. 2023. (JCR Q1, 2022 IF: 6.6)

[4]. 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, vol. 37, no. 5, pp. 3359-3369, Sept. 2022. (JCR Q1, 2022 IF: 6.6)

[5]. 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, vol. 36, no. 5, pp. 4856-4859, Sept. 2021. (JCR Q1, 2022 IF: 6.6)

[6]. 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, vol. 35, no. 1, pp. 821-824, Jan. 2020. (JCR Q1, 2022 IF: 6.6)

[7]. 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, vol. 13, no. 2, pp. 1622-1632, March 2022. (JCR Q1, 2022 IF: 9.6)

[8]. 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, vol. 16, no. 6, pp. 3672-3684, June 2020. (JCR Q1, 2022 IF: 12.3)

[9]. C. Ren, and Y. Xu^*, "Robustness Verification for Machine Learning-based Power System Dynamic Security Assessment"
[TCNS] IEEE Transactions on Control of Network Systems, vol. 9, no. 4, pp. 1645-1654, Dec. 2022. (JCR Q1, 2022 IF: 4.2)

[10]. C. Ren, Z.Y. Dong^*, M. Skoglund, Y. Gao, T. Wang, and R. Zhang, "Enhancing Dynamic Security Assessment in Smart Grids through Quantum Federated Learning"
[TASE] IEEE Transactions on Automation Science and Engineering, Early Access, Aug. 2024. (JCR Q1, 2022 IF: 5.9)

[11]. C. Ren, Z.Y. Dong, H. Yu^*, M. Xu, Z. Xiong, D. Niyato, and Z.Y. Dong, "ESQFL: Digital Twin-Driven Explainable and Secured Quantum Federated Learning for Stability Assessment in Smart Grids"
[JSTSP] IEEE Journal of Selected Topics in Signal Processing, Early Access, Jul. 2024. (JCR Q1, 2022 IF: 8.7)

[12]. 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, vol. 11, no. 5, pp. 8414-8426, March 2024. (JCR Q1, 2022 IF: 10.6)

[13]. 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, vol. 11, no. 4, pp. 5578-5588, Feb. 2024. (JCR Q1, 2022 IF: 10.6)

[14]. 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, vol. 10, no. 9, pp. 7568-7576, May 2023. (JCR Q1, 2022 IF: 10.6)

[15]. 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, vol. 13, no. 3, pp. 817-828, Sept. 2023. (JCR Q1, 2022 IF: 4.6)

[16]. 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, vol. 11, no. 3, pp. 800-802, March 2024. (JCR Q1, 2022 IF: 11.8)

[17]. 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, vol. 3, no. 2, pp. 1-10, April 2018. (JCR Q1, 2022 IF: 11.0)

[18]. 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, vol. 8, no. 1, pp. 76-85, Jan. 2022. (JCR Q1, 2022 IF: 7.1)

[19]. 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 , vol. 10, no. 1, pp. 427-431, Jan. 2024. (JCR Q1, 2022 IF: 7.1)

[20]. 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 Q1, 2022 IF: 2.5)

[21]. 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 Q1, 2022 IF: 2.5)

[22]. W. Liu, C. Ren, and Y. Xu^*, "PV Generation Forecasting with Missing Data: A Super-Resolution Perception Approach"
[TSTE] IEEE Transactions on Sustainable Energy, vol. 12, no. 2, pp. 1493-1496, April 2021. (JCR Q1, 2022 IF: 8.8)

[23]. W. Liu, C. Ren, and Y. Xu^*, "A Missing-Data Tolerant Hybrid Learning Method for Solar Power Forecasting"
[TSTE] IEEE Transactions on Sustainable Energy, vol. 13, no. 3, pp. 1843-1852, July 2022. (JCR Q1, 2022 IF: 8.8)

[24]. T. Wang, C. Ren, and Z.Y. Dong^*, "Domain-Adaptive Clustered Federated Transfer Learning for EV Charging Demand Forecasting"
[TPWRS] IEEE Transactions on Power Systems, 2024. (JCR Q1, 2022 IF: 6.5)

[25]. T. Wang, C. Ren, L. Feng, and Z.Y. Dong^*, "Weakly Supervised Battery SOH Evaluation for Battery with Error Imprecise Intervals"
[TEC] IEEE Transactions on Energy Conversion, 2024. (JCR Q1, 2022 IF: 5.0)

[26]. 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, 2022 IF:6.6)

[27]. 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, 2022 IF: 9.6)

[28]. 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, vol. 38, no. 4, pp. 3491-3503, July 2023. (JCR Q1, 2021 IF: 12.3)

[29]. Q. Song, R. Tan^*, C. Ren, Y. Xu, Y. Lou, J. Wang, and H. B. Gooi, "On Credibility of Adversarial Examples against Learning-Based Grid Voltage Stability Assessment"
[TDSC] IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 2, pp. 585-599, March-April 2024. (JCR Q1, 2022 IF: 7.3)

[30]. J. Tian, C. Shen, B. Wang ^*, and C. Ren, "EVADE: Targeted Adversarial False Data Injection Attacks for State Estimation in Smart Grid"
[TSUTC] IEEE Transactions on Sustainable Computing, 2024. (JCR Q1, 2022 IF: 3.9)

[31]. 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 Q2, 2022 IF: 2.4)

[32]. Z. Zhou, C. Ren, and Y. Xu^*, "Forecasting Masked-Load with Invisible Distributed Energy Resources based on Transfer Learning and Bayesian Tuning"
[IETECE] Energy Conversion and Economics , 2024.

Selected Published Conferences

[1]. 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)

[2]. 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)

[3]. L. Yi, H. Yu^*, C. Ren, G. Wang, "Federated Model Heterogeneous Matryoshka Representation Learning"
[NeurIPS] submitted to Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024. (NeurIPS 2024, CCF A)

[4]. X. Tang, H. Yu^*, C. Ren, A. Li, X. Li, "Dual Calibration-based Personalised Federated Learning"
[IJCAI] International Joint Conference on Artificial Intelligence, 2024. (IJCAI 2024, CCF A)

[5]. 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)

[6]. 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)

[7]. 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)

[8]. 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. (Tier 1 Conference)

[9]. 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.

Under Review Manuscripts

[1]. ---, ---, C. Ren^*, ---, ---, ---, ---^*, "GBS-Assisted Generative AI Application on Universal Programmable Quantum Photonic Chip"
[NCS] submitted to Nature Computational Science , 2024. (JCR Q1, 2022 IF: 12.0)

[2]. C. Ren, H. Yu^*, H. Peng, X. Tang, A. Li, Y. Gao, Alysa, B. Zhao, X. Li, Z. Li, Q. Yang, "Advances and Open Challenges in Federated Foundation Models"
[COMST] submitted to IEEE Communications Surveys and Tutorials, 2024. (JCR Q1, 2022 IF: 35.6)

[3]. C. Ren, R. Yan, H. Zhu, M. Xu, H. Yu^*, Y. Shen, Y. Xu, M. Skoglund, 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, 2022 IF: 10.4)

[4]. C. Ren, Y. Tang, M, Skoglund^*, Z. Dong, H. Yu, T. Wang, and M. Xiao, "QFEVAL: Quantum Federated Ensembled Variational Adaptive Learning for Efficient Dynamic Security Assessment in Smart Grids"
[JSAC] submitted to IEEE Journal on Selected Areas in Communications, 2024. (JCR Q1, 2021 IF: 13.8)

[5]. C. Ren^*, X. Li, and H. Yu, "Efficient Quantum Federated Learning Based On Federated Quantum Simultaneous Perturbation Stochastic Approximation"
[IOTJ] submitted to IEEE Internet of Things Journal, 2024. (JCR Q1, 2022 IF: 10.6)

[6]. 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"
[CSEE JPS] submitted to CSEE Journal of Power and Energy Systems , accepted in Jun. 2023. (JCR Q1, 2022 IF: 7.1)

[7]. C. Ren, YP. Tang, L. Yi, A. Li, Y. Gao, H. Yu^*, SJ. Huang, "Towards Federated Active Learning"
[IOTJ] submitted to IEEE Internet of Things Journal, 2024. (JCR Q1, 2022 IF: 10.6)

[8]. T. Wang, Y. Wang, H. Shao, Y. Xu^*, C. Ren, and Q. Song, "BatteryCDE: A Transferable Future Capacity Estimation Method for Battery Degradation with Irregular Sampling and Missing Data"
[TPWRS] submitted to IEEE Transactions on Power Systems, 2024. (JCR Q1, 2022 IF: 6.6)

[9]. T. Wang, C. Ren, Q. Song, and Z.Y. Dong^*, "A Physics-Informed Data-Driven Method for Li-Ion Battery Degradation Estimation"
[TTE] submitted to IEEE Transactions on Transportation Electrifications, 2024. (JCR Q1, 2022 IF: 7.2)

[10]. Y. Tang, S. Huang, C. Ren, H. Yu^*, X. Li, "GenMQD: Semantic-aligned Query Synthesis for Active Learning"
[ICLR] submitted to The Thirteenth International Conference on Learning Representations, 2025. (ICLR 2025, CCF A)

[11]. Z. Zhou, C. Ren, and Y. Xu^*, "A Causality-Driven Global Forecasting Approach for Enhanced Residential Net Load Forecasting"
[TSG] submitted to IEEE Transactions on Smart Grid, 2024. (JCR Q1, 2022 IF: 9.6)

[12]. L. Yi, H. Yu^*, C. Ren, G. Wang, X. Liu, "pFedES: Generalized Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning"
[AAAI] submitted to The 39th Annual AAAI Conference on Artificial Intelligence, 2025. (AAAI 2025, CCF A)

[13]. L. Yi, H. Yu^*, C. Ren, G. Wang, X. Liu, X. Li, "pFedLoRA: Model-Heterogeneous Personalized Federated Learning with Homogeneous Low-Rank Adapter Sharing"
[AAAI] submitted to The 39th Annual AAAI Conference on Artificial Intelligence, 2025. (AAAI 2025, CCF A)

[14]. ---, C. Ren, --^*, ---, "Double-Blind"
[KDD] submitted to The 31st SIGKDD Conference on Knowledge Discovery and Data Mining, 2025. (KDD 2025, CCF A)

[15]. Q. Li, Y. Xu^*, C. Ren, and R. Zhang, "Enhancing Trustworthiness of Data-Driven Power System Dynamic Security Assessment via Hybrid Credibility Learning"
[TPWRS] submitted to IEEE Transactions on Power Systems, 2024. (JCR Q1, 2022 IF: 6.6)

[16]. X. Huang, Z. Zhang^*, Z. Yang, C. Ren, David K. Y. Yau, and R. Deng, "FedCLD: A Federated Contrastive Learning Approach for Detecting Stealthy Attacks on Smart Grid with Massive Unlabeled Data"
[TSG] submitted to IEEE Transactions on Smart Grid, 2024. (JCR Q1, 2022 IF: 9.6)

[17]. S. Weng, M. Xiao^*, C. Ren, and M. Skoglund, "Coded Cooperative Networks for Semi-Decentralized Federated Learning"
[WCL] submitted to IEEE Wireless Communications Letters, 2024. (JCR Q1, 2022 IF: 6.3)

[18]. 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 Industrial Informatics, 2024. (JCR Q1, 2022 IF: 12.3)

[19]. J. Liu, J. Liu^*, T. Ding, R. Yan, and C. Ren, "Transient Stability Discrimination via Incorporation of The Mechanism-Induced Criterion and Adaptive Localized Generalization Error Estimation"
[TPWRS] submitted to IEEE Transactions on Power Systems, 2024. (JCR Q1, 2022 IF: 6.6)

[20]. L. Yi, H. Yu^*, C. Ren, G. Wang, X. Li, "pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning"
[WWW] submitted to ACM THE WEB CONFERENCE 2025, 2025. (WWW 2025, CCF A)

[21]. Y. Gao, C. Ren, and H. Yu^*, "Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks"
[TNSE] submitted to IEEE Transactions on Network Science and Engineering, 2024. (JCR Q1, 2022 IF: 7.2)

[22]. J. Tian, C. Shen, B. Wang ^*, and C. Ren, "ADMM-based Adversarial False Data Injection Attacks against Multi-Label Locational Detection"
[TDSC] submitted to IEEE Transactions on Dependable and Secure Computing, 2024. (JCR Q1, 2022 IF: 7.3)

[23]. L. Yi, H. Yu^*, C. Ren, G. Wang, X. Liu, "pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning"
[KDD] submitted to The 31st SIGKDD Conference on Knowledge Discovery and Data Mining, 2025. (KDD 2025, CCF A)

[24]. Z. Zhou, C. Ren, Y. Xu^*, "A Vertical Federated Learning Method for Masked-Load Forecasting Towards Collaborative-Training and Privacy-Preserving"
[TSG] submitted to IEEE Transactions on Smart Grid, 2024. (JCR Q1, 2022 IF: 9.6)

[25]. Z. Zhou, C. Ren, and Y. Xu^*, "An Ensembled Domain Transfer Method for Interval Forecasting of Masked-Load with Invisible Distributed Energy Resources"
[TPWRS] submitted to IEEE Transactions on Power Systems, 2024. (JCR Q1, 2022 IF: 6.6)

[26]. Q. Li, C. Ren, and Y. Xu^*, "Multi-task Learning-based Power System Short-Term Voltage Stability Assessment with Missing PMU data"
[TASE] submitted to IEEE Transactions on Automation Science and Engineering, 2024. (JCR Q1, 2022 IF: 5.6)

[27]. T. Wang, C. Ren, C. Yip, and Z.Y. Dong^*, "Domain-Adaptive Clustered Federated Transfer Learning for EV Charging Demand Forecasting"
[PESGM] submitted to IEEE Power & Energy Society General Meeting, 2025. (Tier 1 Conference)

[28]. 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"
[SIGMOD] submitted to ACM Conference on Management of Data, 2025. (SIGMOD 2025, CCF A)

[29]. 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)

[30]. 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)

[31]. 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)

Selected Publications

Selected Published Journals

Selected Published Conferences

Under Review Manuscripts

Ph.D. Thesis