Chao Ren
Orcid: 0000-0001-9096-8792Affiliations:
- Nanyang Technological University, Interdisciplinary Graduate School, School of Electrical and Electronic Engineering, Singapore
According to our database1,
Chao Ren
authored at least 33 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
IEEE Trans. Knowl. Data Eng., July, 2025
CoRR, July, 2025
Heterogeneity-Aware Client Sampling: A Unified Solution for Consistent Federated Learning.
CoRR, May, 2025
IEEE Wirel. Commun. Lett., March, 2025
EVADE: Targeted Adversarial False Data Injection Attacks for State Estimation in Smart Grid.
IEEE Trans. Sustain. Comput., 2025
Fairness-Aware Multi-Server Federated Learning Task Delegation Over Wireless Networks.
IEEE Trans. Netw. Sci. Eng., 2025
A Multi-Task Learning-Based Approach for Power System Short-Term Voltage Stability Assessment With Missing PMU Data.
IEEE Trans Autom. Sci. Eng., 2025
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
ESQFL: Digital Twin-Driven Explainable and Secured Quantum Federated Learning for Voltage Stability Assessment in Smart Grids.
IEEE J. Sel. Top. Signal Process., July, 2024
Achieving 500X Acceleration for Adversarial Robustness Verification of Tree-Based Smart Grid Dynamic Security Assessment.
IEEE CAA J. Autom. Sinica, March, 2024
SecFedSA: A Secure Differential-Privacy-Based Federated Learning Approach for Smart Cyber-Physical Grid Stability Assessment.
IEEE Internet Things J., February, 2024
On Credibility of Adversarial Examples Against Learning-Based Grid Voltage Stability Assessment.
IEEE Trans. Dependable Secur. Comput., 2024
QFDSA: A Quantum-Secured Federated Learning System for Smart Grid Dynamic Security Assessment.
IEEE Internet Things J., 2024
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning.
CoRR, 2024
CoRR, 2024
Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks.
CoRR, 2024
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning.
CoRR, 2024
Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Variational Quantum Circuit and Quantum Key Distribution-Based Quantum Federated Learning: A Case of Smart Grid Dynamic Security Assessment.
Proceedings of the IEEE International Conference on Communications, 2024
2023
EFedDSA: An Efficient Differential Privacy-Based Horizontal Federated Learning Approach for Smart Grid Dynamic Security Assessment.
IEEE J. Emerg. Sel. Topics Circuits Syst., September, 2023
A Universal Defense Strategy for Data-Driven Power System Stability Assessment Models Under Adversarial Examples.
IEEE Internet Things J., 2023
2022
A Transfer Learning Method for Forecasting Masked-Load With Behind-the-Meter Distributed Energy Resources.
IEEE Trans. Smart Grid, 2022
Vulnerability Analysis, Robustness Verification, and Mitigation Strategy for Machine Learning-Based Power System Stability Assessment Model Under Adversarial Examples.
IEEE Trans. Smart Grid, 2022
Robustness Verification for Machine-Learning-Based Power System Dynamic Security Assessment Models Under Adversarial Examples.
IEEE Trans. Control. Netw. Syst., 2022
A Gramian Angular Field Transform-Based Higher-Dimension Data-Driven Method for Post-Fault Short-Term Voltage Stability Assessment.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022
2021
A Hierarchical Data-Driven Method for Event-Based Load Shedding Against Fault-Induced Delayed Voltage Recovery in Power Systems.
IEEE Trans. Ind. Informatics, 2021
Understanding Credibility of Adversarial Examples against Smart Grid: A Case Study for Voltage Stability Assessment.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021
2020
A Hybrid Randomized Learning System for Temporal-Adaptive Voltage Stability Assessment of Power Systems.
IEEE Trans. Ind. Informatics, 2020