A Hybrid Randomized Learning System for Temporal-Adaptive Voltage Stability Assessment of Power Systems. - Chao Ren 006; Yan Xu 005; Yuchen Zhang 001; Rui Zhang 057 (IEEE Trans. Ind. Informatics, 2020)

Understanding Credibility of Adversarial Examples against Smart Grid: A Case Study for Voltage Stability Assessment. - Qun Song 001; Rui Tan 001; Chao Ren 006; Yan Xu 005 (e-Energy, 2021)

A Hierarchical Data-Driven Method for Event-Based Load Shedding Against Fault-Induced Delayed Voltage Recovery in Power Systems. - Qiaoqiao Li; Yan Xu 005; Chao Ren 006 (IEEE Trans. Ind. Informatics, 2021)

A Gramian Angular Field Transform-Based Higher-Dimension Data-Driven Method for Post-Fault Short-Term Voltage Stability Assessment. - Yuchi Tang; Chao Ren 006; Rui Zhang 057; Shuo Ren (ISGT Asia, 2022)

Robustness Verification for Machine-Learning-Based Power System Dynamic Security Assessment Models Under Adversarial Examples. - Chao Ren 006; Yan Xu 005 (IEEE Trans. Control. Netw. Syst., 2022)

Vulnerability Analysis, Robustness Verification, and Mitigation Strategy for Machine Learning-Based Power System Stability Assessment Model Under Adversarial Examples. - Chao Ren 006; Xiaoning Du 001; Yan Xu 005; Qun Song 001; Yang Liu 003; Rui Tan 001 (IEEE Trans. Smart Grid, 2022)

A Transfer Learning Method for Forecasting Masked-Load With Behind-the-Meter Distributed Energy Resources. - Ziyan Zhou; Yan Xu 005; Chao Ren 006 (IEEE Trans. Smart Grid, 2022)

Towards Quantum Federated Learning. - Chao Ren 006; Han Yu 001; Rudai Yan; Minrui Xu; Yuan Shen; Huihui Zhu; Dusit Niyato; Zhao Yang Dong; Leong Chuan Kwek (CoRR, 2023)

A Universal Defense Strategy for Data-Driven Power System Stability Assessment Models Under Adversarial Examples. - Chao Ren 006; Yan Xu 005 (IEEE Internet Things J., 2023)

EFedDSA: An Efficient Differential Privacy-Based Horizontal Federated Learning Approach for Smart Grid Dynamic Security Assessment. - Chao Ren 006; Tianjing Wang; Han Yu 001; Yan Xu 005; Zhao Yang Dong (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Variational Quantum Circuit and Quantum Key Distribution-Based Quantum Federated Learning: A Case of Smart Grid Dynamic Security Assessment. - Chao Ren 006; Minrui Xu; Han Yu 001; Zehui Xiong; Zhenyong Zhang; Dusit Niyato (ICC, 2024)

Dual Calibration-based Personalised Federated Learning. - Xiaoli Tang 001; Han Yu 001; Run Tang; Chao Ren 006; Anran Li 001; Xiaoxiao Li (IJCAI, 2024)

Federated Model Heterogeneous Matryoshka Representation Learning. - Liping Yi; Han Yu 001; Chao Ren 006; Gang Wang 001; Xiaoguang Liu 001; Xiaoxiao Li (NeurIPS, 2024)

Generative AI-enabled Quantum Computing Networks and Intelligent Resource Allocation. - Minrui Xu; Dusit Niyato; Jiawen Kang 001; Zehui Xiong; Yuan Cao; Yulan Gao; Chao Ren 006; Han Yu 001 (CoRR, 2024)

pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning. - Liping Yi; Han Yu 001; Chao Ren 006; Heng Zhang; Gang Wang 001; Xiaoguang Liu 001; Xiaoxiao Li (CoRR, 2024)

Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks. - Yulan Gao; Chao Ren 006; Han Yu 001 (CoRR, 2024)

Advances and Open Challenges in Federated Learning with Foundation Models. - Chao Ren 006; Han Yu 001; Hongyi Peng; Xiaoli Tang 001; Anran Li 001; Yulan Gao; Alysa Ziying Tan; Bo Zhao; Xiaoxiao Li; Zengxiang Li; Qiang Yang 001 (CoRR, 2024)

pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning. - Liping Yi; Han Yu 001; Chao Ren 006; Heng Zhang; Gang Wang 001; Xiaoguang Liu 001; Xiaoxiao Li (CoRR, 2024)

Federated Graph Learning with Adaptive Importance-based Sampling. - Anran Li 001; Yuanyuan Chen; Chao Ren 006; Wenhan Wang; Ming Hu 003; Tianlin Li; Han Yu 001; Qingyu Chen (CoRR, 2024)

QFDSA: A Quantum-Secured Federated Learning System for Smart Grid Dynamic Security Assessment. - Chao Ren 006; Rudai Yan; Minrui Xu; Han Yu 001; Yan Xu 005; Dusit Niyato; Zhao Yang Dong (IEEE Internet Things J., 2024)

On Credibility of Adversarial Examples Against Learning-Based Grid Voltage Stability Assessment. - Qun Song 001; Rui Tan 001; Chao Ren 006; Yan Xu 005; Yang Lou; Jianping Wang 001; Hoay Beng Gooi (IEEE Trans. Dependable Secur. Comput., 2024)

SecFedSA: A Secure Differential-Privacy-Based Federated Learning Approach for Smart Cyber-Physical Grid Stability Assessment. - Chao Ren 006; Han Yu 001; Rudai Yan; Qiaoqiao Li; Yan Xu 005; Dusit Niyato; Zhao Yang Dong (IEEE Internet Things J., 2024)

Achieving 500X Acceleration for Adversarial Robustness Verification of Tree-Based Smart Grid Dynamic Security Assessment. - Chao Ren 006; Chunran Zou; Zehui Xiong; Han Yu 001; Zhao Yang Dong; Dusit Niyato (IEEE CAA J. Autom. Sinica, 2024)

ESQFL: Digital Twin-Driven Explainable and Secured Quantum Federated Learning for Voltage Stability Assessment in Smart Grids. - Chao Ren 006; Zhao Yang Dong; Han Yu 001; Minrui Xu; Zehui Xiong; Dusit Niyato (IEEE J. Sel. Top. Signal Process., 2024)

pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning. - Liping Yi; Han Yu 001; Chao Ren 006; Gang Wang 001; Xiaoguang Liu 001; Xiaoxiao Li (AAAI, 2025)

A Multi-Task Learning-Based Approach for Power System Short-Term Voltage Stability Assessment With Missing PMU Data. - Qiaoqiao Li; Chao Ren 006; Rui Zhang 057; Yan Xu 005 (IEEE Trans Autom. Sci. Eng., 2025)

Fairness-Aware Multi-Server Federated Learning Task Delegation Over Wireless Networks. - Yulan Gao; Chao Ren 006; Han Yu 001; Ming Xiao 001; Mikael Skoglund (IEEE Trans. Netw. Sci. Eng., 2025)

EVADE: Targeted Adversarial False Data Injection Attacks for State Estimation in Smart Grid. - Jiwei Tian; Chao Shen 001; Buhong Wang; Chao Ren 006; Xiaofang Xia; Runze Dong; Tianhao Cheng (IEEE Trans. Sustain. Comput., 2025)

Coded Cooperative Networks for Semi-Decentralized Federated Learning. - Shudi Weng; Ming Xiao 001; Chao Ren 006; Mikael Skoglund (IEEE Wirel. Commun. Lett., 2025)

Heterogeneity-Aware Client Sampling: A Unified Solution for Consistent Federated Learning. - Shudi Weng; Chao Ren 006; Ming Xiao 001; Mikael Skoglund (CoRR, 2025)

Cooperative Gradient Coding. - Shudi Weng; Ming Xiao 001; Chao Ren 006; Mikael Skoglund (CoRR, 2025)

Secure Cooperative Gradient Coding: Optimality, Reliability, and Global Privacy. - Shudi Weng; Chao Ren 006; Yizhou Zhao; Ming Xiao 001; Mikael Skoglund (CoRR, 2025)

Ten Challenging Problems in Federated Foundation Models. - Tao Fan 002; Hanlin Gu; Xuemei Cao 001; Chee Seng Chan; Qian Chen; Yiqiang Chen 001; Yihui Feng; Yang Gu 001; Jiaxiang Geng; Bing Luo; Shuoling Liu; WinKent Ong; et al. (IEEE Trans. Knowl. Data Eng., 2025)