activity
20182025
most citedDetection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach

376 citations · 744 across the 10 of their papers we have counts for

collaborators

9 papers

eess.SY2025★ 47 cited

AI-Enhanced Resilience in Power Systems: Adversarial Deep Learning for Robust Short-Term Voltage Stability Assessment under Cyber-Attacks

Yang Li, Shitu Zhang, Yuanzheng Li

In the era of Industry 4.0, ensuring the resilience of cyber-physical systems against sophisticated cyber threats is increasingly critical. This study proposes a pioneering AI-base…

eess.SP2023

Resource Allocation for Semantic Communication under Physical-layer Security

Yang Li, Xinyu Zhou, Jun Zhao

Semantic communication is deemed as a revolution of Shannon's paradigm in the six-generation (6G) wireless networks. It aims at transmitting the extracted information rather than t…

eess.SY2023★ 18 cited

Output Voltage Response Improvement and Ripple Reduction Control for Input-parallel Output-parallel High-Power DC Supply

Jianhui Meng, Xiaolong Wu, Tairan Ye +4

A three-phase isolated AC-DC-DC power supply is widely used in the industrial field due to its attractive features such as high-power density, modularity for easy expansion and ele…

cs.AI2022★ 117 cited

Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms

Lei Kou, Yang Li, Fangfang Zhang +4

In recent years, with the development of wind energy, the number and scale of wind farms are developing rapidly. Since offshore wind farm has the advantages of stable wind speed, c…

cs.CR2022★ 376 cited

Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach

Yang Li, Xinhao Wei, Yuanzheng Li +2

As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one…

eess.SP2021★ 106 cited

Deep Learning for Short-Term Voltage Stability Assessment of Power Systems

Meng Zhang, Jiazheng Li, Yang Li +1

To fully learn the latent temporal dependencies from post-disturbance system dynamic trajectories, deep learning is utilized for short-term voltage stability (STVS) assessment of p…