23 citations · 24 across the 4 of their papers we have counts for
5 papers
TOAST: Task-Oriented Adaptive Semantic Transmission over Dynamic Wireless Environments
Sheng Yun, Jianhua Pei, Ping Wang
The evolution toward 6G networks demands a fundamental shift from bit-centric transmission to semantic-aware communication that emphasizes task-relevant information. This work intr…
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Haoqi Huang, Ping Wang, Jianhua Pei +3
The rapid expansion of data from diverse sources has made anomaly detection (AD) increasingly essential for identifying unexpected observations that may signal system failures, sec…
Deep Generative Model-Aided Power System Dynamic State Estimation and Reconstruction with Unknown Control Inputs or Data Distributions
Jianhua Pei, Ping Wang, Jingyu Wang +1
Fast and robust dynamic state estimation (DSE) is essential for accurately capturing the internal dynamic processes of power systems, and it serves as the foundation for reliably i…
Latent Diffusion Model-Enabled Low-Latency Semantic Communication in the Presence of Semantic Ambiguities and Wireless Channel Noises
Jianhua Pei, Cheng Feng, Ping Wang +2
Deep learning (DL)-based Semantic Communications (SemCom) is becoming critical to maximize overall efficiency of communication networks. Nevertheless, SemCom is sensitive to wirele…
Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertainties
Jianhua Pei, Jingyu Wang, Dongyuan Shi +1
Power system cyber-physical uncertainties, including measurement ambiguities stemming from cyber attacks and data losses, along with system uncertainties introduced by massive rene…