Wenqing Zhao

Authors Dongyang Zhang1,2, Xiaohu Zhang1 ,Lei Hua1 ,Jian Di1 , Wenqing Zhao1,3 , Yumei Ma1 Affiliations Abstract: With the development of Non-Intrusive Load Monitoring (NILM), it has become feasible to perform device identification, energy consumption decomposition, and load switching detection using Deep Learning (DL) methods. Similar to other machine learning […]

Dataset: Transient dataset of household appliances with Intensive switching events Find more»

Member

Wenqing Zhao, female, Ph.D., North China Electric Power University (NCPU), is currently a professor in the Department of Computer Science of NCPU. She is a member of Imaging Detection and Perception Specialised Committee and Machine Vision Specialised Committee of the Chinese Society of Image Graphics, a member of Artificial Intelligence and Electrical Applications Specialised Committee of the Chinese Society of Electrotechnology, and an executive director of Hebei Computer Society…

Wenqing Zhao Find more»

Research

Blind Image Quality Evaluation with Multi-Layer Feature Fusion and Semantic Enhancement

Wenqing Zhao

Abstract: Aiming at the existing blind image quality evaluation algorithms with low performance in the face of real distorted images, this paper proposes the multi-level feature fusion and semantic information enhancement for NR (MFFSE-NR), which combines multi-layer feature fusion and semantic enhancement for NR. The local and global distortion features

Blind Image Quality Evaluation with Multi-Layer Feature Fusion and Semantic Enhancement Find more»

Research

Transformer Oil Leakage Detection Based on Depth Separable Void Convolutional Pyramid

Wenqing Zhao

Abstract: In order to reduce the impact and improve the detection efficiency of transformer oil leakage inspection images, a transformer oil leakage detection model based on depth-separable void convolution pyramid is proposed. Firstly, the ordinary convolutional blocks in the cavity pyramid are modified to depth-separable convolutional blocks, so as to

Transformer Oil Leakage Detection Based on Depth Separable Void Convolutional Pyramid Find more»

Research

Electric Vehicle Charging Path Planning Study

Wenqing Zhao

Abstract: Electric vehicle charging is an important constituent of electric vehicles to provide power, and giving electric vehicles the most convenient charging path planning service is an indispensable part of the development of electric vehicles. Considering the conditions of transportation network, distribution network and electric vehicle itself as the hindering clay

Electric Vehicle Charging Path Planning Study Find more»