| Rank: | Professor |
| Email： | jbzwq@126.com |
| Department： | Department of Computer Science, North China Electric Power University |
| Research： | Smart Grid and Big Data, Power Computer Vision, Image Processing |
Wenqing Zhao, female, Ph.D., North China Electric Power University (NCEPU), is currently a professor in the Department of Computer Science of NCEPU. 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.
She has long been engaged in the research on the application of artificial intelligence in electric power system. She has presided over and participated in the research work of the Natural Science Foundation of Hebei Province, the National Natural Science Foundation of China, a number of projects funded by the Special Funds for the Fundamental Research Operating Costs of the Central Universities, as well as the State Grid Science and Technology Project. She won the second and third prizes of Hebei Provincial Scientific and Technological Progress. She has published more than 80 papers, many of which have been searched by SCI and EI, and has published the book ‘Electric Power Visual Technology’, and edited the ‘Encyclopedia of Electric Power of China (Third Edition)’. (Translate by Machine)
Selected Awards
- Head of Baoding Key Laboratory of Knowledge Computing and Data Security
- Senior Member of the Chinese Society of Picture and Graphics
- Member of the Imaging Detection and Perception Committee of the Chinese Society of Image and Graphics
- Member of the Specialized Committee on Machine Vision
- Member of the Professional Committee of Artificial Intelligence and Electrical Applications of the Chinese Society of Electrotechnology
- Executive Director of Hebei Computer Society
- Won the third prize for scientific and technological progress in Hebei Province
- 1 Second Prize for Scientific and Technological Progress in Hebei Province
- He has presided over or participated in the research work of the Natural Science Foundation of Hebei Province, the National Natural Science Foundation of China, a number of projects funded by the Special Funds for the Fundamental Scientific Research Operating Expenses of the Central Universities, and the State Grid Science and Technology Project.
- He has published a number of papers and the book “Power Vision Technology”
Recent works
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Dataset: Transient dataset of household appliances with Intensive switching events
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…
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Blind Image Quality Evaluation with Multi-Layer Feature Fusion and Semantic Enhancement
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…
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Transformer Oil Leakage Detection Based on Depth Separable Void Convolutional Pyramid
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…
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Electric Vehicle Charging Path Planning Study
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…