Welcome to Prof. Ying Bi's homepage!
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Prof. Ying Bi School of Electrical and Information Engineering, Email: yingbi@zzu.edu.cn |
My [Google Scholar Profile] [DBLP Profile] [Research Gate] [Github] [The GP Bibliography]
My Homepage at Zhengzhou University
I am a member of Computaintional Intelligence Lab at Zhengzhou University
I was a member of Evolutionary Computation Research Group (ECRG), Center for Artificial Intelligence and Data Science, and Feature Analysis, Selection, and Learning (FASLIP) at Victoria University of Wellington
New Book
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Genetic Programming for Image Classification: An Automated Approach to Feature Learning XXVIII, 258pp. Springer International Publishing, 2021 DOI: https:doi.org10.1007978-3-030-65927-1 It is the first book on Genetic Programming for Image Classification. |
Call for Papers and Events
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Research Interests
My main research lies in Artificial Intelligence, Machine Learning, Computer Vision, and Evolutionary Computation.
evolutionary computer vision and image processing, particularly image classification, image analysis, image segmentation, edge detection, and object detection
evolutionary computation, particularly Genetic Programming, particle swarm optimization, bacterial foraing optimization, surrogate-assisted evolutionary algorithms, evolutionary multi-objective optimization
evolutionary machine learning, particularly supervised learning, classification, ensemble learning, transfer learning, few-shot learning, and evolutionary deep learning
feature engineering and learning, particularly feature extraction, feature construction, and feature learning
applications of evolutionary computation techniques, particularly fault diagnosis, remote sensing image analysis, aquaculture data analysis, face recognition, emotion analysis, scene analysis, job shop scheduling, resource allocation, supply chain management, etc.