Welcome to Dr Ying Bi's homepage!
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Dr Ying Bi School of Engineering and Computer Science(SECS), Email: Ying.Bi@ecs.vuw.ac.nz |
My [Google Scholar Profile] [DBLP Profile] [Research Gate] [Github] [The GP Bibliography]
My Homepage at Victoria University of Wellington
Am a member of Evolutionary Computation Research Group (ECRG) at Victoria University of Wellington
Am a member of 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. |
Survey Paper
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends
Author: Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang.
Call for Papers and Events
Applied Soft Computing: Special issue on Evolutionary Deep Learning for Computer Vision and Image Processing, 2022-2023 Call for Papers
Algorithms: special issue on Artificial Intelligence for Fault Detection and Diagnosis, 2021-2022 Call for Papers
News
Sep 2022 Our paper: A Survey on Fault Diagnosis of Rolling Bearings is accepted by Algorithms
Sep 2022 Our paper: Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming is accepted by AJCAI 2022
Sep 2022 Our paper: Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation is accepted by IEEE SSCI 2022
Aug 2022 Our paper: Genetic Programming to Automatically Learn High-level Features for Crop Classification is accepted by Remote Sensing [http]
June 2022 Our paper: A New Artificial Intelligent Approach to Buoy Detection for Mussel Farming is accepted by Journal of the Royal Society of New Zealand [http]
May 2022 Our paper: Multitask Feature Learning as Multiobjective Optimisation: A New Genetic Programming Approach to Image Classification is accepted by IEEE Transactions on Cybernetics [http]
April 2022 Our paper: Genetic Programming for Image Classification: A New Program Representation with Flexible Feature Reuse is accepted by IEEE Transactions on Evolutionary Computation [http]
March 2022 Our paper: An Object-based Genetic Programming Approach to Cropland Field Extraction is accepted by Remote Sensing [http]
Jan 2022 Our paper on Using a Small Number of Training Instances in Genetic Programming for Face Image Classification is accepted by Information Sciences [http]
Jan 2022 Our paper on Genetic Programming for Feature Extraction and Construction in Image Classification is accepted by Applied Soft Computing http]
Research Interests
My main research lies in Artificial Intelligence, Machine Learning, Computer Vision, and Evolutionary Computation.
Evolutionary computer vision, particularly image classification and analysis
Evolutionary computation, particularly genetic programming, particle swarm optimisation, surrogate-assisted evolutionary algorithms
Evolutionary machine learning, ensemble learning and transfer learning
Evolutionary multi-objective optimisation
Feature extraction, feature construction, and feature learning
Applications of Evolutionary Computation, including image analysis, fault diagnosis, remote sensing image analysis, aquaculture data analysis, and others