School of Engineering and Computer Science Te Kura Mātai Pūkaha, Pūrorohiko

Ying Bi

Ying Bi profile picture

Student
School of Engineering and Computer Science

Thesis Info

Research Interests: Evolutionary Image Analysis
Thesis Title: Genetic Programming for Feature Learning in Image Classification
Supervisor: Prof Mengjie Zhang, Prof Bing Xue

 

My Personal Homepage has more details.

Research Interests

My main research lies in Artificial Intelligence, Machine Learning, Big Data, and Computer Vision.

  • Evolutionary Computation, particularly Genetic Programming

  • Image Analysis, Image Classification

  • Feature Learning, Feature Extraction

Authored Book

Ying Bi, Bing Xue, and Mengjie Zhang. Genetic Programming for Image Classification: An Automated Approach to Feature Learning, Springer International Publishing 2021, DOI: https:doi.org10.1007978-3-030-65927-1. [http] [Code]

Papers

  1. Bo Peng, Ying Bi*, Bing Xue, Mengjie Zhang, and Shuting Wan. Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis. IEEE Computational Intelligence Magazine, vol. , no. , pp.1-13, Accepted on 6 April 2021. (Corresponding Author). [http] [pdf]

  2. Ying Bi, Bing Xue, and Mengjie Zhang. Multi-Objective Genetic Programming for Feature Learning in Face Recognition, Applied Soft Computing, vol. , no. , pp., 2021, DOI: https:doi.org10.1016j.asoc.2021.107152. [http] [pdf]

  3. Ying Bi, Bing Xue, and Mengjie Zhang. Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification, IEEE Transactions on Cybernetics, vol. , no. , pp.1-14, DOI: 10.1109/tcyb.2021.3049778. [http] [pdf]

  4. Bo Peng, Shuting Wan, Ying Bi*, Bing Xue, and Mengjie Zhang. Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machine Fault Diagnosis, IEEE Transactions on Cybernetics, vol. , no. , pp.1-15, 25 November 2020. DOI: 10.1109/TCYB.2020.3032945 (Corresponding Author). [http] [pdf]

  5. Ying Bi, Bing Xue, and Mengjie Zhang. Genetic Programming with Image-Related Operators and A Flexible Program Structure for Feature Learning in Image Classification, IEEE Transactions on Evolutionary Computation, vol. , no. , pp.1-15, 9 June 2020. DOI: 10.1109/TEVC.2020.3002229. [http] [pdf] [Source Code]

  6. Ying Bi, Bing Xue, and Mengjie Zhang. An Effective Feature Learning Approach Using Genetic Programming with Image Descriptors for Image Classification, IEEE Computational Intelligence Magazine, vol. 15, no. 2, pp., May 2020. [http] [pdf] [Source Code]

  7. Ying Bi, Bing Xue, and Mengjie Zhang. Genetic Programming with A New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification, IEEE Transactions on Cybernetics, vol. , no. , pp. 1-15, 2020. DOI: 10.1109/TCYB.2020.2964566. [http] [Source Code]

  8. Harith Al-Sahaf, Ying Bi, Qi Chen, Andrew Lensen, Yi Mei, Yanan Sun, Binh Tran, Bing Xue, and Mengjie Zhang (Alphabetical Order). A Survey on Evolutionary Machine Learning. Journal of the Royal Society of New Zealand. DOI:10.1080/03036758.2019.1609052. [http]

  9. Ying Bi, Bing Xue, Mengjie Zhang. Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. Proceedings of The Sixteenth International Conference on Parallel Problem Solving from Nature (PPSN 2020), Lecture Notes in Computer Science. Vol. 12269. Springer. Leiden, The Netherlands, September 5-9, 2020. pp. 3-18. [http] [pdf]

  10. Ying Bi, Bing Xue, and Mengjie Zhang. A Survey on Genetic Programming to Image Analysis. Journal of Zhengzhou University (Engineering Science). Vol. 39, No. 06. 2018. pp.3-13. (In Chinese). [http]

  11. Ying Bi, Bing Xue, Mengjie Zhang. A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification. Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence (AI2018), Lecture Notes in Computer Science. Vol. 11320. Springer. Wellington, New Zealand.11-14 December 2018. pp. 251-257. [http] [pdf]

  12. Ying Bi, Bing Xue, Mengjie Zhang. An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming. Proceeding of the 21th European Conference on Applications of Evolutionary Computation (EvoApplications 2018). Lecture Notes in Computer Science. Vol. Parma, Italy. 4-6 April 2018. pp. 421- 438. [http] [pdf] [Source Code]

  13. Zichu Yan, Ying Bi*, Bing Xue, Mengjie Zhang. Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. Proceedings of IEEE Congress on Evolutionary Computation (CEC 2021). Kraków, Poland (VIRTUAL). 28 June - 1 July 2021. (Corresponding Author) (Accepted) [http]

  14. Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang. Genetic Programming with A New Representation and A New Mutation Operator for Image Classification. Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2021). Lille, France. 10-14 July 2021. (Accepted) [http]

  15. Ying Bi, Bing Xue, and Mengjie Zhang. Automatically Extracting Features for Face Classification Using Multi-Objective Genetic Programming. Proceedings of Genetic and Evolutionary Computation Conference Companion. ACM Press. Cancun, Mexico. July 8th-12th 2020, pp 117–118. [http] [pdf]

  16. Ying Bi, Bing Xue, and Mengjie Zhang. Genetic Programming-Based Feature Learning for Facial Expression Classification. Proceedings of IEEE Congress on Evolutionary Computation (CEC 2020). Glasgow, UK, July 19 - 24th 2020. pp 1-8. [http]

  17. Ying Bi, Bing Xue, and Mengjie Zhang. An Automated Ensemble Learning Framework Using Genetic Programming for Image Classification. Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2019). ACM Press. Prague, Czech Republic. 13-17 July 2019. pp 365-373. [http] [pdf]

  18. Ying Bi, Bing Xue, and Mengjie Zhang. Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. Proceedings of IEEE Congress on Evolutionary Computation (CEC). IEEE Press. Wellington, New Zealand. 10-13 June, 2019. pp. 3197-3204. [http] [pdf] [Source Code]

  19. Ying Bi, Mengjie Zhang, and Bing Xue. Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification. Proceedings of IEEE Congress on Evolutionary Computation (CEC). IEEE Press. Rio de Janeiro, Brazil. 8-13 July 2018. pp. 1-8. (Nominated as Best Student Paper Award) [http] [pdf]

  20. Ying Bi, Mengjie Zhang and Bing Xue. An Automatic Region Detection and Processing Approach in Genetic Programming for Binary Image Classification. Proceedings of the 32th International Conference on Image and Vision Computing New Zealand (IVCNZ 2017). IEEE Press. Christchurch, New Zealand. 4 - 6 December 2017. pp. 1-6. [http] [pdf]

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