Research Outputs

Year 1 (March 2020--June 2021)

Authored Book

1. Fangfang Zhang, Su Nguyen, Yi Mei, and Mengjie Zhang. Genetic Programming for Production Scheduling: An Evolutionary Learning Approach, Springer Book Series on Machine Learning: Foundations, Methodologies, and Applications, 2021, DOI: https://doi.org/10.1007/978-981-16-4859-5.
2. 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.org/10.1007/978-3-030-65927-1. Code is available here

Refereed Journal Papers

1. Ying Bi, Bing Xue, and Mengjie Zhang. A Divide-and-Conquer Genetic Programming Algorithm with Ensembles for Image Classification. IEEE Transactions on Evolutionary Computation. DOI: 10.1109/TEVC.2021.3082112. 15pp, May 2021.(ARC/ERA Tier A*, Q1, SCI, EI and DBLP indexed, IF = 11.554)

2. Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. "Multi-Tree Genetic Programming with New Operators for Transfer Learning in Symbolic Regression with Incomplete Data". IEEE Transactions on Evolutionary Computation. DOI: 10.1109/TEVC.2021.3079843, 15pp, May 2021 (ARC/ERA Tier A, Q1, SCI, EI and DBLP indexed, IF = 11.554*)

3. Bin Wang, Bing Xue, Mengjie Zhang. "Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification". IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2021.3054400. 14pp, Feb 2021 (ARC/ERA Tier A, Q1, SCI, EI and DBLP indexed, IF = 10.451*)

4. Owen, C. A., Dick, G., & Whigham, P. A. (2020). Characterizing Genetic Programming Error Through Extended Bias and Variance Decomposition. IEEE Transactions on Evolutionary Computation, 24(6), 1164-1176. Dec. 2020 (ARC/ERA Tier A, Q1, SCI, EI and DBLP indexed, IF = 11.554*

5. Damien O'Neill, Bing Xue, Mengjie Zhang. "Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks". IEEE Transactions on Evolutionary Computation. DOI: 10.1109/TEVC.2021.3083315. May 2021. 15pp. (ARC/ERA Tier A, Q1, SCI, EI and DBLP indexed, IF = 11.554*)

6. Qi Chen, Bing Xue, Mengjie Zhang. "Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression". IEEE Transactions on Evolutionary Computation. DOI: 10.1109/TEVC.2020.3046569. 15pp. Dec. 2020 (ARC/ERA Tier A, Q1, SCI, EI and DBLP indexed, IF = 11.554*)

7. Ying Bi, Bing Xue, and Mengjie Zhang. “Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification”. IEEE Transactions on Cybernetics. DOI: 10.1109/tcyb.2021.3049778. 14pp, Feb 2021. (ARC/ERA Tier A, Q1, SCI, EI and DBLP indexed, IF = 11.448)

8. Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang. "Developing Interval-based Cost-sensitive Classifiers by Genetic Programming for Binary High-dimensional Unbalanced Classification". IEEE Computational Intelligence Magazine. Vol. 16, No. 1, pp. 84-98, Feb. 2021(ARC/ERA Tier A, Q1, SCI, EI and DBLP indexed, IF=11.356)

9. Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mengjie Zhang. "Automatically Evolving Texture Image Descriptors using the Multi-tree Representation in Genetic Programming using Few Instances". Evolutionary Computation Journal (ECJ, MIT Press). DOI: 10.1162/evco_a_00284. June 2021. 34pp. (ARC/ERA Tier A, Q2, SCI, EI and DBLP indexed)

10. Anda Li, Bing Xue, Mengjie Zhang. "Improved Binary Particle Swarm Optimization for Feature Selection with New Initialization and Search Space Reduction Strategies". Applied Soft Computing. DOI: https://doi.org/10.1016/j.asoc.2021.107302, July 2021. (Q1, SCI, EI and DBLP indexed, impact factor =6.725)

11. Valenza-Troubat N, Hilario E, Monanari S, Morrison-Whittle P, Ashton D, Ritchie P, WELLENREUTHER M. "Evaluating new species for aquaculture: A genomic dissection of growth in the New Zealand silver trevally (Pseudocaranx georgianus)". Evolutionary Applications. DOI: https://doi.org/10.1111/eva.13281, 12pp. 2021.

12. Irving Kate, Wellenreuther Maren, Ritchie Peter A.. "Description of the growth hormone gene of the Australasian snapper, Chrysophrys auratus, and associated intra- and interspecific genetic variation". Journal of Fish Biology. DOI: https://doi.org/10.1111/jfb.14810. 2021, 11pp.

International Conference Papers

1. Zichu Yan, Ying Bi, Bing Xue and Mengjie Zhang. “Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification”. Proceedings of IEEE Congress on Evolutionary Computation (CEC 2021). Online-only Conference, 28 June - 1 July 2021, 8pp. (ARC/ERA Tier A)

2. Yunhan Yang, Bing Xue, Linley Jesson and Mengjie Zhang. “Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction”. Proceedings of IEEE Congress on Evolutionary Computation (CEC 2021). Online-only Conference, 28 June - 1 July 2021, (ARC/ERA Tier A)

3. Dick Grant, Caitlin A. Owen, and Peter A. Whigham. “Feature standardisation and coefficient optimisation for effective symbolic regression”. Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pp. 306-314, 2020. (ARC/ERA CORE Tier A)

4. Baligh Al-Helali, Qi Chen, Bing Xue and Mengjie Zhang. “GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data”. Proceedings ofIEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021, (ARC/ERA Tier A)

5. Arka Ghosh, Bing Xue and Mengjie Zhang. “Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems”. Proceedings ofIEEE Congress on Evolutionary Computation (CEC 2021). Krakow, Poland, 28 June - 1 July 2021 (ARC/ERA Tier A)

6. Bin Wang, Wenbin Pei, Bing Xue, and Mengjie Zhang. “Evolving Local Interpretable Model-agnostic Explanations for Deep Neural Networks in Image Classification”. Proceedings of 2021 Genetic and Evolutionary Computation Conference (GECCO 2021 Companion). ACM Press. Lille, France July 10-14, 2021 (ARC/ERA CORE Tier A)

7. Shaolin Wang, Yi Mei, and Mengjie Zhang. “A multi-objective genetic programming approach with self-adaptive alpha dominance to uncertain capacitated arc routing problem”. Proceedings of the IEEE Congress on Evolutionary Computation (CEC). Online-only Conference, 28 June - 1 July 2021, 8pp. (ARC/ERA Tier A)

8. Shaolin Wang, Yi Mei, and Mengjie Zhang. “A two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem”. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO). ACM Press. Lille, Franceïc, July 10-14, 2021, Online-only Conference. (ARC/ERA CORE Tier A)

9. Webin Pei, Bing Xue, Lin Shang, Mengjie Zhang. "Genetic Programming for Borderline Instance Detection in High-dimensional Unbalanced Classification". Proceedings of 2021 Genetic and Evolutionary Computation Conference (GECCO 2021). Lille, France. 10-14 July 2021. (ARC/ERA CORE Tier A)

10. Demelza Robinson, Qi Chen, Bing Xue, Michael Price, Paul Hume, Kai Chen, Justin Hodgkiss, and Mengjie Zhang. "Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data". Proceedings of 2021 IEEE Congress on Evolutionary Computation (CEC 2021). Krasow, Poland. 28 June - 01 July 2021. (ARC/ERA Tier A)

11. Anda Li, Bing Xue, Mengjie Zhang. "A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification". Proceedings of 2021 IEEE Congress on Evolutionary Computation (CEC 2021). Krasow, Poland. 28 June - 01 July 2021. (ARC/ERA Tier A)

Special Issues

• Special Issue on "Evolutionary and Memetic Algorithms for Computer Vision and Image Processing", Memetic Computing. Editors: Ying Bi, Bing Xue, Mengjie Zhang, Stefano Cagnoni, 2021-2022

• Special Issue on "Artificial Intelligence: Applications and Innovation", Journal of the Royal Society of New Zealand. Editors: Bing Xue, Richard Green, Mengjie Zhang. 2021-2022
  

• Special Issue on "Evolutionary Computation Meets Deep Learning", IEEE Transactions on Evolutionary Computation. Editors: Weiping Ding, Witold Pedrycz, Gary G. Yen, Bing Xue, 2020-2021.

• Special Issue on "Multi-task Evolutionary Computation", IEEE Transactions on Evolutionary Computation. Editors: Abhishek Gupta, Yew-Soon Ong, Kenneth De Jong, Mengjie Zhang. 2020-2021.
  

• Special Issue on "Evolutionary Neural Architecture Search and Applications", IEEE Computational Intelligence Magazine. Editors: Yanan Sun, Mengjie Zhang, Gary G. Yen. 2020-2021.
  

Special Sessions

• Workshop on Evolutionary Data Mining and Machine Learning (EDMML) at 2021 IEEE International Conference on Data Mining (IEEE ICDM 2021), Chairs: Ying Bi, Bing Xue and Mengjie Zhang

• IEEE Symposium on Computational Intelligence in Feature Analysis, Selection, and Learning in Image and Pattern Recognition (FASLIP) in IEEE Symposium Series on Computational Intelligence (IEEE SSCI), Co-chairs: Bing Xue and Mengjie Zhang, 2020, 2021

• IEEE Symposium on Computational Intelligence in Data Mining (CIDM) in IEEE Symposium Series on Computational Intelligence (IEEE SSCI), Co-chairs: Bing Xue, 2020

• IEEE Symposium on Computational Intelligence for Multimedia Signal and Vision Processing (IEEE CIMSIVP) in IEEE Symposium Series on Computational Intelligence (IEEE SSCI), Co-chairs: Harith Al-Sahaf and Mengjie Zhang, 2020, 2021

• Special session on Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition in EvoApplications, Co-chairs: Harith Al-Sahaf, 2021

• Special session on Evolutionary Computation for Feature Selection, Extraction and Dimensionality Reduction in IEEE World Congress on Computational Intelligence / IEEE Congress on Evolutionary Computation (IEEE WCCI/CEC), Co-chairs: Bing Xue and Mengjie Zhang, 2020, 2021

• Special session on Evolutionary Transfer Learning and Transfer Optimisation in IEEE World Congress on Computational Intelligence / IEEE Congress on Evolutionary Computation (IEEE WCCI/CEC), Co-chairs: Bing Xue and Mengjie Zhang, 2020, 2021

• Special session on Evolutionary Deep Learning and Applications in IEEE World Congress on Computational Intelligence / IEEE Congress on Evolutionary Computation (IEEE WCCI/CEC), Co-chairs: Bing Xue and Mengjie Zhang, 2020, 2021

• Special session on Evolutionary Computation for Symbolic Modelling in IEEE World Congress on Computational Intelligence / IEEE Congress on Evolutionary Computation (IEEE WCCI/CEC), Co-chairs: Bing Xue and Mengjie Zhang, 2020, 2021

• Special session on Evolutionary Unsupervised Learning and Applications in IEEE Congress on Evolutionary Computation (IEEE CEC), Co-chairs: Bing Xue and Mengjie Zhang, 2020, 2021

• Special Session on Evolutionary Computer Vision and Image Processing in IEEE Congress on Evolutionary Computation (IEEE CEC), Co-chairs: Harith Al-Sahaf, 2020, 2021

Regular Conferences

• Genetic and Evolutionary Computation Conference (GECCO): [2021] [2022]
• IEEE World Congress on Computational Intelligence/IEEE Congress on Evolutionary Computation (CEC): [2021] [2022]
• IEEE International Conference on Data Mining (ICDM): [2021]
• European Joint Conference on Evolutionary Computation (EvoStar): [2021] [2022]
• The Asian Conference on Computer Vision (ACCV): [2020]
• The Australasian Joint Conference on Artificial Intelligence (Australasian AI): [2020] [2021]
• Image and Vision Computing New Zealand (IVCNZ): [2020] [2021]
• Seafood Conference: [link]
• Aquaculture NZ annual conference: [link]
• Australian Statistical Society and New Zealand Statistical Association Conference: [2021]