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Prof. Ying Bi

You can also find my publications or codes from [Google Scholar Profile] [DBLP Profile] [Research Gate] [Github] [The GP Bibliography]

The papers here are for faster dissemination and academic research convinence purpose only, and the copyright of the final papers belongs to the corresponding publishers !

The bib file of our papers is here

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]

Survey Papers

  1. Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang. A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. IEEE Transactions on Evolutionary Computation. vol. 27, no. 1, pp.5-25, 2023. [http]

  2. Jing Liang, Zhuo Hu, Ying Bi, Han Cheng, Kunjie Yu, Cai-Tong Yue, Xianfang Wang, Wei-Feng Guo, A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease, IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2024.3414442, 2024 [http]

  3. 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. vol. 49, no. 2. pp. 205-228, 2019. [http]

  4. Bo Peng, Ying Bi*, Bing Xue, Mengjie Zhang, and Shuting Wan. A Survey on Fault Diagnosis of Rolling Bearings. Algorithms. vol. 10, no. 5, pp. 347, https:doi.org10.3390a15100347. (Corresponding Author)

  5. 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] [pdf]

Journal Papers

  1. Shangshang Yang, Haiping Ma, Ying Bi, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang, An Evolutionary Multi-Objective Neural Architecture Search Approach to Advancing Cognitive Diagnosis in Intelligent Education, IEEE Transactions on Evolutionary Computation. DOI: 10.1109/TEVC.2024.3429180, 2024. [http]

  2. Han-Wen Wan, Meng-Han Wu, Wen-Shan Zhao, Han Cheng, Ying Bi, Xian-Fang Wang, Xiang-Rui Zhang, Yan Li, Wei-Feng Guo, Label reusing based graph neural network for unbalanced classification of personalized driver genes in cancer, Applied Soft Computing, DOI: https:doi.org10.1016j.asoc.2024.111658, 2024 [http]

  3. Jing Liang, Zexuan Yang, Ying Bi*, Boyang Qu, Mengnan Liu, Bing Xue, Mengjie Zhang, A Multi-Tree Genetic Programming-based Feature Construction Approach to Crop Classification Using Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2024.3415773, 2024 [http]

  4. Jing Liang, Yaxin Chang, Ying Bi*, Caitong Yue, Boyang Qu, Mengnan Liu, A New Road Extraction Method from Satellite Images Using Genetic Programming, Guidance, Navigation and Control, https:doi.org10.1142S2737480724500092, 2024 [http]

  5. Qinglan Fan, Ying Bi*, Bing Xue, Mengjie Zhang, Multi-Tree Genetic Programming for Learning Color and Multi-Scale Features in Image Classification, IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2024.3384021, 2024 [http]

  6. Qinyu Wang,Ying Bi*, Bing Xue, Mengjie Zhang, Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification, IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2024.3379257, 2024 [http]

  7. Qinglan Fan, Ying Bi*, Bing Xue, and Mengjie Zhang. A Genetic Programming-based Method for Image Classification with Small Training Data. Knowledge-Based Systems. DOI: https:doi.org10.1016j.knosys.2023.111188, 2024. (Corresponding Author). [http]

  8. Jing Liang, Zong-Wei Li, Ze-Ning Sun, Ying Bi, Han Cheng, Tao Zeng, Wei-Feng Guo.Latent space search based multimodal optimization with personalized edge-network biomarker for multi-purpose early disease prediction. Briefings in Bioinformatics. DOI: https:doi.org10.1093bib/bbad364, 2023. [http]

  9. Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang. A Genetic Programming Approach with Building Block Evolving and Reusing to Image Classification. IEEE Transactions on Evolutionary Computation. early access, DOI: 10.1109/TEVC.2023.3284712ff2023. 2023. [http]

  10. Dylon Zeng, Ivy Liu, Ying Bi*, Ross Vennell, Dana Briscoe, Bing Xue, Mengjie Zhang. A new multi-object tracking pipeline based on computer vision techniques for mussel farms. Journal of Royal Society of New Zealand. https:doi.org10.108003036758.2023.2240466, 2023. [http]

  11. Shuai Wang, Shichen Huang, Shuai Liu, Ying Bi*. Not just select samples, but exploration: Genetic programming aided remote sensing target detection under deep learning. Applied Soft Computing, vol. 145, DOI: https:doi.org10.1016j.asoc.2023.110570, 2023. [http]

  12. Qinglan Fan, Ying Bi*, Bing Xue, and Mengjie Zhang. A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification. IEEE Transactions on Evolutionary Computation. DOI: 10.1109/TEVC.2022.3214607, 2022. (Corresponding Author) [http]

  13. Ying Bi, Bing Xue, and Mengjie Zhang. Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. IEEE Transactions on Evolutionary Computation. early access, DOI: 10.1109/TEVC 2022.3214503, 2022. [http]

  14. Ying Bi, Bing Xue, Dana Briscoe, Ross Vennell, Mengjie Zhang. A New Artificial Intelligent Approach to Buoy Detection for Mussel Farming. Journal of Royal Society of New Zealand. 2022. https:doi.org10. 108003036758.2022.2090966. [http]

  15. Ying Bi, Bing Xue, and Mengjie Zhang. Multitask Feature Learning as Multiobjective Optimisation: A New Genetic Programming Approach to Image Classification. IEEE Transactions on Cybernetics. pp.1-14, 2022. DOI: 10.1109/TCYB.2022.3174519. [http]

  16. Qinglan Fan, Ying Bi*, Bing Xue, and Mengjie Zhang. Genetic Programming for Image Classification: A New Program Representation with Flexible Feature Reuse. IEEE Transactions on Evolutionary Computation. vol., pp.1-14, early access, DOI: 10.1109/TEVC .2022.3169490, 2022. (Corresponding Author) [http]

  17. Caiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Qingbo Zhou, Mengjie Zhang , and Wenbin Wu. An Object-based Genetic Programming Approach to Cropland Field Extraction. Remote Sensing. vol. 15, no. 5. 2022. [http]

  18. Miao Lu,Ying Bi, Bing Xue, Qiong Hu, Mengjie Zhang, Yanbing Wei, Peng Yang, Wenbin Wu. Genetic Programming to Automatically Learn High-level Features for Crop Classification. Remote Sensing, vol. 14, no. 16, pp. 1-18, 2022. [http]

  19. Ying Bi, Bing Xue, and Mengjie Zhang. Using a Small Number of Training Instances in Genetic Programming for Face Image Classification. Information Sciences. vol. 593, pp. 488-504, 2022. [http]

  20. Qinglan Fan, Ying Bi*, Bing Xue, and Mengjie Zhang. Genetic Programming for Feature Extraction and Construction in Image Classification. Applied Soft Computing. vol. 118, 2022. [http]

  21. Ying Bi, Bing Xue, and Mengjie Zhang. Instance Selection Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. IEEE Transactions on Cybernetics. 1-14pp, Accepted on 14 August 2021. [http]

  22. Ying Bi, Bing Xue, and Mengjie Zhang. Dual-Tree Genetic Programming for Few-Shot Image Classification. IEEE Transactions on Evolutionary Computation. 1-15pp, Accepted on 22 July 2021. DOI: 10.1109/TEVC.2021.3100576. [http] [pdf]

  23. Ying Bi, Bing Xue, and Mengjie Zhang. Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. IEEE Transactions on Evolutionary Computation. vol. 26, no. 2, pp. 218-232, 2022. DOI: 10.1109/TEVC.2021.3097043. [http] [pdf]

  24. Ying Bi, Bing Xue, and Mengjie Zhang. A Divide-and-Conquer Genetic Programming Algorithm with Ensembles for Image Classification. IEEE Transactions on Evolutionary Computation. vol. 25, no. 6, pp.1148-1162, 2022. DOI: 10.1109/TEVC.2021.3082112. [http] [pdf] Popular paper, December 2021 - Feb 2022

  25. 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. 16, no. 3, pp.79-94, 2021. DOI: 10.1109/MCI.2021.3084495. (Corresponding Author). [http] [pdf] Popular paper, July 2021 - Feb 2022

  26. Ying Bi, Bing Xue, and Mengjie Zhang. Multi-Objective Genetic Programming for Feature Learning in Face Recognition, Applied Soft Computing, vol. 103, no. , pp., 2021, DOI: https:doi.org10.1016j.asoc.2021.107152. [http] [pdf]

  27. 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]

  28. 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. 51, no. 10, pp. 4909-4923, 2021. (Corresponding Author). [http] [pdf]

  29. 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. 25, no. 1, pp. 87-101, 9 June 2020. [http] [pdf] [Source Code] Popular paper, Feb 2021 - March 2021

  30. 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] Popular paper April 2020 - March 2021, August 2021 - September 2021

  31. 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. 51, no. 5, pp. 1769-1783, 2020. DOI: 10.1109/TCYB.2020.2964566. [http] [Source Code]

  32. Ben Niu, Ting Xie, Lijing Tan, Ying Bi, and Zhengxu Wang. Swarm Intelligence Algorithms for Yard Truck Scheduling and Storage Allocation Problems. Neurocomputing. vol. 188, 2016. pp. 284-293. [http]

  33. Yanmin Liu, Ying Bi, Changling Sui, Yuanfeng Luo, Zhuanzhou Zhang, and Rui Liu. Simulation Study of Swarm Intelligence Based on Life Evolution Behavior. Discrete Dynamics in Nature and Society. vol. 2015. Article ID 291298, 11 pages. [http]

Book Chapters

  1. 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]

  2. 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]

  3. 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]

  4. Xiaoyue Fu, Felix TS Chan, Ben Niu, SH Chung, and Ying Bi. Minimization of Makespan through Jointly Scheduling Strategy in Production System with Mould Maintenance Consideration. In: Huang DS., Bevilacqua V., Premaratne P., Gupta P. (eds) Intelligent Computing Theories and Application. ICIC 2017. Lecture Notes in Computer Science, vol 10361. Springer, Cham. 2017, pp. 576-586. [http]

  5. Ben Niu, Ying Bi, Felix TS Chan, and ZX Wang. SRBFO Algorithm for Production Scheduling with Mold and Machine Maintenance Consideration. In: Huang DS., Jo KH., Hussain A. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science, vol 9226. Springer, Cham. 2015, pp. 733-741. [http]

  6. Ben Niu, Ying Bi, and Ting Xie. Structure-redesign-based Bacterial Foraging Optimization for Portfolio Selection. In: Huang DS., Han K., Gromiha M. (eds) Intelligent Computing in Bioinformatics. ICIC 2014. Lecture Notes in Computer Science, vol 8590. Springer, Cham. 2014, pp. 424-430. [http]

  7. Xiaoxian He, Jie Wang, and Ying Bi. A Novel Branch-leaf Growth Algorithm for Numerical Optimization. In: Huang DS., Jo KH., Hussain A. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science, vol 9226. Springer, Cham. 2015, pp. 742-750. [http]

  8. Ben Niu, Ting Xie, Ying Bi, and Jing Liu. Bacterial Colony Optimization for Integrated Yard Truck Scheduling and Storage Allocation Problem. In: Huang DS., Han K., Gromiha M. (eds) Intelligent Computing in Bioinformatics. ICIC 2014. Lecture Notes in Computer Science, vol 8590. Springer, Cham. 2014, pp. 431-437. [http]

  9. 牛奔, 毕莹, 郭晨. 结构重组的细菌觅食优化算法及其在投资组合问题上的应用.中国管理科学专辑, 2014.22:205-211.

  10. 牛奔，毕莹，张芳芳，刘憬. 考虑了机器和模具维护的注塑车间生产调度智能优化，中国管理科学专辑. 2015, 23:211-217.

  11. 谭立静，王超，毕莹. 邻域学习细菌觅食优化算法，中国管理科学年会. 中国管理科学专辑. 2015, 23: 218-223.

  12. 王熠，毕莹. 文化科技融合背景下我国文化传媒产业的创新研究—基于企业综合实力评价模型. 文化科技蓝皮书:文化科技创新发展报告（2015）: 319-333.

Conference Papers

  1. Yi Liu, Ying Bi*, Yu Cui, Chengyuan Zhu, Wen Cheng, Mingkai Sheng, Yiding Zhang, Adapting explainable Decision Sets to Continuous-based Real-World Problems, 2024 7th International Symposium on Autonomous Systems (ISAS), 2024

  2. Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang, Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data, International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2024

  3. Jing Liang, Zhuo Hu, Zong-Wei Li, Ying Bi, Han Cheng, Wei-Feng Guo. A Novel Evolutionary Constrained Multi-Objective Optimization Method for Identifying Personalized Drug Targets Combining with Structural Network Control Principles. Proceedings of the 5th International Conference on Data-driven Optimization of Complex Systems, pp. 1-8, 2023. Best Paper Award

  4. Kangjia Qiao, Jing Liang, Ying Bi, Kunjie Yu, Caitong Yue, Boyang Qu. An Unconstrained Auxiliary Framework for Constrained Many-Objective Optimization. Proceedings of the 5th International Conference on Data-driven Optimization of Complex Systems, pp. 1-8, 2023.

  5. Jing Liang, Xudong Sui, Caitong Yue, Ying Bi, Mingyuan Yu. Differential Evolution Using Interpolation Strategy for Multimodal Multiobjective Optimization. Proceedings of International Symposium on Computer Technology and Information Science, pp. 764-769, 2023.

  6. Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang. A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images. Proceedings of Image and Vision Computing New Zealand, pp. 1-6, 2023.

  7. Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang. Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. Proceedings of the Australasian Joint Conference on Artificial Intelligence, pp. 1-12, 2022.

  8. Binke Xu, Ying Bi*, Bing Xue, Jan Schindler, Brent Martin, and Mengjie Zhang. Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation. Proceedings of IEEE SSCI 2022, pp. 1-8, 2022.

  9. Caleb Buchanan, Ying Bi*, Bing Xue, Ross Vennell, Simon Childerhouse, Matthew K. Pine, Dana Briscoe, Mengjie Zhang. Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks. Proceedings of Image and Vision Computing New Zealand 2021. 2021, pp. 1-6. (Corresponding Author)

  10. Alistair John McLeay, Abigail McGhie, Dana Briscoe, Ying Bi*, Bing Xue, Ross Vennell, Mengjie Zhang. Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms. Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI 2021). 2021, pp.1-8. (Corresponding Author)

  11. 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) [http]

  12. 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. [http]

  13. 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]

  14. 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]

  15. 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]

  16. Ying Bi, Bing Xue, and Mengjie Zhang. An 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]

  17. 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]

  18. 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]

  19. Yi Wang, Ying Bi, Ting Xie, and Jing Liu. Evaluation of the Comprehensive Strength of the Listed Companies in China's Cultural Media Industry. Proceedings of 12th International Conference on Service Systems and Service Management (ICSSSM). IEEE Press. Guangzhou, China. 22-24 June 2015. pp. 1-5. [http]

  20. Chen Guo, Zhiwen Guo, Ben Niu, and Ying Bi. A Hybrid Bacterial Foraging Optimization Based on Time-varying Chemotaxis Step and Dynamic Topology Structure. Proceedings of International Conference on Materials, Environmental and Biological Engineering (MEBE 2015). Atlantis Press. Guilin, China. 28-30 March 2015. pp. 587-590. [http]

  21. Ben Niu, Jing Liu, Ying Bi, Ting Xie, and Lijing Tan. Improved Bacterial Foraging Optimization Algorithm with Information Communication Mechanism. Proceedings of Tenth International Conference on Computational Intelligence and Security (CIS). IEEE Press. Kunming, China. 15-16 Nov. 2014. pp. 47-51. [http]

  22. Ben Niu and Ying Bi. Binary Bacterial Foraging Optimization for 0/1 Knapsack Problem. Proceedings of IEEE Congress on Evolutionary Computation (CEC). IEEE Press. Beijing, China. 6-11 July 2014. pp. 647-652. [http]

  23. Hanyang Luo, Jingjing Wang, and Ying Bi. Empirical Research on Consumers’ Intention to Purchase Online. Proceedings of 11th International Conference on Service Systems and Service Management (ICSSSM). IEEE Press. Beijing, China. 25-27 June 2014. pp. 1-5. [http