Ying Bi

Ying Bi

Professor, Zhengzhou University

Journal and Book/Chapter Publications

*indicating the corresponding author

Authored Book

  1. 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.
  2. Ying Bi, Mengjie Zhang, Bing Xue, Bo Peng. Artificial Intelligence for Fault Detection and Diagnosis.[http]

Survey Papers

  1. Jing Liang, Yahang Lou, Mingyuan Yu, Ying Bi, Kunjie Yu. A survey of surrogate-assisted evolutionary algorithms for expensive optimization[J]. Journal of Membrane Computing, 2024: 1-20.[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. 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]
  4. 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]
  5. 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)
  6. 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. Caitong Yue, Jiankang Song, Jing Liang, Mengnan Liu, Kunjie Yu, Hongyu Lin, Ying Bi. A multimodal multiobjective evolutionary algorithm based on neighborhood and enhanced special crowding distance. Knowledge-Based Systems 315 (2025): 113340.[http]

  2. Ke Chen, Mingyang Dao, Ying Bi, Jing Liang, Zhenlong Wu, Peng Wang. A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification. Knowledge-Based Systems (2025): 113643.[http]

  3. Qinglan Fan, Yunfeng Zhang, Xunxiang Yao, Ying Bi, Bing Xue, Mengjie Zhang. ES-GP: An Ensemble Surrogate-Assisted Genetic Programming Approach to Image Classification. IEEE Transactions on Evolutionary Computation (2025).[http]

  4. Kunjie Yu, Fan Chen; Jing Liang, Mingyuan Yu, Ke Chen, Caitong Yue, Ying Bi. Objective-Constraint Correlation-Guided Evolutionary Direction Adaptive Adjustment for Expensive Constrained Optimization.” IEEE Transactions on Systems, Man, and Cybernetics: Systems (2025).[http]

  5. Xiangyang Ren, Boyang Jiao, Jianbo Gao, Yazheng Chen, Na Xiao, Ying Bi, Gangqiong Liu. Lightweight decision-making decisive feature enhancement network for medical image analysis. Applied Soft Computing (2025): 113518.[http]

  6. Jing Liang, Genyue Liu, Ying Bi, Mingyuan Yu, Mengnan Liu, Yaochu Jin. Evolutionary Neural Architecture Search for Remote Sensing Image Classification. IEEE Transactions on Neural Networks and Learning Systems (2025).[http]

  7. Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang. Co-Evolutionary Dual-Tree Genetic Programming for Fine-Grained Flower Image Classification. IEEE Transactions on Evolutionary Computation (2025).[http]

  8. Hongyu Lin, Jing Liang, Caitong Yue, Ying Bi, Kangjia Qiao, Yaonan Wang. A Similar-Niching-Based Differential Evolution for Constrained Multimodal Multiobjective Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2025).[http]

  9. Ying Bi, Tuo Zhang, Jintao Lian， Yaxin Chang, Jing Liang. Change detection in remote sensing images based on multi-tree genetic programming.” Applied Soft Computing (2025): 113609.[http]

  10. Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang. A new genetic programming approach to fine-grained flower image classification[J]. Complex & Intelligent Systems, 2025, 11(9): 1-20. [http]

  11. Caiyun Wen, Miao Lu, Ying Bi, Lang Xia, Jing Sun, Yun Shi, Yanbing Wei, Wenbin Wu. Customized crop feature construction using genetic programming for early-and in-season crop mapping[J]. Computers and Electronics in Agriculture, 2025, 231: 109949.[http]

  12. Rui Qi, Ya-Hui Jia, Wei-neng Chen, Ying Bi, Yi Mei . (2025). An evolutionary optimization-learning hybrid algorithm for energy resource management. Swarm and Evolutionary Computation, 92, 101831.[http]

  13. Jing Liang, Junting Yang, Caitong Yue, Ying Bi, Kunjie Yu, Boyang Qu.(2025). A Joint-Encoding Evolutionary Algorithm for Multimodal Multiobjective Feature Selection in Classification. IEEE Transactions on Evolutionary Computation.[http]

  14. Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang. Multi-objective genetic programming based on decomposition for feature learning in image classification[J]. Swarm and Evolutionary Computation, 2025, 94: 101875.[http]

  15. Jing Liang , Zhuo Hu ,Ying Bi, Han Cheng ，Wei-Feng Guo. Multimodal multiobjective optimization with structural network control principles to optimize personalized drug targets for drug discovery of individual patients[J]. Briefings in Bioinformatics, 2025, 26(1): bbaf007.[http]

  16. 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[J]. Journal of the Royal Society of New Zealand, 2025, 55(1): 62-81.[http]

  17. Wenjie Sun, Chengke Wu, Qinge Xiao, Junjie Jiang, Yuanjun Guo, Ying Bi, Xingyu Wu, Zhile Yang. (2024). CauseTerML: Causal Learning via Term Mining for Assessing Review Discrepancies.IEEE Transactions on Artificial Intelligence.[http]

  18. Qinglan Fan,Ying Bi, Bing Xue, Mengjie Zhang. A Multi-Tree Genetic Programming-Based Ensemble Approach to Image Classification With Limited Training Data [Research Frontier][J]. IEEE Computational Intelligence Magazine, 2024, 19(4): 47 - 62. [http]

  19. Kunjie Yu, Jintao Lian,Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang. An Automated and Interpretable Computer-Aided Approach for Skin Cancer Diagnosis Using Genetic Programming[J]. IEEE Transactions on Evolutionary Computation, 2024.[http]

  20. Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang. A genetic programming approach with adaptive region detection to skin cancer image classification[J]. Journal of Automation and Intelligence, 2024.[http]

  21. Al-Sahaf Harith, Mesejo, Pablo,Ying Bi,Mengjie Zhang. Evolutionary deep learning for computer vision and image processing[J]. Appl. Soft Comput., 2024. [http]

  22. 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]

  23. 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]

  24. 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]

  25. 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]

  26. 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]

  27. 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]

  28. 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]

  29. 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]

  30. 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]

  31. 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 the Royal Society of New Zealand. https:doi.org10.108003036758.2023.2240466, 2023. [http]

  32. 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]

  33. 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]

  34. 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]

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

  36. 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]

  37. 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]

  38. 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]

  39. 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]

  40. 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]

  41. 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]

  42. 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]

  43. 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]

  44. 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]

  45. 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

  46. 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

  47. 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]

  48. 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]

  49. 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]

  50. 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

  51. 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

  52. 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]

  53. 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]

  54. 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]