1. Ying Bi , Mengjie Zhang , Bing Xue , and Bo Peng . Artificial Intelligence for Fault Detection and Diagnosis, MDPI 2025 , DOI: https://doi.org/10.3390/books978-3-7258-4914-7. [pdf]
1. Ying Bi , Mengjie Zhang , Bing Xue , and Bo Peng . Artificial Intelligence for Fault Detection and Diagnosis, MDPI 2025 , DOI: https://doi.org/10.3390/books978-3-7258-4914-7. [pdf]
2. Y Bi , and S Van Uytsel . The State Administration for Market Regulation and Its Leniency Programme: Infusing a Dose of Trust and Predictability, Leniency in Asian Competition Law, 233-260, 2022 2022 . [pdf]
3. Ying Bi , Bing Xue , and Mengjie Zhang . Genetic programming for image classification: An automated approach to feature learning, Springer Nature 2021 , DOI: https://doi.org/10.1007/978-3-030-65927-1. [pdf]
1. Jing, Liang , Yahang, Lou , Mingyuan, Yu , Ying, Bi , and Kunjie, Yu . A survey of surrogate-assisted evolutionary algorithms for expensive optimization, Springer 2024 , DOI: https://doi.org/10.1007/s41965-024-00165-w. [pdf]
2. Jing, Liang , Zhuo, Hu , Ying, Bi , Han, Cheng , Kunjie, Yu , Cai-Tong, Yue , Xianfang, Wang , and Wei-Feng, Guo . A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease, IEEE Transactions on Evolutionary Computation 2024 , DOI: https://doi.org/10.1109/TEVC.2024.3414442. [pdf]
3. Ying, Bi , Pablo Mesejo , Stefano Cagnoni , and Mengjie Zhang . A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends, IEEE Transactions on Evolutionary Computation 2023 , DOI: https://doi.org/10.1109/TEVC.2022.3220747. [pdf]
4. Bo Peng , Ying Bi , Bing Xue , Mengjie Zhang , and Shuting Wan . A Survey on Fault Diagnosis of Rolling Bearings, Algorithms 2022 , DOI: https://doi.org/10.3390/a15100347. [pdf]
5. Harith Al-Sahaf , Ying Bi , Qi Chen , Andrew Lensen , Yi Mei , Yanan Sun , Binh Tran , Bing Xue , and Mengjie Zhang . A Survey on Evolutionary Machine Learning, Journal of the Royal Society of New Zealand 2019 . [pdf]
6. Ying Bi , Bing Xue , and Mengjie Zhang . A Survey on Genetic Programming to Image Analysis, Journal of Zhengzhou University (Engineering Science) 2018 . [pdf]
1. H Yang , X Xie , Y Bi , B Qu , J Liang , K Huang , and L Yan . LCO-LSHADE-GSRL: An enhanced differential evolution algorithm with chaotic orthogonal initialization and GAN-driven specular reflection learning for engineering optimization, Expert Systems with Applications 302, 130561, 2026 2026 . [pdf]
2. C Yue , J Song , M Liu , Y Bi , W Guo , H Lin , and J Liang . An evolutionary algorithm for multimodal multi-objective traveling salesman problems, Expert Systems with Applications 297, 129540, 2026 2026 . [pdf]
3. C Yue , W Wu , J Liang , Y Bi , K Yu , K Chen , and W Guo . An improved generalized evolutionary algorithm for constrained multimodal multiobjective optimization, Complex & Intelligent Systems 12 (1), 48, 2026 2026 . [pdf]
4. L Dong , Y Bi , B Xue , and M Zhang . An enhanced genetic programming algorithm with new genetic operators for medical image classification, Genetic Programming and Evolvable Machines 27 (1), 7, 2026 2026 . [pdf]
5. Y Bi , M Guo , Q Sui , J Liang , K Zhang , and K Chen . A hybrid method based on linear regression and genetic programming-based symbolic regression for short-term load forecasting, Applied Soft Computing, 115111, 2026 2026 . [pdf]
6. Q Wang , Y Bi , B Xue , and M Zhang . CNNGP: Multi-tree Genetic Programming Integrating Pre-trained CNN Features for Fine-Grained Image Classification, IEEE Transactions on Evolutionary Computation, 2026 2026 . [pdf]
7. C Yue , W Ye , J Liang , M Li , K Yu , Y Bi , and B Qu . A Robustness Indicator-Based Dual-Population Evolutionary Algorithm for Multimodal Multiobjective Optimization, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2026 2026 . [pdf]
8. Y Bi , X Xue , YH Jia , C Yue , and K Zhang . A new genetic programming approach to dynamic multi-point dynamic aggregation problem, Swarm and Evolutionary Computation 102, 102339, 2026 2026 . [pdf]
9. 任向阳， 赵梦媛， 胡微， 刘刚琼， 毕莹 . 基于局部上下文引导特征深度融合的 轻量级医学图像分割方法., Journal of Zhengzhou University (Natural Science Edition) 58 (1), 2026 2026 . [pdf]
10. Y Liao , Z Wang , Y Bi , J Liang , and X Han . A Multi-population genetic programming algorithm to model estimation for LLC resonant converter, Swarm and Evolutionary Computation 100, 102198, 2026 2026 . [pdf]
11. Caitong Yue , Jiankang Song , Jing Liang , Mengnan Liu , Kunjie Yu , Hongyu Lin , and Ying Bi . A multimodal multiobjective evolutionary algorithm based on neighborhood and enhanced special crowding distance, Knowledge-Based Systems 2025 , DOI: https://doi.org/10.1016/j.knosys.2025.113340. [pdf]
12. Ke Chen , Mingyang Dao , Ying Bi , Jing Liang , Zhenlong Wu , and Peng Wang . A new multi-tree Genetic Programming approach to feature construction in high-dimensional classification, Knowledge-Based Systems 2025 , DOI: https://doi.org/10.1016/j.knosys.2025.113643. [pdf]
13. Kunjie Yu , Fan Chen , Jing Liang , Mingyuan Yu , Ke Chen , Caitong Yue , and Ying Bi . Objective-Constraint Correlation-Guided Evolutionary Direction Adaptive Adjustment for Expensive Constrained Optimization, IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025 , DOI: https://doi.org/10.1109/TSMC.2025.3573195.
14. Qinglan Fan , Yunfeng Zhang , Xunxiang Yao , Ying Bi , Bing Xue , and Mengjie Zhang . ES-GP: An Ensemble Surrogate-Assisted Genetic Programming Approach to Image Classification, IEEE Transactions on Evolutionary Computation 2025 , DOI: https://doi.org/10.1109/TEVC.2025.3569832. [pdf]
15. Xiangyang Ren , Boyang Jiao , Jianbo Gao , Yazheng Chen , Na Xiao , Ying Bi , and Gangqiong Liu . Lightweight decision-making decisive feature enhancement network for medical image analysis, Applied Soft Computing 2025 , DOI: https://doi.org/doi.org/10.1016/j.asoc.2025.113518. [pdf]
16. Jing Liang , Genyue Liu , Ying Bi , Mingyuan Yu , Mengnan Liu , and Yaochu Jin . Evolutionary Neural Architecture Search for Remote Sensing Image Classification, IEEE Transactions on Neural Networks and Learning Systems 2025 , DOI: https://doi.org/10.1109/TNNLS.2025.3579517. [pdf]
17. Qinyu Wang , Ying Bi , Bing Xue , and Mengjie Zhang . Co-Evolutionary Dual-Tree Genetic Programming for Fine-Grained Flower Image Classification, IEEE Transactions on Evolutionary Computation 2025 , DOI: https://doi.org/10.1109/TEVC.2025.3590738. [pdf]
18. Hongyu Lin , Jing Liang , Caitong Yue , Ying Bi , Kangjia Qiao , and Yaonan Wang . A Similar-Niching-Based Differential Evolution for Constrained Multimodal Multiobjective Optimization, IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025 , DOI: https://doi.org/10.1109/TSMC.2025.3582852. [pdf]
19. Ying Bi , Tuo Zhang , Jintao Lian , Yaxin Chang , and Jing Liang . Change detection in remote sensing images based on multi-tree genetic programming, Applied Soft Computing 2025 , DOI: https://doi.org/10.1016/j.asoc.2025.113609. [pdf]
20. Qinyu Wang , Ying Bi , Bing Xue , and Mengjie Zhang . A new genetic programming approach to fine-grained flower image classification, Complex & Intelligent Systems 2025 . [pdf]
21. Caiyun Wen , Miao Lu , Ying Bi , Lang Xia , Jing Sun , Yun Shi , Yanbing Wei , and Wenbin Wu . Customized crop feature construction using genetic programming for early-and in-season crop mapping, Computers and Electronics in Agriculture 2025 , DOI: https://doi.org/10.1016/j.compag.2025.109949. [pdf]
22. Rui Qi , Ya-Hui Jia , Wei-neng Chen , Ying Bi , and Yi Mei . An evolutionary optimization-learning hybrid algorithm for energy resource management, Swarm and Evolutionary Computation 2025 , DOI: https://doi.org/doi.org/10.1016/j.swevo.2024.101831. [pdf]
23. Jing Liang , Junting Yang , Caitong Yue , Ying Bi , Kunjie Yu , and Boyang Qu . A Joint-Encoding Evolutionary Algorithm for Multimodal Multiobjective Feature Selection in Classification, IEEE 2025 , DOI: https://doi.org/10.1109/TEVC.2025.3529977.
24. Tuo Zhang , Ying Bi , Jing Liang , Bing Xue , and Mengjie Zhang . Multi-objective genetic programming based on decomposition for feature learning in image classification, Swarm and Evolutionary Computation 2025 . [pdf]
25. Y Bi , Y Chang , J Liang , C Yue , B Qu , and M Liu . A Two-stage Genetic Programming Approach to Feature Construction and Ensemble Evolving for Road Extraction from Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, 2025 2025 . [pdf]
26. Jing Liang , Zhuo Hu , Ying Bi , Han Chen , and Wei-Feng Guo . Multimodal multiobjective optimization with structural network control principles to optimize personalized drug targets for drug discovery of individual patients, Brief Bioinform 2024 , DOI: https://doi.org/10.1093/bib/bbaf007. [pdf]
27. Dylon Zheng , Ivy Liu , Ying Bi , Ross Vennell , Dana Briscoe , Bing Xue , and Mengjie Zhang . A new multi-object tracking pipeline based on computer vision techniques for mussel farms, Swarm and Evolutionary Computation 2024 . [pdf]
28. Wenjie Sun , Chengke Wu , Qinge Xiao , Junjie Jiang , Yuanjun Guo , Ying Bi , Xingyu Wu , and Zhile Yang . CauseTerML: Causal Learning via Term Mining for Assessing Review Discrepancies, IEEE Transactions on Artificial Intelligence 2024 , DOI: https://doi.org/10.1109/TAI.2024.3512500. [pdf]
29. Qinglan Fan , Ying Bi , Bing Xue , and Mengjie Zhang . A Multi-Tree Genetic Programming-Based Ensemble Approach to Image Classification With Limited Training Data [Research Frontier], IEEE Computational Intelligence Magazine 2024 , DOI: https://doi.org/10.1109/MCI.2024.3446148. [pdf]
30. Kunjie Yu , Jintao Lian , Ying Bi , Jing Liang , Bing Xue , and Mengjie Zhang . An Automated and Interpretable Computer-Aided Approach for Skin Cancer Diagnosis Using Genetic Programming, IEEE Transactions on Evolutionary Computation 2024 , DOI: https://doi.org/10.1109/TEVC.2024.3459096. [pdf]
31. Kunjie Yu, , Jintao Lian , Ying Bi , Jing Liang , Bing Xue , and Mengjie Zhang . A genetic programming approach with adaptive region detection to skin cancer image classification, Journal of Automation and Intelligence 2024 , DOI: https://doi.org/10.1016/j.jai.2024.08.003. [pdf]
32. Al-Sahaf Harith , Mesejo, Pablo , Ying Bi , and Mengjie Zhang . Evolutionary deep learning for computer vision and image processing[J]. Appl. Soft Comput, Applied Soft Computing 2024 , DOI: https://doi.org/10.1016/j.asoc.2023.111159. [pdf]
33. Shangshang Yang , Haiping Ma , Ying Bi , Ye Tian , Limiao Zhang , Yaochu Jin , and Xingyi Zhang . An Evolutionary Multi-Objective Neural Architecture Search Approach to Advancing Cognitive Diagnosis in Intelligent Education, IEEE Transactions on Evolutionary Computation 2024 , DOI: https://doi.org/10.1109/TEVC.2024.3429180. [pdf]
34. Han-Wen Wan , Meng-Han Wu , Wen-Shan Zhao , Han Cheng , Ying Bi , Xian-Fang Wang , Xiang-Rui Zhang , Yan Li , and Wei-Feng Guo . Label reusing based graph neural network for unbalanced classification of personalized driver genes in cancer, IEEE Transactions on Evolutionary Computation 2024 , DOI: https://doi.org/https:doi.org10.1016j.asoc.2024.111658, 2024. [pdf]
35. Jing Liang , Zexuan Yang , Ying Bi , Boyang Qu , Mengnan Liu , Bing Xue , and Mengjie Zhang . A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing 2024 , DOI: https://doi.org/10.1109/TGRS.2024.3415773. [pdf]
36. Jing Liang , Yaxin Chang , Ying Bi , Caitong Yue , Boyang Qu , and Mengnan Liu . A New Road Extraction Method from Satellite Images Using Genetic Programming, Guidance Navigation and Control 2024 , DOI: https://doi.org/https://doi.org/10.1142/S2737480724500092. [pdf]
37. Qinglan Fan , Ying Bi , Bing Xue , and Mengjie Zhang . Multi-Tree Genetic Programming for Learning Color and Multi-Scale Features in Image Classification, IEEE Transactions on Evolutionary Computation 2024 , DOI: https://doi.org/10.1109/TEVC.2024.3384021. [pdf]
38. Qinyu Wang , Ying Bi , Bing Xue , and Mengjie Zhang . Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification, IEEE Transactions on Evolutionary Computation 2024 , DOI: https://doi.org/10.1109/TEVC.2024.3379257, 2024. [pdf]
39. Qinglan Fan , Ying Bi , Bing Xue , and Mengjie Zhang . A Genetic Programming-based Method for Image Classification with Small Training Data. Knowledge-Based Systems, Knowledge-Based Systems 2024 , DOI: https://doi.org/https:doi.org10.1016j.knosys.2023.111188. [pdf]
40. 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 2024 , DOI: https://doi.org/10.1109/TEVC.2022.3214607. [pdf]
41. Ying Bi , Bing Xue , and Mengjie Zhang . Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification, IEEE Transactions on Evolutionary Computation 2024 , DOI: https://doi.org/10.1109/TEVC.2022.3214503. [pdf]
42. H Abbass , QU Ain , H Al-Sahaf , JM Alonso-Moral , S Bandaru , M Bello , Y Bi , and ... . 2024 Index IEEE Computational Intelligence Magazine Vol. 19, IEEE Computational Intelligence Magazine 19 (4), 2024 2024 . [pdf]
43. Jing Liang , Zong-Wei Li , Ze-Ning Sun , Ying, Bi , Han Cheng , Tao Zeng , and Wei-Feng Guo . Latent space search based multimodal optimization with personalized edge-network biomarker for multi-purpose early disease prediction, Briefings in Bioinformatics 2023 , DOI: https://doi.org/https:doi.org10.1093bib/bbad364.
44. Ying, Bi , Jing Liang , Bing Xue , and Mengjie Zhang . A Genetic Programming Approach with Building Block Evolving and Reusing to Image Classification, IEEE Transactions on Evolutionary Computation 2023 , DOI: https://doi.org/110.1109/TEVC.2023.3284712. [pdf]
45. Dylon Zheng , Ivy Liu , Ying Bi , Ross Vennell , Dana Briscoe , Bing Xue , and Mengjie Zhang . A new multi-object tracking pipeline based on computer vision techniques for mussel farms, Journal of the Royal Society of New Zealand 2023 , DOI: https://doi.org/https://doi.org/10.1080/03036758.2023.2240466. [pdf]
46. Shuai Wang , Shichen Huang , Shuai Liu , and Ying Bi . Not just select samples, but exploration Genetic programming aided remote sensing target detection under deep learning, Applied Soft Computing 2023 , DOI: https://doi.org/https:doi.org10.1016j.asoc.2023.110570. [pdf]
47. Ying Bi , Bing Xue , and Mengjie Zhang . Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification, IEEE Transactions on Cybernetics 2023 , DOI: https://doi.org/10.1109/TCYB.2022.3174519. [pdf]
48. 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 2023 , DOI: https://doi.org/10.1109/TEVC.2022.3169490. [pdf]
49. Ying Bi , Bing Xue , and Mengjie Zhang . Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification, IEEE Transactions on Cybernetics 2023 , DOI: https://doi.org/10.1109/TCYB.2021.3105696. [pdf]
50. Ying Bi , Bing Xue , Dana Briscoe , Ross Vennell , and Mengjie Zhang . A new artificial intelligent approach to buoy detection for mussel farming, Journal of the Royal Society of New Zealand 2022 , DOI: https://doi.org/10.1080/03036758.2022.2090966.
51. Caiyun Wen , Miao Lu , Ying Bi , Shengnan Zhang , Bing Xue , Qingbo Zhou , Mengjie Zhang , and Wenbin Wu . An Object-Based Genetic Programming Approach for Cropland Field Extraction, Progresses in Agro-Geoinformatics 2022 , DOI: https://doi.org/10.3390/rs14051275.
52. Miao Lu , Ying Bi , Bing Xue , Qiong Hu , Mengjie Zhang , Yanbing Wei , Peng Yang , and Wenbin Wu . Genetic Programming for High-Level Feature Learning in Crop Classification, Remote Sensing for Mapping Farmland and Agricultural Infrastructure 2022 , DOI: https://doi.org/10.3390/rs14163982.
53. Ying Bi , Bing Xue , and Mengjie Zhang . Using a small number of training instances in genetic programming for face image classification, Information Sciences 2022 , DOI: https://doi.org/10.1016/j.ins.2022.01.055.
54. Qinglan Fan , Ying Bi , Bing Xue , and Mengjie Zhang . Genetic programming for feature extraction and construction in image classification, Applied Soft Computing 2022 , DOI: https://doi.org/10.1016/j.asoc.2022.108509.
55. Ying Bi , Bing Xue , and Mengjie Zhang . Dual-Tree Genetic Programming for Few-Shot Image Classification, IEEE Transactions on Evolutionary Computation 2022 , DOI: https://doi.org/10.1109/TEVC.2021.3100576. [pdf]
56. Ying Bi , Bing Xue , and Mengjie Zhang . Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning, IEEE Transactions on Evolutionary Computation 2022 , DOI: https://doi.org/10.1109/TEVC.2021.3097043. [pdf]
57. Ying Bi , Bing Xue , and Mengjie Zhang . Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification, IEEE Transactions on Cybernetics 2022 , DOI: https://doi.org/10.1109/TCYB.2021.3049778. [pdf]
58. Ying Bi , Bing Xue , and Mengjie Zhang . A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification, IEEE Transactions on Evolutionary Computation 2021 , DOI: https://doi.org/10.1109/TEVC.2021.3082112. [pdf]
59. 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 2021 , DOI: https://doi.org/10.1109/MCI.2021.3084495. [pdf]
60. Ying Bi , Bing Xue , and Mengjie Zhang . Multi-objective genetic programming for feature learning in face recognition, Applied Soft Computing 2021 , DOI: https://doi.org/10.1016/j.asoc.2021.107152.
61. Bo Peng , Shuting Wan , Ying Bi , Bing Xue , and Mengjie Zhang . Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis, IEEE Transactions on Cybernetics 2021 , DOI: https://doi.org/10.1109/TCYB.2020.3032945. [pdf]
62. 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 2021 , DOI: https://doi.org/10.1109/TEVC.2020.3002229. [代码] [pdf]
63. 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 2021 , DOI: https://doi.org/10.1109/TCYB.2020.2964566. [代码] [pdf]
64. 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 2020 , DOI: https://doi.org/10.1109/MCI.2020.2976186. [代码] [pdf]
65. 谢超红， 汪维清， 毕莹 . ITS 示范工程对城市交通畅通性的贡献率研究, 数学的实践与认识 47 (3), 57-63, 2017 2017 . [pdf]
66. Ben Niu , Ting Xie , Lijing Tan , Ying Bi , and Zhengxu Wang . Swarm Intelligence Algorithms for Yard Truck Scheduling and Storage Allocation Problems, Neurocomputing 2016 , DOI: https://doi.org/10.1016/j.neucom.2014.12.125.
67. 汪维清， 谢超红， 毕莹， 云俊 . 深圳市 “互联网+” 发展模式研究, 互联网天地, 33-38, 2016 2016 . [pdf]
68. 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 2015 , DOI: https://doi.org/10.1155/2015/291298.
69. 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 1, 2015 2015 . [pdf]
70. 谭立静， 王超， 谢庭， 毕莹 . 邻域学习细菌觅食优化算法, 中国管理科学, 218-223, 2015 2015 . [pdf]
71. 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, 205-211, 2014 2014 . [pdf]
72. M Yu , J Liang , X Jia , C Yue , and Y Bi . A Surrogate-Assisted Pso Algorithm for Multi-Objective Electromagnetic Acoustic Transducer Optimization, Available at SSRN 5014544, 0 . [pdf]
73. Y Bi , B Xue , P Mesejo , S Cagnoni , M Zhang , Y Peng , A Song , V Ciesielski , and ... . SPECIAL ISSUE ON EVOLUTIONARY COMPUTER VISION, . [pdf]
1. Ke Chen , Tianqing Wu , Ying Bi , Jing Liang , and Kunjie Yu . Dynamic Threshold Selection in Genetic Programming for Imbalanced Fault Diagnosis, 2025 IEEE Congress on Evolutionary Computation (CEC) 2025 , DOI: https://doi.org/10.1109/CEC65147.2025.11043109. [pdf]
2. Kunjie Yu , Jintao Lian , Ying Bi , and Jing Liang . Automatic Feature Learning via Genetic Programming with Flexible Filtering for Skin Cancer Image Classification, 2025 IEEE Congress on Evolutionary Computation (CEC) 2025 , DOI: https://doi.org/10.1109/CEC65147.2025.11042919. [pdf]
3. Ke Chen , Tianqing Wu , Ying Bi , Jing Liang , and Kunjie Yu . Dynamic Threshold Selection in Genetic Programming for Imbalanced Fault Diagnosis, 2025 IEEE Congress on Evolutionary Computation (CEC) 2025 , DOI: https://doi.org/10.1109/CEC65147.2025.11043109.
4. Kunjie Yu , Jintao Lian , Ying Bi , and Jing Liang . Automatic Feature Learning via Genetic Programming with Flexible Filtering for Skin Cancer Image Classification, 2025 IEEE Congress on Evolutionary Computation (CEC) 2025 , DOI: https://doi.org/10.1109/CEC65147.2025.11042919.
5. Jigang Fan , Ying Bi , Bing Xue , and Mengjie Zhang . Flexible Region Detection-based Genetic Programming for Fish Classification With Low-Quality Images, 2025 IEEE Congress on Evolutionary Computation (CEC) 2025 , DOI: https://doi.org/10.1109/CEC65147.2025.11043012.
6. Jing Liang , Wenjing Li , Yahui Jia , and Ying Bi . A Multitask Genetic Programming Approach with ANew Individual Representation to Symbolic Regression, 2025 International Conference on Electrical Automation and Artificial Intelligence (ICEAAI) 2025 , DOI: https://doi.org/10.1109/ICEAAI64185.2025.10956846.
7. Jing Liang , Zexuan Yang , and Ying Bi . A Two-Stage Approach Combining Feature Selection and Construction for Hyperspectral Crop Classification, 2025 IEEE Congress on Evolutionary Computation (CEC) 2025 , DOI: https://doi.org/10.1109/CEC65147.2025.11042960.
8. Stefano Cagnoni , Ying Bi , and Yanan Sun . Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition, Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion 2025 , DOI: https://doi.org/10.1145/3712255.3716517.
9. Wei-Feng Guo , Yang Li , Chuanqiang Wang , Kunjie Yu , Caitong Yue , and Ying Bi . Evolutionary Multitasking Optimization Based Multi-Objective Network Control Principles for Identifying Personalized Drug Targets with Cancer, 2024 International Conference on New Trends in Computational Intelligence (NTCI) 2025 , DOI: https://doi.org/10.1109/NTCI64025.2024.10776292.
10. K Yu , M Wang , Y Bi , J Liang , B Xue , and M Zhang . A Skin Cancer Classification Method Based on Genetic Programming with New Region Detection Operators, Pacific Rim International Conference on Artificial Intelligence, 116-131, 2025 2025 . [pdf]
11. Caitong Yue , Liming Liu , Jing Liang , Gongping Li , Ying Bi , and Mingyuan Yu . Multimodal Multi-Objective Flexible Job Shop Scheduling: A Preliminary Study, 2024 IEEE Congress on Evolutionary Computation (CEC) 2024 , DOI: https://doi.org/10.1109/CEC60901.2024.10612067.
12. Yuefeng Liao , Zhiqiang Wang , Wenjing Li , and Ying Bi . A Genetic Programming Approach to Energy Storage Battery State of Charge Estimation, Springer Nature Singapore 2024 , DOI: https://doi.org/10.1007/978-981-96-4067-6_40.
13. Jiayin Chen , Ya-Hui Jia , Ying Bi , and Wei-neng Chen . Generate a Single Heuristic for Multiple Dynamic Flexible Job Shop Scheduling Tasks by Genetic Programming, 2024 IEEE Congress on Evolutionary Computation (CEC) 2024 , DOI: https://doi.org/10.1109/CEC60901.2024.10611762.
14. Jing Liang , Zexuan Yang , Tuo Zhang , and Ying Bi . A Two-Stage Approach Using Genetic Algorithm and Genetic Programming for Remote Sensing Crop Classification, 2024 IEEE Congress on Evolutionary Computation (CEC) 2024 , DOI: https://doi.org/10.1109/CEC60901.2024.10612210.
15. Qinglan , Ying Bi , Bing Xue , Jane Symonds , Lauren M. Fletcher , and Mengjie Zhang . Automatic Quantification of King Salmon Farm Net Occlusion Via Biofouling Detection, 2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ) 2024 , DOI: https://doi.org/10.1109/IVCNZ64857.2024.10794201.
16. Dylon Zeng , Ying Bi , and Mengjie Zhang . Genetic Programming-Based Multi-Object Matching for Mussel Floats in Mussel Farm Images, 2024 39th International Conference on Image and Vision Computing New Zealand (IVCNZ) 2024 , DOI: https://doi.org/10.1109/IVCNZ64857.2024.10794448.
17. Tuo Zhang , Ying Bi , Jing Liang , and Mengjie Zhang . Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification, Proceedings of the Genetic and Evolutionary Computation Conference Companion 2024 , DOI: https://doi.org/10.1145/3638530.3654306.
18. Ying Bi , Mengjie Zhang , and Cagnoni Stefano . Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition, Proceedings of the Genetic and Evolutionary Computation Conference Companion 2024 , DOI: https://doi.org/10.1145/3638530.3648410.
19. Yi Liu , Ying Bi , Yu Cui , Chengyuan Zhu , Wen Cheng , Mingkai Sheng , and Yiding Zhang . Adapting explainable Decision Sets to Continuous-based Real-World Problems, 2024 7th International Symposium on Autonomous Systems (ISAS) 2024 , DOI: https://doi.org/10.1109/ISAS61044.2024.10552551.
20. Qinyu Wang , Ying Bi , Bing Xue , and 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 , DOI: https://doi.org/10.1007/978-3-031-56855-8_12.
21. Kangjia, Qiao , Jing, Liang , Ying, Bi , Kunjie, Yu , Caitong Yue , and Boyang Qu . An Unconstrained Auxiliary Framework for Constrained Many-Objective Optimization, Proceedings of the 5th International Conference on Data-driven Optimization of Complex Systems 2023 , DOI: https://doi.org/10.1109/DOCS60977.2023.10295009. [pdf]
22. Jing, Liang , Xudong, Sui , Caitong Yue , Ying, Bi , and Mingyuan, Yu . Differential Evolution Using Interpolation Strategy for Multimodal Multiobjective Optimization., ISCTIS 2023 , DOI: https://doi.org/10.1109/ISCTIS58954.2023.10213183. [pdf]
23. Dylon, Zeng , Ying, Bi , Ivy, Liu , Bing, Xue , Ross, Vennell , and Mengjie, Zhang . A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images., IVCNZ 2023 , DOI: https://doi.org/10.1109/IVCNZ61134.2023.10343758. [pdf]
24. Jing Liang , Zhuo Hu , Zong-Wei Li , Ying Bi , Han Cheng , and 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 2023 , DOI: https://doi.org/10.1109/DOCS60977.2023.10294581.
25. Qinglan, Fan , Ying, Bi , Bing, Xue , and Mengjie, Zhang . Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming., Springer 2022 , DOI: https://doi.org/https://doi.org/10.1007/978-3-031-22695-3_21.
26. 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., SSCI 2022 , DOI: https://doi.org/10.1109/SSCI51031.2022.10022182. [pdf]
27. Caleb, Buchanan , Ying, Bi , Bing, Xue , Ross, Vennell , Simon, Childerhouse , Matthew, K. Pine , Dana, Briscoe , and Mengjie, Zhang . Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks., IVCNZ 2021 , DOI: https://doi.org/10.1109/IVCNZ54163.2021.9653250. [pdf]
28. Alistair John McLeay , Abigail, McGhie , Dana, Briscoe , Ying, Bi , Bing, Xue , and Ross, Vennell . Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms., SSCI 2021 , DOI: https://doi.org/10.1109/SSCI50451.2021.9659987. [pdf]
29. Zichu, Yan , Ying, Bi , Bing, Xue , and Mengjie, Zhang . Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification., CEC 2021 , DOI: https://doi.org/10.1109/CEC45853.2021.9504737. [pdf]
30. Qinglan, Fan , Ying, Bi , Bing, Xue , and Mengjie, Zhang . Genetic Programming with A New Representation and A New Mutation Operator for Image Classification., GECCO 2021 , DOI: https://doi.org/10.1109/CEC45853.2021.9504737. [pdf]
31. Ying, Bi , Bing, Xue , and Mengjie, Zhang . Automatically Extracting Features for Face Classification Using Multi-Objective Genetic Programming., GECCO 2020 . [pdf]
32. Ying, Bi , Bing, Xue , and Mengjie, Zhang . Genetic Programming-Based Feature Learning for Facial Expression Classification., CEC 2020 , DOI: https://doi.org/10.1109/CEC48606.2020.9185491. [pdf]
33. Y Bi , B Xue , and M Zhang . Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming, International Conference on Parallel Problem Solving from Nature, 3-18, 2020 2020 . [pdf]
34. Ying, Bi , Bing, Xue , and Mengjie, Zhang . An Automated Ensemble Learning Framework Using Genetic Programming for Image Classification., GECCO 2019 . [pdf]
35. Ying, Bi , Bing, Xue , and Mengjie, Zhang . An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification., CEC 2019 , DOI: https://doi.org/10.1109/CEC.2019.8790151. [pdf]
36. Ying, Bi , Mengjie, Zhang , and Bing, Xue . Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification., CEC 2018 , DOI: https://doi.org/10.1109/CEC.2018.8477911. [pdf]
37. Y Bi , B Xue , and M Zhang . An automatic feature extraction approach to image classification using genetic programming, International Conference on the Applications of Evolutionary Computation …, 2018 2018 . [pdf]
38. Y Bi , B Xue , and M Zhang . A Gaussian filter-based feature learning approach using genetic programming to image classification, Australasian Joint Conference on Artificial Intelligence, 251-257, 2018 2018 . [pdf]
39. Y Bi , B Xue , and M Zhang . Learning Approach Using Genetic Programming to Image Classification, AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 2018 . [pdf]
40. Y Bi , B Xue , and M Zhang . Approach to Image Classification Using Genetic Programming, Applications of Evolutionary Computation: 21st International Conference …, 2018 2018 . [pdf]
41. Ying, Bi , Mengjie, Zhang , and Bing, Xue . An Automatic Region Detection and Processing Approach in Genetic Programming for Binary Image Classification., IVCNZ 2017 , DOI: https://doi.org/10.1109/IVCNZ.2017.8402469. [pdf]
42. X Fu , FTS Chan , B Niu , SH Chung , and Y Bi . Minimization of makespan through jointly scheduling strategy in production system with mould maintenance consideration, International conference on intelligent computing, 577-586, 2017 2017 . [pdf]
43. Yi, Wang , Ying, Bi , Ting, Xie , and Jing, Liu . Evaluation of the Comprehensive Strength of the Listed Companies in China’s Cultural Media Industry., ICSSSM 2015 , DOI: https://doi.org/10.1109/ICSSSM.2015.7170306. [pdf]
44. Chen, Guo , Zhiwen, Guo , Ben, Niu , and Ying, Bi . A Hybrid Bacterial Foraging Optimization Based on Time-varying Chemotaxis Step and Dynamic Topology Structure., MEBE 2015 , DOI: https://doi.org/10.2991/mebe-15.2015.135. [pdf]
45. B Niu , Y Bi , FTS Chan , and ZX Wang . SRBFO algorithm for production scheduling with mold and machine maintenance consideration, International Conference on Intelligent Computing, 733-741, 2015 2015 . [pdf]
46. X He , J Wang , and Y Bi . A Novel Branch-Leaf Growth Algorithm for Numerical Optimization, International Conference on Intelligent Computing, 742-750, 2015 2015 . [pdf]
47. Ben, Niu , Jing, Liu , Ying, Bi , Ting, Xie , and Lijingh Tan . Improved Bacterial Foraging Optimization Algorithm with Information Communication Mechanism. , CIS 2014 , DOI: https://doi.org/10.1109/CIS.2014.106. [pdf]
48. Ben, Niu , and Ying, Bi . Binary Bacterial Foraging Optimization for 0/1 Knapsack Problem., CEC 2014 , DOI: https://doi.org/10.1109/CEC.2014.6900513. [pdf]
49. Hanyang, Luo , Jingjing, Wang , and Ying, Bi . Empirical Research on Consumers’ Intention to Purchase Online., ICSSSM 2014 , DOI: https://doi.org/10.1109/ICSSSM.2014.6943359. [pdf]
50. B Niu , Y Bi , and T Xie . Structure-redesign-based bacterial foraging optimization for portfolio selection, International Conference on Intelligent Computing, 424-430, 2014 2014 . [pdf]
51. B Niu , T Xie , Y Bi , and J Liu . Bacterial colony optimization for integrated yard truck scheduling and storage allocation problem, International Conference on Intelligent Computing, 431-437, 2014 2014 . [pdf]