Genetic Programming Bibliography entries for Ying Bi

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GP coauthors/coeditors: Harith Al-Sahaf, Qi Chen, Andrew Lensen, Yi Mei, Yanan Sun, Binh Ngan Tran, Bing Xue, Mengjie Zhang, Dana Briscoe, Ross Vennell, Pablo Mesejo Santiago, Stefano Cagnoni, Jing Liang, Jiayin Chen, Ya-Hui Jia, Wei-Neng Chen, Qinglan Fan, Zong-Wei Li, Ze-Ning Sun, Han Cheng, Tao Zeng2, Wei-Feng Guo, Zexuan Yang, Tuo Zhang, Yaxin Chang, Caitong Yue, Boyang Qu, Mengnan Liu, Zhuo Hu, Kunjie Yu, Cai-Tong Yue, Xianfang Wang, Miao Lu, Qiong Hu, Yanbing Wei, Peng Yang, Wenbin Wu, Bo Peng, Shuting Wan, Han-Wen Wan, Meng-Han Wu, Wen-Shan Zhao, Xian-Fang Wang, Xiang-Rui Zhang, Yan Li, Shuai Wang, Shichen Huang, Shuai Liu, Qinyu Wang, Caiyun Wen, Shengnan Zhang, Qingbo Zhou, Zichu Yan, Shangshang Yang, Haiping Ma, Ye Tian, Limiao Zhang, Yaochu Jin, Xingyi Zhang, Jintao Lian, Dylon Zeng, Ivy Liu,

Genetic Programming Articles by Ying Bi

  1. Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang. A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification. IEEE Transactions on Evolutionary Computation, 28(3):718-732, 2024. details

  2. Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang. A genetic programming-based method for image classification with small training data. Knowledge-Based Systems, 283:111188, 2024. details

  3. Han-Wen Wan and Meng-Han Wu and Wen-Shan Zhao and Han Cheng and Ying Bi and Xian-Fang Wang and Xiang-Rui Zhang and Yan Li and Wei-Feng Guo. Label reusing based graph neural network for unbalanced classification of personalized driver genes in cancer. Applied Soft Computing, 159:111658, 2024. details

  4. Ying Bi and Jing Liang and Bing Xue and Mengjie Zhang. A Genetic Programming Approach with Building Block Evolving and Reusing to Image Classification. IEEE Transactions on Evolutionary Computation, 28(5):1366-1380, 2024. details

  5. Ying Bi and Bing Xue and Pablo Mesejo and 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, 27(1):5-25, 2023. details

  6. Ying Bi and Bing Xue and Mengjie Zhang. Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. IEEE Transactions on Cybernetics, 53(2):1118-1132, 2023. details

  7. Shuai Wang and Shichen Huang and Shuai Liu and Ying Bi. Not just select samples, but exploration: Genetic programming aided remote sensing target detection under deep learning. Applied Soft Computing, 145:110570, 2023. details

  8. Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang. Genetic Programming for Image Classification: A New Program Representation with Flexible Feature Reuse. IEEE Transactions on Evolutionary Computation, 27(3):460-474, 2023. details

  9. Jing Liang and Zong-Wei Li and Ze-Ning Sun and Ying Bi and Han Cheng and Tao Zeng2 and Wei-Feng Guo. Latent space search based multimodal optimization with personalized edge-network biomarker for multi-purpose early disease prediction. Briefings in Bioinformatics, 24(6):bbad364, 2023. details

  10. Ying Bi and Bing Xue and Dana Briscoe and Ross Vennell and Mengjie Zhang. A new artificial intelligent approach to buoy detection for mussel farming. Journal of the Royal Society of New Zealand, 53(1):27-51, 2023. details

  11. Ying Bi and Bing Xue and Mengjie Zhang. Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification. IEEE Transactions on Cybernetics, 52(8):8272-8285, 2022. details

  12. Caiyun Wen and Miao Lu and Ying Bi and Shengnan Zhang and Bing Xue and Mengjie Zhang and Qingbo Zhou and Wenbin Wu. An Object-Based Genetic Programming Approach for Cropland Field Extraction. Remote Sensing, 14(5) 2022. Special Issue Progresses in Agro-Geoinformatics. details

  13. Miao Lu and Ying Bi and Bing Xue and Qiong Hu and Mengjie Zhang and Yanbing Wei and Peng Yang and Wenbin Wu. Genetic Programming for High-Level Feature Learning in Crop Classification. Remote Sensing, 14(16):3982, 2022. Special Issue Remote Sensing for Mapping Farmland and Agricultural Infrastructure. details

  14. Ying Bi and Bing Xue and Mengjie Zhang. Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. IEEE Transactions on Evolutionary Computation, 26(2):218-232, 2022. Special Issue on Multitask Evolutionary Computation. details

  15. Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang. Genetic programming for feature extraction and construction in image classification. Applied Soft Computing, 118:108509, 2022. details

  16. Ying Bi and Bing Xue and Mengjie Zhang. Dual-Tree Genetic Programming for Few-Shot Image Classification. IEEE Transactions on Evolutionary Computation, 26(3):555-569, 2022. details

  17. Bo Peng and Ying Bi and Bing Xue and Mengjie Zhang and Shuting Wan. A Survey on Fault Diagnosis of Rolling Bearings. Algorithms, 15:article 347, 2022. Special Issue Artificial Intelligence for Fault Detection and Diagnosis. details

  18. Ying Bi and Bing Xue and Mengjie Zhang. Using a Small Number of Training Instances in Genetic Programming for Face Image Classification. Information Sciences, 593:488-504, 2022. details

  19. Bo Peng and Shuting Wan and Ying Bi and Bing Xue and Mengjie Zhang. Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis. IEEE Transactions on Cybernetics, 51(10):4909-4923, 2021. details

  20. Bo Peng and Ying Bi and Bing Xue and Mengjie Zhang and Shuting Wan. Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]. IEEE Computational Intelligence Magazine, 16(3):79-94, 2021. details

  21. Ying Bi and Bing Xue and Mengjie Zhang. A Divide-and-Conquer Genetic Programming Algorithm with Ensembles for Image Classification. IEEE Transactions on Evolutionary Computation, 25(6):1148-1162, 2021. details

  22. Ying Bi and Bing Xue and Mengjie Zhang. Multi-objective genetic programming for feature learning in face recognition. Applied Soft Computing, 103:107152, 2021. details

  23. Ying Bi and 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, 25(1):87-101, 2021. details

  24. Ying Bi and 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, 51(4):1769-1783, 2021. details

  25. Ying Bi and Bing Xue and Mengjie Zhang. An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier]. IEEE Computational Intelligence Magazine, 15(2):65-77, 2020. details

  26. Harith Al-Sahaf and Ying Bi and Qi Chen and Andrew Lensen and Yi Mei and Yanan Sun and Binh Tran and Bing Xue and Mengjie Zhang. A survey on evolutionary machine learning. Journal of the Royal Society of New Zealand, 49(2):205-228, 2019. The 2019 Annual Collection of Reviews. details

  27. Ying Bi and Bing Xue and Mengjie Zhang. A Survey on Genetic Programming to Image Analysis. Journal of Zhengzhou University (Engineering Science), 39(6):3-13, 2018. In Chinese. details

  28. Ying Bi and Bing Xue and Mengjie Zhang. Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. IEEE Transactions on Evolutionary Computation. Accepted for future publication. details

  29. Ying Bi and Bing Xue and Mengjie Zhang. Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification. IEEE Transactions on Cybernetics. Accepted for future publication. details

  30. Qinyu Wang and Ying Bi and Bing Xue and Mengjie Zhang. Genetic Programming With Flexible Region Detection for Fine-Grained Image Classification. IEEE Transactions on Evolutionary Computation. Early access. details

  31. Shangshang Yang and Haiping Ma and Ying Bi and Ye Tian and Limiao Zhang and 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. Accepted for future publication. details

  32. Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang. Multi-Tree Genetic Programming for Learning Color and Multi-Scale Features in Image Classification. IEEE Transactions on Evolutionary Computation. Accepted for future publication. details

  33. Jing Liang and Yaxin Chang and Ying Bi and Caitong Yue and Boyang Qu and Mengnan Liu. A New Road Extraction Method from Satellite Images Using Genetic Programming. Guidance, Navigation and Control. Accepted. details

  34. Kunjie Yu and Jintao Lian and Ying Bi and Jing Liang and Bing Xue and Mengjie Zhang. An Automated and Interpretable Computer-Aided Approach for Skin Cancer Diagnosis Using Genetic Programming. IEEE Transactions on Evolutionary Computation. Early Access. details

  35. Kunjie Yu and Jintao Lian and Ying Bi and Jing Liang and Bing Xue and Mengjie Zhang. A genetic programming approach with adaptive region detection to skin cancer image classification. Journal of Automation and Intelligence. details

  36. Jing Liang and Zhuo Hu and Ying Bi and Han Cheng and Kunjie Yu and Cai-Tong Yue and Xianfang Wang and Wei-Feng Guo. A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease. IEEE Transactions on Evolutionary Computation. Accepted for future publication. details

  37. Jing Liang and Zexuan Yang and Ying Bi and Boyang Qu and Mengnan Liu and Bing Xue and Mengjie Zhang. A Multi-Tree Genetic Programming-based Feature Construction Approach to Crop Classification Using Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. details

  38. Dylon Zeng and Ivy Liu and Ying Bi and Ross Vennell and Dana Briscoe and 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. details

Genetic Programming Books by Ying Bi

Genetic Programming PhD doctoral thesis Ying Bi

Genetic Programming conference papers by Ying Bi

  1. Tuo Zhang and Ying Bi and Jing Liang and Bing Xue and Mengjie Zhang. Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. In Ting Hu and Aniko Ekart editors, Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, pages 555-558, Melbourne, Australia, 2024. Association for Computing Machinery. details

  2. Jing Liang and Zexuan Yang and Tuo Zhang and Ying Bi. A Two-Stage Approach Using Genetic Algorithm and Genetic Programming for Remote Sensing Crop Classification. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  3. Jiayin Chen and Ya-Hui Jia and Ying Bi and Wei-Neng Chen. Generate a Single Heuristic for Multiple Dynamic Flexible Job Shop Scheduling Tasks by Genetic Programming. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  4. Qinyu Wang and Ying Bi and Bing Xue and Mengjie Zhang. Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data. In Stephen Smith and Joao Correia and Christian Cintrano editors, 27th International Conference, EvoApplications 2024, volume 14635, pages 196-211, Aberystwyth, 2024. Springer. details

  5. Dylon Zeng and Ying Bi and Ivy Liu and Bing Xue and Ross Vennell and Mengjie Zhang. A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images. In 2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ), Palmerston North, New Zealand, 2023. details

  6. Ying Bi and Bing Xue and Mengjie Zhang. Evolutionary Deep-Learning for Image Classification: A Genetic Programming Approach. In Gui DeSouza and Gary Yen editors, 2023 IEEE Congress on Evolutionary Computation (CEC), Chicago, USA, 2023. Tutorial. details

  7. Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang. Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. In AI 2022: Advances in Artificial Intelligence, 2022. Springer. details

  8. Zichu Yan and Ying Bi and Bing Xue and Mengjie Zhang. Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. In Yew-Soon Ong editor, 2021 IEEE Congress on Evolutionary Computation (CEC), pages 2015-2022, Krakow, Poland, 2021. details

  9. Qinglan Fan and Ying Bi and Bing Xue and Mengjie Zhang. Genetic Programming with A New Representation and A New Mutation Operator for Image Classification. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 249-250, internet, 2021. Association for Computing Machinery. details

  10. Ying Bi and Bing Xue and Mengjie Zhang. Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. In Thomas Baeck and Mike Preuss and Andre Deutz and Hao Wang2 and Carola Doerr and Michael Emmerich and Heike Trautmann editors, 16th International Conference on Parallel Problem Solving from Nature, Part I, volume 12269, pages 3-18, Leiden, Holland, 2020. Springer. details

  11. Ying Bi and Bing Xue and Mengjie Zhang. Automatically Extracting Features for Face Classification Using Multi-Objective Genetic Programming. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 117-118, internet, 2020. Association for Computing Machinery. details

  12. Ying Bi and Bing Xue and Mengjie Zhang. Genetic Programming-Based Feature Learning for Facial Expression Classification. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24102, internet, 2020. IEEE Press. details

  13. Ying Bi and Bing Xue and Mengjie Zhang. An automated ensemble learning framework using genetic programming for image classification. In Manuel Lopez-Ibanez and Thomas Stuetzle and Anne Auger and Petr Posik and Leslie Peprez Caceres and Andrew M. Sutton and Nadarajen Veerapen and Christine Solnon and Andries Engelbrecht and Stephane Doncieux and Sebastian Risi and Penousal Machado and Vanessa Volz and Christian Blum and Francisco Chicano and Bing Xue and Jean-Baptiste Mouret and Arnaud Liefooghe and Jonathan Fieldsend and Jose Antonio Lozano and Dirk Arnold and Gabriela Ochoa and Tian-Li Yu and Holger Hoos and Yaochu Jin and Ting Hu and Miguel Nicolau and Robin Purshouse and Thomas Baeck and Justyna Petke and Giuliano Antoniol and Johannes Lengler and Per Kristian Lehre editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, pages 365-373, Prague, Czech Republic, 2019. ACM. details

  14. Ying Bi and Bing Xue and Mengjie Zhang. An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. In Carlos A. Coello Coello editor, 2019 IEEE Congress on Evolutionary Computation, CEC 2019, pages 3197-3204, Wellington, New Zealand, 2019. IEEE Press. details

  15. Ying Bi and Bing Xue and Mengjie Zhang. A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification. In Tanja Mitrovic and Bing Xue and Xiaodong Li editors, Australasian Joint Conference on Artificial Intelligence, volume 11320, pages 251-257, Wellington, New Zealand, 2018. Springer. details

  16. Ying Bi and Bing Xue and Mengjie Zhang. An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming. In Stefano Cagnoni and Mengjie Zhang editors, 21st International Conference on the Applications of Evolutionary Computation, EvoIASP 2018, volume 10784, pages 421-438, Parma, Italy, 2018. Springer. details

  17. Ying Bi and Mengjie Zhang and Bing Xue. Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification. In Marley Vellasco editor, 2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018. IEEE. details

  18. Ying Bi and Mengjie Zhang and Bing Xue. An automatic region detection and processing approach in genetic programming for binary image classification. In 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2017. details