Genetic Programming Bibliography entries for Jing Liang

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GP coauthors/coeditors: Ying Bi, Bing Xue, Mengjie Zhang, 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, Wenjing Li, Ya-Hui Jia, Peng Wang2, Jintao Lian,

Genetic Programming Articles by Jing Liang

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

  2. 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, 4(2):2450009, 2024. details

  3. 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, 3(4):240-249, 2024. details

  4. 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, 62:1-17, 2024. details

  5. 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

  6. 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

  7. Peng Wang2 and Bing Xue and Jing Liang and Mengjie Zhang. Genetic Programming for Automatically Evolving Multiple Features to Classification. Evolutionary Computation. Just accepted. details

  8. 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

  9. 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

Genetic Programming conference papers by Jing Liang

  1. Jing Liang and Wenjing Li and Yahui Jia and Ying Bi. A Multitask Genetic Programming Approach with ANew Individual Representation to Symbolic Regression. In 2025 International Conference on Electrical Automation and Artificial Intelligence (ICEAAI), pages 1301-1306, 2025. details

  2. 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

  3. Peng Wang2 and Bing Xue and Jing Liang and Mengjie Zhang. Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming. In Bing Xue editor, 2024 IEEE Congress on Evolutionary Computation (CEC), Yokohama, Japan, 2024. IEEE. details

  4. 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

  5. Peng Wang2 and Bing Xue and Jing Liang and Mengjie Zhang. Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. In AI 2022: Advances in Artificial Intelligence, 2022. Springer. details