| 2026 | ISKE | Federated Unlearning Model Recovery in Data with Skewed Label Distributions. | Xinrui Yu, Wenbin Pei, Bing Xue, Qiang Zhang |
| 2024 | AAAI | Diffusion Language-Shapelets for Semi-supervised Time-Series Classification. | Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma |
| 2023 | CEC | A Knowledge Transfer-Based Genetic Algorithm for Multi-Target Robotic Arm Control. | Zheng Guo, Zhaoping Yu, Wenbin Pei, Chuan Wang, Yaqing Hou, Chenchen Zhang, Zexuan Zhu, Xianneng Li |
| 2023 | CEC | Surrogate-Assisted Morphology Optimization by Genetic Algorithms. | Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng |
| 2021 | GECCO | Genetic programming for borderline instance detection in high-dimensional unbalanced classification. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2021 | GECCO | Evolving local interpretable model-agnostic explanations for deep neural networks in image classification. | Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang |
| 2020 | CEC | A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2020 | GECCO | A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2019 | CEC | New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |
| 2019 | GECCO | Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification. | Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang |