| 2025 | CEC | Efficient Federated Bayesian Optimization with Symbolic Regression Model. | Xilu Wang, Kaifeng Yang, Peng Liao, Mengxuan Zhang, Yaochu Jin |
| 2025 | CEC | Surrogate-Assisted Evolutionary Neural Architecture Search with Architecture Knowledge Transfer. | Peng Liao, Xilu Wang, Yaochu Jin, Chaoli Sun, Wenli Du |
| 2025 | ICCV | Neural Architecture Search Driven by Locally Guided Diffusion for Personalized Federated Learning. | Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du, Han Hu |
| 2025 | IJCNN | OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Framework. | Jiaxi Li, Lu Yin, Xilu Wang |
| 2024 | CEC | A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization. | Xiangyu Wang, Xilu Wang, Yaochu Jin, Ulrich Rckert |
| 2024 | ECCV | MO-EMT-NAS: Multi-objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets. | Peng Liao, Xilu Wang, Yaochu Jin, Wenli Du |
| 2024 | IJCNN | Evolutionary Complex-Valued CNN for PolSAR Image Classification. | Mengxuan Zhang, Jingyuan Shi, Long Liu, Xilu Wang, Licheng Jiao |
| 2023 | CEC | Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search. | Shiqing Liu, Xilu Wang, Yaochu Jin |
| 2020 | GECCO | Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. | Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer |