| Evolving deep convolutional neural networks by variable-length particle swarm optimization for image classification B Wang, Y Sun, B Xue, M Zhang 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 258 | 2018 |
| A hybrid differential evolution approach to designing deep convolutional neural networks for image classification B Wang, Y Sun, B Xue, M Zhang AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 | 100 | 2018 |
| Particle swarm optimisation for evolving deep neural networks for image classification by evolving and stacking transferable blocks B Wang, B Xue, M Zhang 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 83 | 2020 |
| Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification B Wang, Y Sun, B Xue, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference, 490-498, 2019 | 82 | 2019 |
| Surrogate-assisted particle swarm optimization for evolving variable-length transferable blocks for image classification B Wang, B Xue, M Zhang IEEE transactions on neural networks and learning systems 33 (8), 3727-3740, 2021 | 60 | 2021 |
| A hybrid GA-PSO method for evolving architecture and short connections of deep convolutional neural networks B Wang, Y Sun, B Xue, M Zhang PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 49 | 2019 |
| Particle swarm optimization for efficiently evolving deep convolutional neural networks using an autoencoder-based encoding strategy G Yuan, B Wang, B Xue, M Zhang IEEE Transactions on Evolutionary Computation, 2023 | 23 | 2023 |
| Particle swarm optimization for evolving deep convolutional neural networks for image classification: Single-and multi-objective approaches B Wang, B Xue, M Zhang Deep Neural Evolution: Deep Learning with Evolutionary Computation, 155-184, 2020 | 23 | 2020 |
| A multi-objective genetic algorithm to evolving local interpretable model-agnostic explanations for deep neural networks in image classification B Wang, W Pei, B Xue, M Zhang IEEE Transactions on Evolutionary Computation, 2022 | 18 | 2022 |
| Explaining deep convolutional neural networks for image classification by evolving local interpretable model-agnostic explanations B Wang, W Pei, B Xue, M Zhang arXiv preprint arXiv:2211.15143, 2022 | 6 | 2022 |
| Evolving local interpretable model-agnostic explanations for deep neural networks in image classification B Wang, W Pei, B Xue, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 5 | 2021 |
| A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks B Wang, B Xue, M Zhang Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 4 | 2021 |
| A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks Q Long, B Wang, B Xue, M Zhang arXiv preprint arXiv:2501.17411, 2025 | | 2025 |
| Evolving Deep Neural Networks with Explanations for Image Classification B Wang Open Access Te Herenga Waka-Victoria University of Wellington, 2023 | | 2023 |
| An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks B Wang, B Xue, M Zhang arXiv preprint arXiv:2212.03942, 2022 | | 2022 |
Bing Xue, Fellow of IEEE, Fellow of En...Professor of Artificial Intelligence, Victoria University of Wellington在 ecs.vuw.ac.nz 的电子邮件经过验证