| FL-AGCNS: federated learning framework for automatic graph convolutional network search C Wang, B Chen, G Li, H Wang arXiv preprint arXiv:2104.04141, 2021 | 20 | 2021 |
| Auto-stgcn: Autonomous spatial-temporal graph convolutional network search C Wang, K Zhang, H Wang, B Chen ACM Transactions on Knowledge Discovery from Data 17 (5), 1-21, 2023 | 16 | 2023 |
| Automated graph neural network search under federated learning framework C Wang, B Chen, G Li, H Wang IEEE Transactions on Knowledge and Data Engineering 35 (10), 9959-9972, 2023 | 12 | 2023 |
| Auto-STGCN: Autonomous spatial-temporal graph convolutional network search based on reinforcement learning and existing research results C Wang, K Zhang, H Wang, B Chen arXiv preprint arXiv:2010.07474, 2020 | 11 | 2020 |
| Differentiable Self-Adaptive Learning Rate B Chen, H Wang, C Ba arXiv preprint arXiv:2210.10290, 2022 | 4 | 2022 |
| Automatic hyper-parameter optimization based on mapping discovery from data to hyper-parameters B Chen, K Zhang, L Ou, C Ba, H Wang, C Wang arXiv preprint arXiv:2003.01751, 2020 | 2 | 2020 |
| SoftStep relaxation for mining optimal convolution kernel B Chen, H Wang Knowledge-Based Systems 276, 110755, 2023 | | 2023 |
| ConsciousControlFlow (CCF): Conscious Artificial Intelligence Based on Needs H Wang, B Chen, Y Xu, K Zhang, S Zheng Journal of Artificial Intelligence and Consciousness 9 (01), 93-110, 2022 | | 2022 |
| EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective Z An, B Chen, H Quan, Q Lin, H Wang arXiv preprint arXiv:2009.08656, 2020 | | 2020 |
| ConsciousControlFlow (CCF): A Demonstration for conscious Artificial Intelligence H Wang, B Chen, Y Xu, K Zhang, S Zheng arXiv preprint arXiv:2004.04376, 2020 | | 2020 |
| Differentiable Hyper-parameter Optimization B Chen, H Wang, C Ba | | |
