| SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation L Yi, J Zhang, R Zhang, J Shi, G Wang, X Liu International Conference on Artificial Neural Networks, 761-773, 2020 | 52 | 2020 |
| Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy DZ J Zhang, Q Fu, X Chen, L Du, Z Li, G Wang, S Han The Eleventh International Conference on Learning Representations, 2022, 2022 | 47 | 2022 |
| Deep cross-layer collaborative learning network for online knowledge distillation T Su, Q Liang, J Zhang, Z Yu, Z Xu, G Wang, X Liu IEEE Transactions on Circuits and Systems for Video Technology 33 (5), 2075-2087, 2022 | 18 | 2022 |
| STKD: Distilling Knowledge From Synchronous Teaching for Efficient Model Compression T Su, J Zhang, Z Yu, G Wang, X Liu IEEE Transactions on Neural Networks and Learning Systems, 2022 | 18 | 2022 |
| Attention-based Feature Interaction for Efficient Online Knowledge Distillation T Su, Q Liang, J Zhang, Z Yu, G Wang, X Liu 2021 IEEE International Conference on Data Mining (ICDM), 579-588, 2021 | 16 | 2021 |
| FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices L Yi, X Shi, N Wang, J Zhang, G Wang, X Liu IEEE Transactions on Mobile Computing, 2024 | 8 | 2024 |
| Self-Supervised Learning with Explorative Knowledge Distillation T Su, J Zhang, G Wang, X Liu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |