| BAT: Deep learning methods on network intrusion detection using NSL-KDD dataset T Su, H Sun, J Zhu, S Wang, Y Li IEEE Access 8, 29575-29585, 2020 | 321 | 2020 |
| HDL: Hierarchical deep learning model based human activity recognition using smartphone sensors T Su, H Sun, C Ma, L Jiang, T Xu 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 31 | 2019 |
| 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 | 12 | 2022 |
| DDistill-SR: Reparameterized dynamic distillation network for lightweight image super-resolution Y Wang, T Su, Y Li, J Cao, G Wang, X Liu IEEE Transactions on Multimedia, 2022 | 11 | 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 | 10 | 2021 |
| 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, 2022 | 7 | 2022 |
| DeepSCJD: an online deep learning-based model for secure collaborative job dispatching in edge computing Z Yu, S Zhao, T Su, W Liu, X Liu, G Wang, Z Wang, VCM Leung International Conference on Service-Oriented Computing, 481-497, 2022 | 1 | 2022 |
| 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 | | 2023 |
Qiyu LiangCollege of Computer Science, Nankai University, Tianjin, ChinaVerified email at nbjl.nankai.edu.cn
