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 | 412 | 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 | 36 | 2019 |
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 25, 7222-7234, 2022 | 22 | 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 34 (12), 10051-10064, 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 |
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 |
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 |
RADEAN: A Resource Allocation Model Based on Deep Reinforcement Learning and Generative Adversarial Networks in Edge Computing Z Yu, S Zhao, T Su, W Liu, X Liu, G Wang, Z Wang, VCM Leung International Conference on Mobile and Ubiquitous Systems: Computing …, 2023 | | 2023 |