Improving both energy and time efficiency of depth-based routing for underwater sensor networks B Diao, Y Xu, Z An, F Wang, C Li International Journal of Distributed Sensor Networks 11 (10), 781932, 2015 | 70 | 2015 |
DTMAC: A delay tolerant MAC protocol for underwater wireless sensor networks C Li, Y Xu, C Xu, Z An, B Diao, X Li IEEE Sensors Journal 16 (11), 4137-4146, 2015 | 55 | 2015 |
DBR-MAC: A depth-based routing aware MAC protocol for data collection in underwater acoustic sensor networks C Li, Y Xu, B Diao, Q Wang, Z An IEEE Sensors Journal 16 (10), 3904-3913, 2016 | 52 | 2016 |
Multi-objective pruning for cnns using genetic algorithm C Yang, Z An, C Li, B Diao, Y Xu Artificial Neural Networks and Machine Learning–ICANN 2019: Deep Learning …, 2019 | 35 | 2019 |
FDCA: A full-duplex collision avoidance MAC protocol for underwater acoustic networks C Li, Y Xu, Q Wang, B Diao, Z An, Z Chen, Z Luo IEEE sensors journal 16 (11), 4638-4647, 2016 | 35 | 2016 |
Interpretable Generative Adversarial Networks C Li, K Yao, J Wang, B Diao, Y Xu, Q Zhang The Thirty-Sixth AAAI Conference on Artificial Intelligence(AAAI-2022), 2022 | 16 | 2022 |
Data security and privacy challenges of computing offloading in FINs F Wang, B Diao, T Sun, Y Xu IEEE Network 34 (2), 14-20, 2020 | 14 | 2020 |
A reliable depth-based routing protocol with network coding for underwater sensor networks B Diao, Y Xu, Q Wang, Z Chen, C Li, Z An, G Han 2016 IEEE 22nd International Conference on Parallel and Distributed Systems …, 2016 | 11 | 2016 |
A DoS-resilient enhanced two-factor user authentication scheme in wireless sensor networks F Wang, Y Zhang, Y Xu, L Wu, B Diao 2014 International Conference on Computing, Networking and Communications …, 2014 | 11 | 2014 |
A distributed sgd algorithm with global sketching for deep learning training acceleration LF Dai, B Diao, C Li, Y Xu arXiv preprint arXiv:2108.06004, 2021 | 4 | 2021 |
Vessel trajectory partitioning based on hierarchical fusion of position data X Wu, L Wu, Y Xu, Z An, B Diao 2015 18th International Conference on Information Fusion (Fusion), 1230-1237, 2015 | 4 | 2015 |
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation L Huang, Y Zeng, C Yang, Z An, B Diao, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12591 …, 2024 | 3 | 2024 |
Pfgdf: Pruning filter via gaussian distribution feature for deep neural networks acceleration J Xu, B Diao, B Cui, K Yang, C Li, Y Xu arXiv preprint arXiv:2006.12963, 2020 | 3 | 2020 |
L0 regularization based fine-grained neural network pruning method Q Xie, C Li, B Diao, Z An, Y Xu 2019 11th International Conference on Electronics, Computers and Artificial …, 2019 | 3 | 2019 |
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View K Yao, J Wang, B Diao, C Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration J Xu, B Diao, B Cui, K Yang, C Li, H Hong 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 2 | 2022 |
Analysis of the influence degree of network pruning on fine-grained image processing tasks J Xu, B Diao, B Cui, C Li, Y Xu, H Hong 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP …, 2021 | 2 | 2021 |
A scalable testbed for task offloading and deployment of heterogeneous edge computing B Diao, K Yang, Y Mei, Q Wang, C Li, Z An, Y Xu 2019 IEEE International Conferences on Ubiquitous Computing & Communications …, 2019 | 2 | 2019 |
PDMAC-SIC: Priority-based distributed low delay MAC with successive interference cancellation for industrial wireless networks Y Xu, Q Wang, J Liu, C He, B Diao, Y Xu 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS), 1-6, 2019 | 2 | 2019 |
Mlops: A sic-based minimum frame length with optimized power scheduling for Uans C Li, Y Xu, Y Xu, B Diao, Z An IEEE Access 7, 21133-21146, 2019 | 2 | 2019 |