| 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 | 54 | 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 |
| Base and meta: A new perspective on few-shot segmentation C Lang, G Cheng, B Tu, C Li, J Han IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 44 | 2023 |
| Gated convolutional networks with hybrid connectivity for image classification C Yang, Z An, H Zhu, X Hu, K Zhang, K Xu, C Li, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12581 …, 2020 | 38 | 2020 |
| 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 | 34 | 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 | 33 | 2019 |
| A deep neural network compression algorithm based on knowledge transfer for edge devices Y Chen, C Li, L Gong, X Wen, Y Zhang, W Shi Computer Communications 163, 186-194, 2020 | 17 | 2020 |
| Interpretable generative adversarial networks C Li, K Yao, J Wang, B Diao, Y Xu, Q Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1280-1288, 2022 | 14 | 2022 |
| A Binarized segmented ResNet based on edge computing for re-identification Y Chen, T Yang, C Li, Y Zhang Sensors 20 (23), 6902, 2020 | 13 | 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 |
| Intelligent blockchain-enabled adaptive collaborative resource scheduling in large-scale industrial internet of things K Lin, J Gao, G Han, H Wang, C Li IEEE Transactions on Industrial Informatics 18 (12), 9196-9205, 2022 | 9 | 2022 |
| Data augmentation for few-shot knowledge graph completion from hierarchical perspective Y Yao, Z Zhang, Y Xu, C Li Proceedings of the 29th International Conference on Computational …, 2022 | 6 | 2022 |
| Towards robust knowledge graph embedding via multi-task reinforcement learning Z Zhang, F Zhuang, H Zhu, C Li, H Xiong, Q He, Y Xu IEEE Transactions on Knowledge and Data Engineering 35 (4), 4321-4334, 2021 | 6 | 2021 |
| Channel pruning via multi-criteria based on weight dependency Y Yan, R Guo, C Li, K Yang, Y Xu 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 6 | 2021 |
| A deep neural network compression algorithm based on knowledge transfer for edge device C Li, X Ma, Z An, Y Xu 2018 IEEE/ACM Symposium on Edge Computing (SEC), 334-335, 2018 | 5 | 2018 |
| Topic-aware intention network for explainable recommendation with knowledge enhancement Q Li, Z Zhang, F Zhuang, Y Xu, C Li ACM Transactions on Information Systems 41 (4), 1-23, 2023 | 4 | 2023 |
| 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 |
| 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 |
Boyu DiaoInstitute Of Computing Technology Chinese Academy Of SciencesVerified email at ict.ac.cn
