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 |
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 45 (9), 10669 …, 2023 | 63 | 2023 |
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 |
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 | 43 | 2020 |
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 |
Underwater pollution tracking based on software-defined multi-tier edge computing in 6G-based underwater wireless networks C Lin, G Han, J Jiang, C Li, SBH Shah, Q Liu IEEE Journal on Selected Areas in Communications 41 (2), 491-503, 2023 | 21 | 2023 |
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 | 18 | 2020 |
InSAR time-series deformation forecasting surrounding Salt Lake using deep transformer models J Wang, C Li, L Li, Z Huang, C Wang, H Zhang, Z Zhang Science of the Total Environment 858, 159744, 2023 | 16 | 2023 |
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 | 16 | 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 |
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 | 12 | 2022 |
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 |
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 | 8 | 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 | 8 | 2021 |
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 | 7 | 2022 |
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 | 6 | 2023 |
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 |
Retain and recover: Delving into information loss for few-shot segmentation C Lang, G Cheng, B Tu, C Li, J Han IEEE Transactions on Image Processing, 2023 | 4 | 2023 |