Artificial intelligence: A powerful paradigm for scientific research Y Xu, X Liu, X Cao, C Huang, E Liu, S Qian, X Liu, Y Wu, F Dong, CW Qiu, ... The Innovation 2 (4), 2021 | 577 | 2021 |
无线传感器网络技术 李晓维, 徐勇军, 任丰原 北 京 理 工 大 学 出 版 社, 2007 | 247 | 2007 |
Localization algorithms of underwater wireless sensor networks: A survey G Han, J Jiang, L Shu, Y Xu, F Wang Sensors 12 (2), 2026-2061, 2012 | 246 | 2012 |
2FLIP: A two-factor lightweight privacy-preserving authentication scheme for VANET F Wang, Y Xu, H Zhang, Y Zhang, L Zhu IEEE Transactions on Vehicular Technology 65 (2), 896-911, 2015 | 221 | 2015 |
Mapping global shipping density from AIS data L Wu, Y Xu, Q Wang, F Wang, Z Xu The Journal of Navigation 70 (1), 67-81, 2017 | 190 | 2017 |
QMR: Q-learning based multi-objective optimization routing protocol for flying ad hoc networks J Liu, Q Wang, CT He, K Jaffrès-Runser, Y Xu, Z Li, YJ Xu Computer Communications 150, 304-316, 2020 | 133 | 2020 |
Cross-image relational knowledge distillation for semantic segmentation C Yang, H Zhou, Z An, X Jiang, Y Xu, Q Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 130 | 2022 |
Pre-training enhanced spatial-temporal graph neural network for multivariate time series forecasting Z Shao, Z Zhang, F Wang, Y Xu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 124 | 2022 |
Decoupled dynamic spatial-temporal graph neural network for traffic forecasting Z Shao, Z Zhang, W Wei, F Wang, Y Xu, X Cao, CS Jensen arXiv preprint arXiv:2206.09112, 2022 | 111 | 2022 |
LESPP: lightweight and efficient strong privacy preserving authentication scheme for secure VANET communication M Wang, D Liu, L Zhu, Y Xu, F Wang Computing 98 (7), 685-708, 2016 | 111 | 2016 |
Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting Z Shao, Z Zhang, F Wang, W Wei, Y Xu Proceedings of the 31st ACM International Conference on Information …, 2022 | 89 | 2022 |
Weighted-median based distributed fault detection for wireless sensor networks 高建良, 徐勇军, 李晓维 Journal of Software 18 (5), 1208-1217, 2007 | 82 | 2007 |
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 |
FT-SPEED: A fault-tolerant, real-time routing protocol for wireless sensor networks L Zhao, B Kan, Y Xu, X Li 2007 International Conference on Wireless Communications, Networking and …, 2007 | 63 | 2007 |
A robust location algorithm with biased extended Kalman filtering of TDOA data for wireless sensor networks C Hongyang, D Ping, X Yongjun, L Xiaowei Proceedings. 2005 International Conference on Wireless Communications …, 2005 | 62 | 2005 |
SNAMP: A multi-sniffer and multi-view visualization platform for wireless sensor networks Y Yang, P Xia, L Huang, Q Zhou, Y Xu, X Li 2006 1ST IEEE Conference on Industrial Electronics and Applications, 1-4, 2006 | 61 | 2006 |
Nonidentical linear pulse-coupled oscillators model with application to time synchronization in wireless sensor networks Z An, H Zhu, X Li, C Xu, Y Xu, X Li IEEE Transactions on Industrial Electronics 58 (6), 2205-2215, 2009 | 59 | 2009 |
A loss inference algorithm for wireless sensor networks to improve data reliability of digital ecosystems Y Yang, Y Xu, X Li, C Chen IEEE Transactions on Industrial Electronics 58 (6), 2126-2137, 2011 | 58 | 2011 |
Mutual contrastive learning for visual representation learning C Yang, Z An, L Cai, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3045-3053, 2022 | 54 | 2022 |
Hierarchical self-supervised augmented knowledge distillation C Yang, Z An, L Cai, Y Xu arXiv preprint arXiv:2107.13715, 2021 | 54 | 2021 |