| 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 | 492 | 2021 |
| 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 | 111 | 2022 |
| 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 |
| 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 |
| 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 |
| Time synchronization in wireless sensor networks using max and average consensus protocol Z Dengchang, A Zhulin, X Yongjun International Journal of Distributed Sensor Networks 9 (3), 192128, 2013 | 53 | 2013 |
| 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 | 52 | 2022 |
| 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 |
| Hierarchical self-supervised augmented knowledge distillation C Yang, Z An, L Cai, Y Xu arXiv preprint arXiv:2107.13715, 2021 | 51 | 2021 |
| EENA: Efficient evolution of neural architecture H Zhu, Z An, C Yang, K Xu, E Zhao, Y Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 47 | 2019 |
| 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 |
| Tdma versus csma/ca for wireless multihop communications: A stochastic worst-case delay analysis Q Wang, K Jaffres-Runser, Y Xu, JL Scharbarg, Z An, C Fraboul IEEE Transactions on Industrial Informatics 13 (2), 877-887, 2016 | 37 | 2016 |
| Distributed multi-target tracking based on the K-MTSCF algorithm in camera networks Y Chen, Q Zhao, Z An, P Lv, L Zhao IEEE Sensors Journal 16 (13), 5481-5490, 2016 | 34 | 2016 |
| 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 |
| 无线传感器网络实验教程 徐勇军， 安竹林， 蒋文丰 北京: 北京理工大学出版社, 2007 | 32 | 2007 |
| Mixskd: Self-knowledge distillation from mixup for image recognition C Yang, Z An, H Zhou, L Cai, X Zhi, J Wu, Y Xu, Q Zhang European Conference on Computer Vision, 534-551, 2022 | 28 | 2022 |
| 基于 MPI 的主从式并行遗传算法框架 刘晓平， 安竹林， 郑利平 系统仿真学报 16 (9), 1938-1940, 2004 | 25 | 2004 |
| Prior gradient mask guided pruning-aware fine-tuning L Cai, Z An, C Yang, Y Yan, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 140-148, 2022 | 22 | 2022 |
| Softer pruning, incremental regularization L Cai, Z An, C Yang, Y Xu 2020 25th international conference on pattern recognition (ICPR), 224-230, 2021 | 22 | 2021 |
