| Attention based spatial-temporal graph convolutional networks for traffic flow forecasting S Guo, Y Lin, N Feng, C Song, H Wan Proceedings of the AAAI conference on artificial intelligence 33 (01), 922-929, 2019 | 1174 | 2019 |
| Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting C Song, Y Lin, S Guo, H Wan Proceedings of the AAAI conference on artificial intelligence 34 (01), 914-921, 2020 | 481 | 2020 |
| Deep spatial–temporal 3D convolutional neural networks for traffic data forecasting S Guo, Y Lin, S Li, Z Chen, H Wan IEEE Transactions on Intelligent Transportation Systems 20 (10), 3913-3926, 2019 | 248 | 2019 |
| Balanced multi-label propagation for overlapping community detection in social networks ZH Wu, YF Lin, S Gregory, HY Wan, SF Tian Journal of Computer Science and Technology 27 (3), 468-479, 2012 | 156 | 2012 |
| Residual networks for light field image super-resolution S Zhang, Y Lin, H Sheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 140 | 2019 |
| Learning dynamics and heterogeneity of spatial-temporal graph data for traffic forecasting S Guo, Y Lin, H Wan, X Li, G Cong IEEE Transactions on Knowledge and Data Engineering 34 (11), 5415-5428, 2021 | 114 | 2021 |
| Link prediction with node clustering coefficient Z Wu, Y Lin, J Wang, S Gregory Physica A: Statistical Mechanics and its Applications 452, 1-8, 2016 | 100 | 2016 |
| GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification. Z Jia, Y Lin, J Wang, R Zhou, X Ning, Y He, Y Zhao IJCAI, 1324-1330, 2020 | 94 | 2020 |
| Multi-view spatial-temporal graph convolutional networks with domain generalization for sleep stage classification Z Jia, Y Lin, J Wang, X Ning, Y He, R Zhou, Y Zhou, HL Li-wei IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1977-1986, 2021 | 61 | 2021 |
| Spatio-temporal recurrent convolutional networks for citywide short-term crowd flows prediction W Jin, Y Lin, Z Wu, H Wan Proceedings of the 2nd International Conference on Compute and Data Analysis …, 2018 | 59 | 2018 |
| Sst-emotionnet: Spatial-spectral-temporal based attention 3d dense network for eeg emotion recognition Z Jia, Y Lin, X Cai, H Chen, H Gou, J Wang Proceedings of the 28th ACM international conference on multimedia, 2909-2917, 2020 | 55 | 2020 |
| CTS-LSTM: LSTM-based neural networks for correlatedtime series prediction H Wan, S Guo, K Yin, X Liang, Y Lin Knowledge-Based Systems 191, 105239, 2020 | 53 | 2020 |
| A RR interval based automated apnea detection approach using residual network L Wang, Y Lin, J Wang Computer methods and programs in biomedicine 176, 93-104, 2019 | 49 | 2019 |
| Efficient overlapping community detection in huge real-world networks Z Wu, Y Lin, H Wan, S Tian, K Hu Physica A: Statistical Mechanics and its Applications 391 (7), 2475-2490, 2012 | 45 | 2012 |
| A new exhaustive method and strategy for finding motifs in ChIP-enriched regions C Jia, MB Carson, Y Wang, Y Lin, H Lu PLoS One 9 (1), e86044, 2014 | 40 | 2014 |
| Salientsleepnet: Multimodal salient wave detection network for sleep staging Z Jia, Y Lin, J Wang, X Wang, P Xie, Y Zhang arXiv preprint arXiv:2105.13864, 2021 | 39 | 2021 |
| End-to-end light field spatial super-resolution network using multiple epipolar geometry S Zhang, S Chang, Y Lin IEEE Transactions on Image Processing 30, 5956-5968, 2021 | 36 | 2021 |
| Improving relation classification by entity pair graph Y Zhao, H Wan, J Gao, Y Lin Asian Conference on Machine Learning, 1156-1171, 2019 | 35 | 2019 |
| Time-frequency convolutional neural network for automatic sleep stage classification based on single-channel EEG L Wei, Y Lin, J Wang, Y Ma 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 35 | 2017 |
| Attention-based multi-level fusion network for light field depth estimation J Chen, S Zhang, Y Lin Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1009-1017, 2021 | 30 | 2021 |
Huaiyu Wan (万怀宇)Professor, Beijing Jiaotong University在 bjtu.edu.cn 的电子邮件经过验证
![Zhihao Wu [武志昊]](https://images.xueshu.lanfanshu.cn/citations?view_op=small_photo&user=yETXy34AAAAJ&citpid=4)
