| 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 | 2721 | 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 | 1340 | 2020 |
| 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 | 532 | 2021 |
| 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 | 424 | 2019 |
| 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 2021, 1324-1330, 2020 | 246 | 2020 |
| 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 | 238 | 2019 |
| 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 | 204 | 2021 |
| 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 | 172 | 2012 |
| 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 | 151 | 2020 |
| 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 | 133 | 2016 |
| 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 | 114 | 2021 |
| Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction Y Lin, H Wan, S Guo, Y Lin Proceedings of the AAAI conference on artificial intelligence 35 (5), 4241-4248, 2021 | 111 | 2021 |
| 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 | 102 | 2020 |
| HetEmotionNet: two-stream heterogeneous graph recurrent neural network for multi-modal emotion recognition Z Jia, Y Lin, J Wang, Z Feng, X Xie, C Chen Proceedings of the 29th ACM international conference on multimedia, 1047-1056, 2021 | 94 | 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 | 93 | 2018 |
| 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 | 91 | 2021 |
| GSNet: Learning spatial-temporal correlations from geographical and semantic aspects for traffic accident risk forecasting B Wang, Y Lin, S Guo, H Wan Proceedings of the AAAI conference on artificial intelligence 35 (5), 4402-4409, 2021 | 91 | 2021 |
| 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 | 74 | 2019 |
| 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 | 73 | 2021 |
| Diffstg: Probabilistic spatio-temporal graph forecasting with denoising diffusion models H Wen, Y Lin, Y Xia, H Wan, Q Wen, R Zimmermann, Y Liang Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 71 | 2023 |
Huaiyu Wan (万怀宇)Professor, Beijing Jiaotong UniversityAdresă de e-mail confirmată pe bjtu.edu.cn