| Co-prediction of multiple transportation demands based on deep spatio-temporal neural network J Ye, L Sun, B Du, Y Fu, X Tong, H Xiong Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 145 | 2019 |
| Coupled layer-wise graph convolution for transportation demand prediction J Ye, L Sun, B Du, Y Fu, H Xiong Proceedings of the AAAI conference on artificial intelligence 35 (5), 4617-4625, 2021 | 137 | 2021 |
| Learning the evolutionary and multi-scale graph structure for multivariate time series forecasting J Ye, Z Liu, B Du, L Sun, W Li, Y Fu, H Xiong Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 74 | 2022 |
| GAN-based anomaly detection for multivariate time series using polluted training set B Du, X Sun, J Ye, K Cheng, J Wang, L Sun IEEE Transactions on Knowledge and Data Engineering 35 (12), 12208-12219, 2021 | 43 | 2021 |
| Investigation on the data augmentation using machine learning algorithms in structural health monitoring information X Tan, X Sun, W Chen, B Du, J Ye, L Sun Structural Health Monitoring 20 (4), 2054-2068, 2021 | 37 | 2021 |
| Development of load-temporal model to predict the further mechanical behaviors of tunnel structure under various boundary conditions B Du, W Li, X Tan, J Ye, W Chen, L Sun Tunnelling and Underground Space Technology 116, 104077, 2021 | 20 | 2021 |
| Spatio-temporal autoencoder for traffic flow prediction M Liu, T Zhu, J Ye, Q Meng, L Sun, B Du IEEE Transactions on Intelligent Transportation Systems 24 (5), 5516-5526, 2023 | 13 | 2023 |
| Deep multi-task learning with flexible and compact architecture search J Zhao, W Lv, B Du, J Ye, L Sun, G Xiong International Journal of Data Science and Analytics, 1-13, 2023 | 9 | 2023 |
| Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data X Tan, Y Wang, B Du, J Ye, W Chen, L Sun, L Li Structural Health Monitoring 21 (4), 1805-1818, 2022 | 9 | 2022 |
| Intelligent Monitoring System Based on Spatio–Temporal Data for Underground Space Infrastructure B Du, J Ye, H Zhu, L Sun, Y Du Engineering, 2022 | 5 | 2022 |
| MvTS-library: An open library for deep multivariate time series forecasting J Ye, W Li, Z Zhang, T Zhu, L Sun, B Du Knowledge-Based Systems 283, 111170, 2024 | 3 | 2024 |
| Prediction of tunnel mechanical behaviour using multi-task deep learning under the external condition B Du, T Zou, J Ye, X Tan, K Cheng, W Chen Georisk: Assessment and Management of Risk for Engineered Systems and …, 2024 | 3 | 2024 |
| DATCN: Deep Attention fused Temporal Convolution Network for the prediction of monitoring indicators in the tunnel J Ye, B Du, Z Zhang, X Tan, W Li, W Chen Smart Structures and Systems, An International Journal 30 (6), 601-612, 2022 | 2 | 2022 |
| Temporal Graph Network for continuous-time dynamic event sequence K Cheng, J Ye, X Lu, L Sun, B Du Knowledge-Based Systems, 112452, 2024 | | 2024 |
| Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction K Cheng, P Linzhi, J Ye, L Sun, B Du Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| DyGKT: Dynamic Graph Learning for Knowledge Tracing K Cheng, L Peng, P Wang, J Ye, L Sun, B Du Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| Repeat-Aware Neighbor Sampling for Dynamic Graph Learning T Zou, Y Mao, J Ye, B Du Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| Dynamic Graph Representation Learning for Passenger Behavior Prediction M Xie, T Zou, J Ye, B Du, R Huang Future Internet 16 (8), 295, 2024 | | 2024 |
| Learning Solid Dynamics with Graph Neural Network B Li, B Du, J Ye, J Huang, L Sun, J Feng Information Sciences, 120791, 2024 | | 2024 |
| ALSTNet: Autoencoder fused long‐and short‐term time‐series network for the prediction of tunnel structure B Du, H Liang, Y Wang, J Ye, X Tan, W Chen Deep Underground Science and Engineering, 2024 | | 2024 |
Bowen DuBeihang University在 buaa.edu.cn 的电子邮件经过验证
