| Deep spatio-temporal graph convolutional network for traffic accident prediction L Yu, B Du, X Hu, L Sun, L Han, W Lv Neurocomputing 423, 135-147, 2021 | 139 | 2021 |
| Adaptive spatio-temporal graph neural network for traffic forecasting X Ta, Z Liu, X Hu, L Yu, L Sun, B Du Knowledge-based systems 242, 108199, 2022 | 64 | 2022 |
| Heterogeneous graph representation learning with relation awareness L Yu, L Sun, B Du, C Liu, W Lv, H Xiong IEEE Transactions on Knowledge and Data Engineering, 2022 | 42 | 2022 |
| Predicting temporal sets with deep neural networks L Yu, L Sun, B Du, C Liu, H Xiong, W Lv Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 38 | 2020 |
| Modelling the epidemic dynamics of COVID-19 with consideration of human mobility B Du, Z Zhao, J Zhao, L Yu, L Sun, W Lv International Journal of Data Science and Analytics 12 (4), 369-382, 2021 | 22 | 2021 |
| Language models are super mario: Absorbing abilities from homologous models as a free lunch L Yu, B Yu, H Yu, F Huang, Y Li arXiv preprint arXiv:2311.03099, 2023 | 19 | 2023 |
| Towards Better Dynamic Graph Learning: New Architecture and Unified Library L Yu, L Sun, B Du, W Lv Advances in Neural Information Processing Systems, 2023 | 18 | 2023 |
| Hybrid micro/macro level convolution for heterogeneous graph learning L Yu, L Sun, B Du, C Liu, W Lv, H Xiong arXiv preprint arXiv:2012.14722, 2020 | 15 | 2020 |
| Label-enhanced graph neural network for semi-supervised node classification L Yu, L Sun, B Du, T Zhu, W Lv IEEE Transactions on Knowledge and Data Engineering, 2022 | 11 | 2022 |
| Element-guided temporal graph representation learning for temporal sets prediction L Yu, G Wu, L Sun, B Du, W Lv Proceedings of the ACM Web Conference 2022, 1902-1913, 2022 | 9 | 2022 |
| Deep heterogeneous network for temporal set prediction N Shi, L Yu, L Sun, L Wang, C Lin, R Zhang Knowledge-Based Systems 223, 107039, 2021 | 7 | 2021 |
| Continuous-time user preference modelling for temporal sets prediction L Yu, Z Liu, L Sun, B Du, C Liu, W Lv IEEE Transactions on Knowledge and Data Engineering, 2023 | 3* | 2023 |
| Predicting temporal sets with simplified fully connected networks L Yu, Z Liu, T Zhu, L Sun, B Du, W Lv Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4835-4844, 2023 | 3 | 2023 |
| Traffic Accident Prediction Based on Deep Spatio-Temporal Analysis L Yu, B Du, X Hu, L Sun, W Lv, R Huang 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 3 | 2019 |
| Pretraining Language Models with Text-Attributed Heterogeneous Graphs T Zou, L Yu, Y Huang, L Sun, B Du Findings of Empirical Methods in Natural Language Processing, 2023 | 2 | 2023 |
| Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction T Zou, L Yu, L Sun, B Du, D Wang, F Zhuang IEEE Transactions on Knowledge and Data Engineering, 2023 | 2 | 2023 |
| A Simple Framework for Multi-mode Spatial-Temporal Data Modeling Z Liu, L Yu, T Zhu, L Sun arXiv preprint arXiv:2308.11204, 2023 | | 2023 |
| Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification T Zou, L Yu, L Sun, B Du, D Wang, F Zhuang arXiv preprint arXiv:2308.05385, 2023 | | 2023 |
| An Empirical Evaluation of Temporal Graph Benchmark L Yu arXiv preprint arXiv:2307.12510, 2023 | | 2023 |
| Continuous-Time Graph Learning for Cascade Popularity Prediction X Lu, S Ji, L Yu, L Sun, B Du, T Zhu International Joint Conferences on Artificial Intelligence, 2023 | | 2023 |
Leilei SunBeihang UniversityVerified email at buaa.edu.cn
