| Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting S Guo, Y Lin, N Feng, C Song, H Wan AAAI 2019, 922-929, 2019 | 2243 | 2019 |
| Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting C Song, Y Lin, S Guo, H Wan AAAI 2020, 914-921, 2020 | 1059 | 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 & Data Engineering (TKDE) 34 (11), 5415-5428, 2022 | 389 | 2022 |
| 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 (TITS) 20 (10), 3913 …, 2019 | 384 | 2019 |
| Balanced multi-label propagation for overlapping community detection in social networks Z Wu, Y Lin, S Gregory, H Wan, S Tian Journal of Computer Science and Technology (JCST) 27 (3), 468-479, 2012 | 169 | 2012 |
| 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 AAAI 2021, 4241-4248, 2021 | 90 | 2021 |
| CTS-LSTM: LSTM-based Neural Networks for Correlated Time Series Prediction H Wan, S Guo, K Yin, X Liang, Y Lin Knowledge-Based Systems (KBS) 191, 105239, 2020 | 89 | 2020 |
| Spatio-temporal recurrent convolutional networks for citywide short-term crowd flows prediction W Jin, Y Lin, Z Wu, H Wan ICCDA 2018, 28-35, 2018 | 88 | 2018 |
| AMiner: Search and Mining of Academic Social Networks H Wan, Y Zhang, J Zhang, J Tang Data Intelligence (DI) 1 (1), 58-76, 2019 | 77 | 2019 |
| GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting B Wang, Y Lin, S Guo, H Wan AAAI 2021, 4402-4409, 2021 | 72 | 2021 |
| Multi-component spatial-temporal graph convolution networks for traffic flow forecasting N Feng, S Guo, C Song, Q Zhu, H Wan Journal of Software 30 (3), 759-769, 2019 | 59 | 2019 |
| Improving Relation Classification by Entity Pair Graph Y Zhao, H Wan, J Gao, Y Lin ACML 2019, 1156-1171, 2019 | 43 | 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 | 43 | 2012 |
| DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models H Wen, Y Lin, Y Xia, H Wan, R Zimmermann, Y Liang SIGSPATIAL 2023, 2023 | 42 | 2023 |
| Predicting top-L missing links with node and link clustering information in large-scale networks Z Wu, Y Lin, H Wan, W Jamil Journal of Statistical Mechanics: Theory and Experiment 2016 (8), 083202, 2016 | 42 | 2016 |
| Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks H Wan, MF Moens, W Luyten, X Zhou, Q Mei, L Liu, J Tang Journal of the American Medical Informatics Association (JAMIA) 23 (2), 356-365, 2016 | 36 | 2016 |
| Building and Exploiting Spatial-Temporal Knowledge Graph for Next POI Recommendation W Chen, H Wan, S Guo, H Huang, S Zheng, J Li, S Lin, Y Lin Knowledge-Based Systems (KBS) 258, 109951, 2022 | 32 | 2022 |
| High-Value Prioritized Experience Replay for Off-Policy Reinforcement Learning X Cao, H Wan, Y Lin, S Han ICTAI 2019, 1510-1514, 2019 | 32 | 2019 |
| 面向交通流量预测的多组件时空图卷积网络 冯宁， 郭晟楠， 宋超， 朱琪超， 万怀宇 软件学报 30 (3), 759-769, 2019 | 30 | 2019 |
| Package Pick-up Route Prediction via Modeling Couriers’ Spatial-Temporal Behaviors H Wen, Y Lin, F Wu, H Wan, S Guo, L Wu, C Song, Y Xu ICDE 2021, 2141-2146, 2021 | 29 | 2021 |
Youfang Lin（林友芳）Beijing Jiaotong UniversityVerified email at bjtu.edu.cn
![Zhihao Wu [武志昊]](https://scholar.googleusercontent.com/citations?view_op=small_photo&user=yETXy34AAAAJ&citpid=4)
