| Deep learning for spatio-temporal data mining: A survey S Wang, J Cao, SY Philip IEEE transactions on knowledge and data engineering 34 (8), 3681-3700, 2020 | 663 | 2020 |
| Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting H Peng, H Wang, B Du, MZA Bhuiyan, H Ma, J Liu, L Wang, Z Yang, L Du, ... Information Sciences 521, 277-290, 2020 | 310 | 2020 |
| Deep irregular convolutional residual LSTM for urban traffic passenger flows prediction B Du, H Peng, S Wang, MZA Bhuiyan, L Wang, Q Gong, L Liu, J Li IEEE Transactions on Intelligent Transportation Systems 21 (3), 972-985, 2019 | 264 | 2019 |
| Improving stock market prediction via heterogeneous information fusion X Zhang, Y Zhang, S Wang, Y Yao, B Fang, SY Philip Knowledge-Based Systems 143, 236-247, 2018 | 209 | 2018 |
| Hierarchical taxonomy-aware and attentional graph capsule RCNNs for large-scale multi-label text classification H Peng, J Li, S Wang, L Wang, Q Gong, R Yang, B Li, SY Philip, L He IEEE Transactions on Knowledge and Data Engineering 33 (6), 2505-2519, 2019 | 173 | 2019 |
| Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning H Peng, B Du, M Liu, M Liu, S Ji, S Wang, X Zhang, L He Information Sciences 578, 401-416, 2021 | 172 | 2021 |
| Deeply fusing reviews and contents for cold start users in cross-domain recommendation systems W Fu, Z Peng, S Wang, Y Xu, J Li Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 94-101, 2019 | 156 | 2019 |
| MMRate: Inferring multi-aspect diffusion networks with multi-pattern cascades S Wang, X Hu, PS Yu, Z Li Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 140 | 2014 |
| Trafficgan: Network-scale deep traffic prediction with generative adversarial nets Y Zhang, S Wang, B Chen, J Cao, Z Huang IEEE Transactions on Intelligent Transportation Systems 22 (1), 219-230, 2019 | 130 | 2019 |
| Event detection and popularity prediction in microblogging X Zhang, X Chen, Y Chen, S Wang, Z Li, J Xia Neurocomputing 149, 1469-1480, 2015 | 129 | 2015 |
| Deep collaborative filtering with multi-aspect information in heterogeneous networks C Shi, X Han, L Song, X Wang, S Wang, J Du, SY Philip IEEE transactions on knowledge and data engineering 33 (4), 1413-1425, 2019 | 123 | 2019 |
| Applying adaptive over-sampling technique based on data density and cost-sensitive SVM to imbalanced learning S Wang, Z Li, W Chao, Q Cao The 2012 international joint conference on neural networks (IJCNN), 1-8, 2012 | 113 | 2012 |
| Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. X Han, C Shi, S Wang, SY Philip, L Song IJCAI 18, 3393-3399, 2018 | 102 | 2018 |
| Adversarial learning for weakly-supervised social network alignment C Li, S Wang, Y Wang, P Yu, Y Liang, Y Liu, Z Li Proceedings of the AAAI conference on artificial intelligence 33 (01), 996-1003, 2019 | 100 | 2019 |
| Citywide traffic congestion estimation with social media S Wang, L He, L Stenneth, PS Yu, Z Li Proceedings of the 23rd SIGSPATIAL international conference on advances in …, 2015 | 94 | 2015 |
| Influence maximization across partially aligned heterogenous social networks Q Zhan, J Zhang, S Wang, PS Yu, J Xie Pacific-Asia conference on knowledge discovery and data mining, 58-69, 2015 | 93 | 2015 |
| Computing urban traffic congestions by incorporating sparse GPS probe data and social media data S Wang, X Zhang, J Cao, L He, L Stenneth, PS Yu, Z Li, Z Huang ACM Transactions on Information Systems (TOIS) 35 (4), 1-30, 2017 | 89 | 2017 |
| PPNE: property preserving network embedding C Li, S Wang, D Yang, Z Li, Y Yang, X Zhang, J Zhou Database Systems for Advanced Applications: 22nd International Conference …, 2017 | 81 | 2017 |
| SeqST-GAN: Seq2Seq generative adversarial nets for multi-step urban crowd flow prediction S Wang, J Cao, H Chen, H Peng, Z Huang ACM Transactions on Spatial Algorithms and Systems (TSAS) 6 (4), 1-24, 2020 | 78 | 2020 |
| Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network. Y Zhang, J Fu, D She, Y Zhang, S Wang, J Yang IJCAI, 4595-4601, 2018 | 77 | 2018 |
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago在 cs.uic.edu 的电子邮件经过验证
