| Urban noise mapping with a crowd sensing system Y Xu, Y Zhu, Z Qin Wireless Networks 25 (5), 2351-2364, 2019 | 27 | 2019 |
| Learning shared vertex representation in heterogeneous graphs with convolutional networks for recommendation Y Xu, Y Zhu, Y Shen, J Yu Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 25 | 2019 |
| When remote sensing data meet ubiquitous urban data: Fine-grained air quality inference Y Xu, Y Zhu 2016 IEEE International Conference on Big Data (Big Data), 1252-1261, 2016 | 18 | 2016 |
| Jointly modeling spatio–temporal dependencies and daily flow correlations for crowd flow prediction T Zang, Y Zhu, Y Xu, J Yu ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (4), 1-20, 2021 | 17 | 2021 |
| Leveraging app usage contexts for app recommendation: a neural approach Y Xu, Y Zhu, Y Shen, J Yu World Wide Web, 1-25, 2018 | 17 | 2018 |
| Learning from multiple dynamic graphs of student and course interactions for student grade predictions X Lu, Y Zhu, Y Xu, J Yu Neurocomputing 431, 23-33, 2021 | 14 | 2021 |
| AR2Net: An Attentive Neural Approach for Business Location Selection with Satellite Data and Urban Data Y Xu, Y Shen, Y Zhu, J Yu ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (2), 1-28, 2020 | 14 | 2020 |
| Modeling long-term and short-term interests with parallel attentions for session-based recommendation J Zhu, Y Xu, Y Zhu Database Systems for Advanced Applications: 25th International Conference …, 2020 | 14 | 2020 |
| MPAN: Multi-parallel attention network for session-based recommendation T Zang, Y Zhu, J Zhu, Y Xu, H Liu Neurocomputing 471, 230-241, 2022 | 13 | 2022 |
| Jointly modeling heterogeneous student behaviors and interactions among multiple prediction tasks H Liu, Y Zhu, T Zang, Y Xu, J Yu, F Tang ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (1), 1-24, 2021 | 12 | 2021 |
| Fine-Grained Air Quality Inference with Remote Sensing Data and Ubiquitous Urban Data Y Xu, Y Zhu, Y Shen, J Yu ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (5), 46, 2019 | 12 | 2019 |
| Modeling multiple coexisting category-level intentions for next item recommendation Y Xu, Y Zhu, J Yu ACM Transactions on Information Systems (TOIS) 39 (3), 1-24, 2021 | 9 | 2021 |
| Learning shared representations for recommendation with dynamic heterogeneous graph convolutional networks M Jing, Y Zhu, Y Xu, H Liu, T Zang, C Wang, J Yu ACM Transactions on Knowledge Discovery from Data 17 (4), 1-23, 2023 | 5 | 2023 |
| Learning from heterogeneous student behaviors for multiple prediction tasks H Liu, Y Zhu, Y Xu Database Systems for Advanced Applications: 25th International Conference …, 2020 | 5 | 2020 |
| Modeling local and global flow aggregation for traffic flow forecasting Y Qu, Y Zhu, T Zang, Y Xu, J Yu Web Information Systems Engineering–WISE 2020: 21st International Conference …, 2020 | 3 | 2020 |
| Fusing Satellite Data and Urban Data for Business Location Selection: A Neural Approach Y Xu, Y Shen, Y Zhu, J Yu International Conference on Database Systems for Advanced Applications, 589-605, 2018 | 2 | 2018 |
| ALCNN: Attention-based Model for Fine-grained Demand Inference of Dock-less Shared Bike in New Cities C Liu, Y Xu, Y Zhu arXiv preprint arXiv:1909.11760, 2019 | 1 | 2019 |
