| Graph contextualized self-attention network for session-based recommendation. C Xu, P Zhao, Y Liu, VS Sheng, J Xu, F Zhuang, J Fang, X Zhou IJCAI 19, 3940-3946, 2019 | 657 | 2019 |
| Where to go next: A spatio-temporal gated network for next poi recommendation P Zhao, A Luo, Y Liu, J Xu, Z Li, F Zhuang, VS Sheng, X Zhou IEEE Transactions on Knowledge and Data Engineering 34 (5), 2512-2524, 2020 | 504 | 2020 |
| Feature-level deeper self-attention network for sequential recommendation. T Zhang, P Zhao, Y Liu, VS Sheng, J Xu, D Wang, G Liu, X Zhou IJCAI, 4320-4326, 2019 | 326 | 2019 |
| Lc-rnn: A deep learning model for traffic speed prediction. Z Lv, J Xu, K Zheng, H Yin, P Zhao, X Zhou IJCAI 2018, 27, 2018 | 289 | 2018 |
| Recurrent convolutional neural network for sequential recommendation C Xu, P Zhao, Y Liu, J Xu, VSS S. Sheng, Z Cui, X Zhou, H Xiong The world wide web conference, 3398-3404, 2019 | 154 | 2019 |
| Interactive top-k spatial keyword queries K Zheng, H Su, B Zheng, S Shang, J Xu, J Liu, X Zhou 2015 IEEE 31st international conference on data engineering, 423-434, 2015 | 118 | 2015 |
| Collaborative Self-Attention Network for Session-based Recommendation. A Luo, P Zhao, Y Liu, F Zhuang, D Wang, J Xu, J Fang, VS Sheng IJCAI, 2591-2597, 2020 | 110 | 2020 |
| TrajVAE: A Variational AutoEncoder model for trajectory generation X Chen, J Xu, R Zhou, W Chen, J Fang, C Liu Neurocomputing 428, 332-339, 2021 | 83 | 2021 |
| Sharkdb: An in-memory column-oriented trajectory storage H Wang, K Zheng, J Xu, B Zheng, X Zhou, S Sadiq Proceedings of the 23rd ACM international conference on conference on …, 2014 | 79 | 2014 |
| On prediction of user destination by sub-trajectory understanding: A deep learning based approach J Zhao, J Xu, R Zhou, P Zhao, C Liu, F Zhu Proceedings of the 27th ACM International Conference on Information and …, 2018 | 75 | 2018 |
| Effective map-matching on the most simplified road network K Liu, Y Li, F He, J Xu, Z Ding Proceedings of the 20th International Conference on Advances in Geographic …, 2012 | 72 | 2012 |
| Where to go next: A spatio-temporal LSTM model for next POI recommendation P Zhao, H Zhu, Y Liu, Z Li, J Xu, VS Sheng arXiv preprint arXiv:1806.06671, 2018 | 71 | 2018 |
| Profit-driven Task Assignment in Spatial Crowdsourcing. J Xia, Y Zhao, G Liu, J Xu, M Zhang, K Zheng IJCAI, 1914-1920, 2019 | 59 | 2019 |
| Efficient exact algorithms for maximum balanced biclique search in bipartite graphs L Chen, C Liu, R Zhou, J Xu, J Li Proceedings of the 2021 International Conference on Management of Data, 248-260, 2021 | 57 | 2021 |
| Resource allocation vs. business process improvement: How they impact on each other J Xu, C Liu, X Zhao International Conference on Business Process Management, 228-243, 2008 | 56 | 2008 |
| Semantic-aware top-k spatial keyword queries Z Qian, J Xu, K Zheng, P Zhao, X Zhou World Wide Web 21, 573-594, 2018 | 55 | 2018 |
| Exploiting aesthetic preference in deep cross networks for cross-domain recommendation J Liu, P Zhao, F Zhuang, Y Liu, VS Sheng, J Xu, X Zhou, H Xiong Proceedings of The Web Conference 2020, 2768-2774, 2020 | 53 | 2020 |
| Trajectory big data: data, applications and techniques JJ Xu, K Zheng, MM Chi, YY Zhu, XH Yu, XF Zhou Tongxin Xuebao 36 (12), 2015 | 50 | 2015 |
| Predicting destinations by a deep learning based approach J Xu, J Zhao, R Zhou, C Liu, P Zhao, L Zhao IEEE Transactions on Knowledge and Data Engineering 33 (2), 651-666, 2019 | 49 | 2019 |
| Efficient maximal biclique enumeration for large sparse bipartite graphs L Chen, C Liu, R Zhou, J Xu, J Li Proceedings of the VLDB Endowment 15 (8), 1559-1571, 2022 | 45 | 2022 |
