| Citymomentum: an online approach for crowd behavior prediction at a citywide level Z Fan, X Song, R Shibasaki, R Adachi Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015 | 165 | 2015 |
| Battery electric vehicles in Japan: Human mobile behavior based adoption potential analysis and policy target response H Zhang, X Song, T Xia, M Yuan, Z Fan, R Shibasaki, Y Liang Applied Energy 220, 527-535, 2018 | 136 | 2018 |
| CitySpectrum: A non-negative tensor factorization approach Z Fan, X Song, R Shibasaki Proceedings of the 2014 ACM international joint conference on pervasive and …, 2014 | 133 | 2014 |
| A variational autoencoder based generative model of urban human mobility D Huang, X Song, Z Fan, R Jiang, R Shibasaki, Y Zhang, H Wang, Y Kato 2019 IEEE conference on multimedia information processing and retrieval …, 2019 | 84 | 2019 |
| Deepurbanmomentum: An online deep-learning system for short-term urban mobility prediction R Jiang, X Song, Z Fan, T Xia, Q Chen, S Miyazawa, R Shibasaki Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 83 | 2018 |
| DeepCrowd: A deep model for large-scale citywide crowd density and flow prediction R Jiang, Z Cai, Z Wang, C Yang, Z Fan, Q Chen, K Tsubouchi, X Song, ... IEEE Transactions on Knowledge and Data Engineering 35 (1), 276-290, 2021 | 82 | 2021 |
| Online deep ensemble learning for predicting citywide human mobility Z Fan, X Song, T Xia, R Jiang, R Shibasaki, R Sakuramachi Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 57 | 2018 |
| Deep ROI-based modeling for urban human mobility prediction R Jiang, X Song, Z Fan, T Xia, Q Chen, Q Chen, R Shibasaki Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 52 | 2018 |
| Transfer urban human mobility via poi embedding over multiple cities R Jiang, X Song, Z Fan, T Xia, Z Wang, Q Chen, Z Cai, R Shibasaki ACM Transactions on Data Science 2 (1), 1-26, 2021 | 50 | 2021 |
| EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control C Yang, Z Zhang, Z Fan, R Jiang, Q Chen, X Song, R Shibasaki IEEE Transactions on Visualization and Computer Graphics, 2022 | 43 | 2022 |
| Decentralized attention-based personalized human mobility prediction Z Fan, X Song, R Jiang, Q Chen, R Shibasaki Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 39 | 2019 |
| Domain adversarial graph convolutional network based on rssi and crowdsensing for indoor localization M Zhang, Z Fan, R Shibasaki, X Song IEEE Internet of Things Journal 10 (15), 13662-13672, 2023 | 28 | 2023 |
| CityCoupling: bridging intercity human mobility Z Fan, X Song, R Shibasaki, T Li, H Kaneda Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016 | 28 | 2016 |
| Multimodal interaction-aware trajectory prediction in crowded space X Shi, X Shao, Z Fan, R Jiang, H Zhang, Z Guo, G Wu, W Yuan, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11982 …, 2020 | 27 | 2020 |
| The pulse of urban transport: Exploring the co-evolving pattern for spatio-temporal forecasting J Deng, X Chen, Z Fan, R Jiang, X Song, IW Tsang ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (6), 1-25, 2021 | 26 | 2021 |
| Countrywide origin-destination matrix prediction and its application for covid-19 R Jiang, Z Wang, Z Cai, C Yang, Z Fan, T Xia, G Matsubara, H Mizuseki, ... Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 26 | 2021 |
| A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records. Z Fan, A Arai, X Song, A Witayangkurn, H Kanasugi, R Shibasaki IJCAI, 2500-2506, 2016 | 26 | 2016 |
| Spatio-temporal-categorical graph neural networks for fine-grained multi-incident co-prediction Z Wang, R Jiang, Z Cai, Z Fan, X Liu, KS Kim, X Song, R Shibasaki Proceedings of the 30th ACM international conference on information …, 2021 | 24 | 2021 |
| A context-aware nonnegative matrix factorization framework for traffic accident risk estimation via heterogeneous data Q Chen, X Song, Z Fan, T Xia, H Yamada, R Shibasaki 2018 IEEE conference on multimedia information processing and retrieval …, 2018 | 24 | 2018 |
| Comparative perspective of human behavior patterns to uncover ownership bias among mobile phone users A Arai, Z Fan, D Matekenya, R Shibasaki ISPRS International Journal of Geo-Information 5 (6), 85, 2016 | 24 | 2016 |
Xuan SongDean and Professor, School of Artificial Intelligence, Jilin University; SUSTechGeverifieerd e-mailadres voor jlu.edu.cn