| Lcars: a location-content-aware recommender system H Yin, Y Sun, B Cui, Z Hu, L Chen Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 407 | 2013 |
| Learning Graph-based POI Embedding for Location-based Recommendation M Xie, H Yin*, F Xu, H Wang, W Chen, S Wang The 25th ACM International Conference on Information and Knowledge …, 2016 | 341 | 2016 |
| Challenging the long tail recommendation H Yin, B Cui, J Li, J Yao, C Chen arXiv preprint arXiv:1205.6700, 2012 | 266 | 2012 |
| Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection T Chen, X Li, H Yin, J Zhang Pacific-Asia conference on knowledge discovery and data mining, 40-52, 2018 | 241 | 2018 |
| Adapting to User Interest Drift for POI Recommendation H Yin, X Zhou, B Cui, H Wang, K Zheng, QVH Nguyen IEEE Transaction on Knowledge and Data Engineering (TKDE), 2016 | 240 | 2016 |
| Spatial-aware hierarchical collaborative deep learning for POI recommendation H Yin, W Wang, H Wang, L Chen, X Zhou IEEE Transactions on Knowledge and Data Engineering 29 (11), 2537-2551, 2017 | 223 | 2017 |
| PME: projected metric embedding on heterogeneous networks for link prediction H Chen, H Yin, W Wang, H Wang, QVH Nguyen, X Li Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 170 | 2018 |
| A Temporal Context-Aware Model for User Behavior Modeling in Social Media Systems H Yin, B Cui, L Chen, Z Hu, Z Huang the 2014 ACM SIGMOD international conference on Management of data, 1543-1554, 2014 | 163 | 2014 |
| Dynamic User Modeling in Social Media Systems H Yin, B Cui, L Chen, Z Hu, X Zhou ACM Transaction on Information Systems (TOIS), 2015 | 162 | 2015 |
| LCARS: A Spatial Item Recommender System H Yin, B Cui, Y Sun, Z Hu, L Chen ACM Transactions on Information Systems (TOIS) 3 (32), Article No. 11, 2014 | 161 | 2014 |
| Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation H Yin, B Cui, X Zhou, W Wang, Z Huang, S Sadiq ACM Transaction on Information System (TOIS), 2016 | 159 | 2016 |
| Modeling Location-based User Rating Profiles for Personalized Recommendation H Yin, B Cui, L Chen, Z Hu, C Zhang Transactions on Knowledge Discovery from Data (TKDD), 2015 | 155 | 2015 |
| Lc-rnn: A deep learning model for traffic speed prediction. Z Lv, J Xu, K Zheng, H Yin, P Zhao, X Zhou IJCAI 2018, 27th, 2018 | 148 | 2018 |
| Discovering Interpretable Geo-Social Communities for User Behavior Prediction H Yin, Z Hu, X Zhou, H Wang, K Zheng, S Sadiq The 32nd IEEE International Conference on Data Engineering (ICDE'16), 2016 | 147 | 2016 |
| Rethinking the item order in session-based recommendation with graph neural networks R Qiu, J Li, Z Huang, H Yin Proceedings of the 28th ACM international conference on information and …, 2019 | 143 | 2019 |
| Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation H Yin, X Zhou, Y Shao, H Wang, S Sadiq The 24th ACM International Conference on Information and Knowledge …, 2015 | 125 | 2015 |
| Neural memory streaming recommender networks with adversarial training Q Wang, H Yin, Z Hu, D Lian, H Wang, Z Huang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 124 | 2018 |
| Social influence-based group representation learning for group recommendation H Yin, Q Wang, K Zheng, Z Li, J Yang, X Zhou 2019 IEEE 35th International Conference on Data Engineering (ICDE), 566-577, 2019 | 111 | 2019 |
| SPORE: A Sequential Personalized Spatial Item Recommender System W Wang, H Yin, S Sadiq, L Chen, M Xie, H Yin The 32nd IEEE International Conference on Data Engineering (ICDE'16), 2016 | 107 | 2016 |
| Where to go next: Modeling long-and short-term user preferences for point-of-interest recommendation K Sun, T Qian, T Chen, Y Liang, QVH Nguyen, H Yin Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 214-221, 2020 | 104 | 2020 |
