| 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 | 437 | 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 | 421 | 2016 |
| Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection T Chen, X Li, H Yin, J Zhang Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2018 …, 2018 | 338 | 2018 |
| Challenging the long tail recommendation H Yin, B Cui, J Li, J Yao, C Chen arXiv preprint arXiv:1205.6700, 2012 | 323 | 2012 |
| Self-supervised hypergraph convolutional networks for session-based recommendation X Xia, H Yin, J Yu, Q Wang, L Cui, X Zhang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4503-4511, 2021 | 319 | 2021 |
| 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 | 296 | 2019 |
| 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 | 277 | 2017 |
| 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 | 276 | 2016 |
| Self-supervised multi-channel hypergraph convolutional network for social recommendation J Yu, H Yin, J Li, Q Wang, NQV Hung, X Zhang Proceedings of the web conference 2021, 413-424, 2021 | 259 | 2021 |
| 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 | 241 | 2018 |
| 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 | 225 | 2020 |
| 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 | 219 | 2018 |
| Origin-destination matrix prediction via graph convolution: a new perspective of passenger demand modeling Y Wang, H Yin, H Chen, T Wo, J Xu, K Zheng Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 212 | 2019 |
| Are graph augmentations necessary? simple graph contrastive learning for recommendation J Yu, H Yin, X Xia, T Chen, L Cui, QVH Nguyen Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 208 | 2022 |
| 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 | 182 | 2019 |
| 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 | 176 | 2016 |
| Dynamic User Modeling in Social Media Systems H Yin, B Cui, L Chen, Z Hu, X Zhou ACM Transaction on Information Systems (TOIS), 2015 | 173 | 2015 |
| 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 | 173 | 2014 |
| 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 | 168 | 2016 |
| Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation W Wang, H Yin, L Chen, Y Sun, S Sadiq, X Zhou Proceedings of the 21th ACM SIGKDD international conference on Knowledge …, 2015 | 167* | 2015 |
Xiaofang ZhouHong Kong University of Science and TechnologyVerified email at cse.ust.hk
