| 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 | 566 | 2022 |
| 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 | 522 | 2021 |
| 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 | 459 | 2013 |
| 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 | 456 | 2021 |
| 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 | 444 | 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 | 417 | 2018 |
| 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 | 398 | 2019 |
| Challenging the long tail recommendation H Yin, B Cui, J Li, J Yao, C Chen arXiv preprint arXiv:1205.6700, 2012 | 374 | 2012 |
| 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 | 336 | 2020 |
| Contrastive learning for representation degeneration problem in sequential recommendation R Qiu, Z Huang, H Yin, Z Wang Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 309 | 2022 |
| 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 | 301 | 2017 |
| 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 | 288 | 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 | 285 | 2016 |
| 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 | 280 | 2019 |
| 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 | 280 | 2018 |
| Self-supervised learning for recommender systems: A survey J Yu, H Yin, X Xia, T Chen, J Li, Z Huang IEEE Transactions on Knowledge and Data Engineering 36 (1), 335-355, 2023 | 279 | 2023 |
| A survey of machine unlearning TT Nguyen, TT Huynh, Z Ren, PL Nguyen, AWC Liew, H Yin, ... arXiv preprint arXiv:2209.02299, 2022 | 239 | 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 | 234 | 2019 |
| Socially-aware self-supervised tri-training for recommendation J Yu, H Yin, M Gao, X Xia, X Zhang, NQ Viet Hung Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 205 | 2021 |
| Gcn-based user representation learning for unifying robust recommendation and fraudster detection S Zhang, H Yin, T Chen, QVN Hung, Z Huang, L Cui Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 196 | 2020 |
Professor Zi (Helen) HuangUniversity of Queensland在 itee.uq.edu.au 的电子邮件经过验证
