| Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation J Yu, H Yin, X Xia, T Chen, L Cui, NQV Hung SIGIR 2022, 2022 | 636 | 2022 |
| 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 | 432 | 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 | 366 | 2020 |
| 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 | 320 | 2023 |
| GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection S Zhang, H Yin, T Chen, QVN Hung, Z Huang, L Cui The 43rd International ACM SIGIR Conference on Research and Development in …, 2020 | 205 | 2020 |
| XSimGCL: Towards extremely simple graph contrastive learning for recommendation J Yu, X Xia, T Chen, L Cui, NQV Hung, H Yin IEEE Transactions on Knowledge and Data Engineering 36 (2), 913-926, 2023 | 195 | 2023 |
| Streaming session-based recommendation L Guo, H Yin, Q Wang, T Chen, A Zhou, N Quoc Viet Hung Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 192 | 2019 |
| Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction H Chen, H Yin, X Sun, T Chen, B Gabrys, K Musial The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2020 | 158 | 2020 |
| Fast-adapting and privacy-preserving federated recommender system Q Wang, H Yin, T Chen, J Yu, A Zhou, X Zhang The VLDB Journal 31 (5), 877-896, 2022 | 135 | 2022 |
| GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation R Qiu, H Yin, Z Huang, T Chen The 43rd International ACM SIGIR Conference on Research and Development in …, 2020 | 126 | 2020 |
| Next point-of-interest recommendation on resource-constrained mobile devices Q Wang, H Yin, T Chen, Z Huang, H Wang, Y Zhao, NQ Viet Hung Proceedings of the Web conference 2020, 906-916, 2020 | 119 | 2020 |
| DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation L Guo, L Tang, T Chen, L Zhu, QVH Nguyen, H Yin IJCAI 2021, 2021 | 118 | 2021 |
| Try This Instead: Personalized and Interpretable Substitute Recommendation T Chen, H Yin, G Ye, Z Huang, Y Wang, M Wang The 43rd International ACM SIGIR Conference on Research and Development in …, 2020 | 116 | 2020 |
| Air: Attentional intention-aware recommender systems T Chen, H Yin, H Chen, R Yan, QVH Nguyen, X Li 2019 IEEE 35th International Conference on Data Engineering (ICDE), 304-315, 2019 | 114 | 2019 |
| Lightweight Self-Attentive Sequential Recommendation Y Li, T Chen, PF Zhang, H Yin CIKM 2021, 2021 | 106 | 2021 |
| Graph Embedding for Recommendation against Attribute Inference Attacks S Zhang, H Yin, T Chen, Z Huang, L Cui, X Zhang The Web Conference, 2021 | 100 | 2021 |
| PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion S Zhang, H Yin, T Chen, Z Huang, QVH Nguyen, L Cui WSDM 2022, 2022 | 99 | 2022 |
| Disease Prediction via Graph Neural Networks Z Sun, H Yin, H Chen, T Chen, L Cui, F Yang IEEE Journal of Biomedical and Health Informatics (JBHI), 2020 | 97 | 2020 |
| Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation Y Li, T Chen, Y Luo, H Yin, Z Huang IJCAI 2021, 2021 | 95 | 2021 |
| Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation L Guo, H Yin, T Chen, X Zhang, K Zheng ACM Transactions on Information Systems (TOIS), 2021 | 95 | 2021 |
Hongzhi YinProfessor and ARC Future Fellow, University of QueenslandVerified email at uq.edu.au
