| Deep learning for deepfakes creation and detection: A survey TT Nguyen, QVH Nguyen, CM Nguyen, DT Nguyen, DT Nguyen, ... arXiv preprint arXiv:1909.11573, 2019 | 530 | 2019 |
| Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation J Yu, H Yin, J Li, Q Wang, NQV Hung, X Zhang ACM The 2021 Web Conference, 2021 | 344 | 2021 |
| 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 | 329 | 2022 |
| Adapting to user interest drift for poi recommendation H Yin, X Zhou, B Cui, H Wang, K Zheng, QVH Nguyen IEEE Transactions on Knowledge and Data Engineering 28 (10), 2566-2581, 2016 | 273 | 2016 |
| An evaluation of aggregation techniques in crowdsourcing QVH Nguyen, T Nguyen Thanh, T Lam Ngoc, K Aberer Web Information Systems Engineering–WISE 2013, 1-15, 2013 | 265* | 2013 |
| 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 | 259 | 2020 |
| Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions TT Nguyen, QVH Nguyen, DT Nguyen, S Yang, PW Eklund, T Huynh-The, ... arXiv preprint arXiv:2008.07343, 2020 | 248 | 2020 |
| 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 | 248 | 2018 |
| 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 | 168 | 2019 |
| Discovering interpretable geo-social communities for user behavior prediction H Yin, Z Hu, X Zhou, H Wang, K Zheng, QVH Nguyen, S Sadiq 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 942-953, 2016 | 165 | 2016 |
| GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection LC Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Nguyen Hung, Zi Huang Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 162 | 2020 |
| Spatiotemporal representation learning for translation-based POI recommendation T Qian, B Liu, QVH Nguyen, H Yin ACM Transactions on Information Systems (TOIS) 37 (2), 1-24, 2019 | 145 | 2019 |
| Socially-Aware Self-Supervised Tri-Training for Recommendation J Yu, H Yin, M Gao, X Xia, X Zhang, NQV Hung 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021 | 144 | 2021 |
| An evaluation of model-based approaches to sensor data compression NQV Hung, H Jeung, K Aberer IEEE Transactions on Knowledge and Data Engineering 25 (11), 2434-2447, 2012 | 134 | 2012 |
| Minimizing efforts in validating crowd answers NQV Hung, DC Thang, M Weidlich, K Aberer Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 122 | 2015 |
| Streaming ranking based recommender systems W Wang, H Yin, Z Huang, Q Wang, X Du, QVH Nguyen The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 120 | 2018 |
| Joint event-partner recommendation in event-based social networks H Yin, L Zou, QVH Nguyen, Z Huang, X Zhou 2018 IEEE 34th International Conference on Data Engineering (ICDE), 929-940, 2018 | 119 | 2018 |
| Enhancing collaborative filtering with generative augmentation Q Wang, H Yin, H Wang, QVH Nguyen, Z Huang, L Cui Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 118 | 2019 |
| A survey of machine unlearning TT Nguyen, TT Huynh, PL Nguyen, AWC Liew, H Yin, QVH Nguyen arXiv preprint arXiv:2209.02299, 2022 | 115 | 2022 |
| SPTF: a scalable probabilistic tensor factorization model for semantic-aware behavior prediction H Yin, H Chen, X Sun, H Wang, Y Wang, QVH Nguyen 2017 IEEE International Conference on Data Mining (ICDM), 585-594, 2017 | 106 | 2017 |
