| Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts Q Liu, S Wu, L Wang, T Tan AAAI Conference on Artificial Intelligence, 2016 | 793 | 2016 |
| A Dynamic Recurrent Model for Next Basket Recommendation F Yu, Q Liu, S Wu, L Wang, T Tan International ACM SIGIR conference on Research and Development in …, 2016 | 445 | 2016 |
| Graph Contrastive Learning with Adaptive Augmentation Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang ACM Web Conference, 2021 | 411 | 2021 |
| Deep Graph Contrastive Representation Learning Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang ICML Workshop on Graph Representation Learning and Beyond, 2020 | 360 | 2020 |
| A Convolutional Approach for Misinformation Identification F Yu, Q Liu, S Wu, L Wang, T Tan International Joint Conference on Artificial Intelligence, 2017 | 278 | 2017 |
| Context-aware Sequential Recommendation Q Liu, S Wu, D Wang, Z Li, L Wang IEEE International Conference on Data Mining, 2016 | 187 | 2016 |
| TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation F Yu, Y Zhu, Q Liu, S Wu, L Wang, T Tan International ACM SIGIR Conference on Research and Development in …, 2020 | 146 | 2020 |
| A Convolutional Click Prediction Model Q Liu, F Yu, S Wu, L Wang ACM International Conference on Information and Knowledge Management, 2015 | 127 | 2015 |
| DeepStyle: Learning User Preferences for Visual Recommendation Q Liu, S Wu, L Wang International ACM SIGIR Conference on Research and Development in …, 2017 | 115 | 2017 |
| MV-RNN: A Multi-view Recurrent Neural Network for Sequential Recommendation Q Cui, S Wu, Q Liu, W Zhong, L Wang IEEE Transactions on Knowledge and Data Engineering 32 (2), 317-331, 2020 | 110* | 2020 |
| A Survey on Graph Structure Learning: Progress and Opportunities Y Zhu, W Xu, J Zhang, Y Du, J Zhang, Q Liu, C Yang, S Wu arXiv preprint arXiv:2103.03036, 2021 | 100* | 2021 |
| STAN: Spatio-Temporal Attention Network for Next Location Recommendation Y Luo, Q Liu, Z Liu ACM Web Conference, 2021 | 99 | 2021 |
| Multi-behavioral Sequential Prediction with Recurrent Log-bilinear Model Q Liu, S Wu, L Wang IEEE Transactions on Knowledge and Data Engineering 29 (6), 1254-1267, 2017 | 78 | 2017 |
| An Empirical Study of Graph Contrastive Learning Y Zhu, Y Xu, Q Liu, S Wu Advances in Neural Information Processing Systems, 2021 | 65 | 2021 |
| Attention-based Convolutional Approach for Misinformation Identification from Massive and Noisy Microblog Posts F Yu, Q Liu, S Wu, L Wang, T Tan Computers & Security 83, 106-121, 2019 | 60 | 2019 |
| Dynamic Graph Neural Networks for Sequential Recommendation M Zhang, S Wu, X Yu, Q Liu, L Wang IEEE Transactions on Knowledge and Data Engineering 35 (5), 4741-4753, 2023 | 51 | 2023 |
| COT: Contextual Operating Tensor for Context-aware Recommender Systems Q Liu, S Wu, L Wang AAAI Conference on Artificial Intelligence, 2015 | 51 | 2015 |
| Contextual Operation for Recommender Systems S Wu, Q Liu, L Wang, T Tan IEEE Transactions on Knowledge and Data Engineering 28 (8), 2000-2012, 2016 | 36 | 2016 |
| Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach Q Liu, F Yu, S Wu, L Wang ACM Transactions on Intelligent Systems and Technology 9 (5), 1-20, 2018 | 31 | 2018 |
| Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-based Feature Extractor J Wang, Q Liu, Z Liu, S Wu ACM International Conference on Information and Knowledge Management, 2019 | 26 | 2019 |
Shu WuNational Laboratory of Pattern Recognition (NLPR), Institute of Automation, CASVerified email at nlpr.ia.ac.cn
