| Graph Contrastive Learning with Adaptive Augmentation Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang The Web Conference, 2021 | 1138 | 2021 |
| 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 | 1073 | 2016 |
| 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 | 969 | 2020 |
| 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 | 581 | 2016 |
| A Convolutional Approach for Misinformation Identification F Yu, Q Liu, S Wu, L Wang, T Tan International Joint Conference on Artificial Intelligence, 2017 | 485 | 2017 |
| GSLB: The Graph Structure Learning Benchmark Z Li, L Wang, X Sun, Y Luo, Y Zhu, D Chen, Y Luo, X Zhou, Q Liu, S Wu, ... Advances in Neural Information Processing Systems, 2023 | 303* | 2023 |
| STAN: Spatio-Temporal Attention Network for Next Location Recommendation Y Luo, Q Liu, Z Liu The Web Conference, 2021 | 295 | 2021 |
| 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 | 269 | 2020 |
| Context-aware Sequential Recommendation Q Liu, S Wu, D Wang, Z Li, L Wang IEEE International Conference on Data Mining, 2016 | 252 | 2016 |
| An Empirical Study of Graph Contrastive Learning Y Zhu, Y Xu, Q Liu, S Wu Advances in Neural Information Processing Systems, 2021 | 191 | 2021 |
| 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 | 183 | 2023 |
| 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 | 183* | 2020 |
| DeepStyle: Learning User Preferences for Visual Recommendation Q Liu, S Wu, L Wang International ACM SIGIR Conference on Research and Development in …, 2017 | 173 | 2017 |
| Mining Latent Structures for Multimedia Recommendation J Zhang, Y Zhu, Q Liu, S Wu, S Wang, L Wang ACM International Conference on Multimedia, 2021 | 171 | 2021 |
| A Convolutional Click Prediction Model Q Liu, F Yu, S Wu, L Wang ACM International Conference on Information and Knowledge Management, 2015 | 161 | 2015 |
| Evidence-aware Fake News Detection with Graph Neural Networks W Xu, J Wu, Q Liu, S Wu, L Wang The Web Conference, 2022 | 105 | 2022 |
| 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 | 103 | 2017 |
| A Survey on Deep Graph Generation: Methods and Application Y Zhu, Y Du, Y Wang, Y Xu, J Zhang, Q Liu, S Wu Learning on Graphs Conference, 2022 | 88 | 2022 |
| 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 | 80 | 2019 |
| Symbolic Genetic Algorithm for Discovering Open-form Partial Differential Equations (SGA-PDE) Y Chen, Y Luo, Q Liu, H Xu, D Zhang Physical Review Research 4 (2), 023174, 2022 | 65 | 2022 |
Shu WuProfessor, Institute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
