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Shu Wu
Shu Wu
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, CAS
Verified email at nlpr.ia.ac.cn - Homepage
Title
Cited by
Cited by
Year
Session-based recommendation with graph neural networks
S Wu, Y Tang, Y Zhu, L Wang, X Xie, T Tan
Proceedings of the AAAI conference on artificial intelligence 33 (01), 346-353, 2019
16002019
Predicting the next location: A recurrent model with spatial and temporal contexts
Q Liu, S Wu, L Wang, T Tan
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
9992016
Graph contrastive learning with adaptive augmentation
Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang
Proceedings of the web conference 2021, 2069-2080, 2021
9432021
Deep graph contrastive representation learning
Y Zhu, Y Xu, F Yu, Q Liu, S Wu, L Wang
ICML 2020 Workshop on Graph Representation Learning and Beyond, 2020
7852020
A dynamic recurrent model for next basket recommendation
F Yu, Q Liu, S Wu, L Wang, T Tan
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
5492016
A Convolutional Approach for Misinformation Identification.
F Yu, Q Liu, S Wu, L Wang, T Tan
IJCAI, 3901-3907, 2017
4342017
A comprehensive survey on cross-modal retrieval
K Wang, Q Yin, W Wang, S Wu, L Wang
arXiv preprint arXiv:1607.06215, 2016
3522016
Every document owns its structure: Inductive text classification via graph neural networks
Y Zhang, X Yu, Z Cui, S Wu, Z Wen, L Wang
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
2962020
Context-aware sequential recommendation
Q Liu, S Wu, D Wang, Z Li, L Wang
2016 IEEE 16th International Conference on Data Mining (ICDM), 1053-1058, 2016
2352016
TAGNN: Target attentive graph neural networks for session-based recommendation
F Yu, Y Zhu, Q Liu, S Wu, L Wang, T Tan
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
2342020
Fi-gnn: Modeling feature interactions via graph neural networks for ctr prediction
Z Li, Z Cui, S Wu, X Zhang, L Wang
Proceedings of the 28th ACM international conference on information and …, 2019
2102019
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
206*2021
Information-theoretic outlier detection for large-scale categorical data
S Wu, S Wang
IEEE transactions on knowledge and data engineering 25 (3), 589-602, 2011
1792011
Hierarchical graph convolutional networks for semi-supervised node classification
F Hu, Y Zhu, S Wu, L Wang, T Tan
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
1762019
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, 2018
164*2018
Deepstyle: Learning user preferences for visual recommendation
Q Liu, S Wu, L Wang
Proceedings of the 40th international acm sigir conference on research and …, 2017
1552017
A convolutional click prediction model
Q Liu, F Yu, S Wu, L Wang
Proceedings of the 24th ACM international on conference on information and …, 2015
1552015
An Empirical Study of Graph Contrastive Learning
Y Zhu, Y Xu, Q Liu, S Wu
Proceedings of the Neural Information Processing Systems (NeurIPS 2021 …, 2021
1492021
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, 2022
1402022
Personalized graph neural networks with attention mechanism for session-aware recommendation
M Zhang, S Wu, M Gao, X Jiang, K Xu, L Wang
IEEE Transactions on Knowledge and Data Engineering 34 (8), 3946-3957, 2020
140*2020
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