Qiaoyu Tan
Citado por
Citado por
Is a single vector enough? exploring node polysemy for network embedding
N Liu, Q Tan, Y Li, H Yang, J Zhou, X Hu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Incomplete multi-view weak-label learning.
Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang
IJCAI, 2703-2709, 2018
Deep representation learning for social network analysis
Q Tan, N Liu, X Hu
Frontiers in big Data 2, 2, 2019
Semi-supervised multi-label classification using incomplete label information
Q Tan, Y Yu, G Yu, J Wang
Neurocomputing 260, 192-202, 2017
Multi-Label Classification Based on Low Rank Representation for Image Annotation
Q Tan, Y Liu, X Chen, G Yu
Remote Sensing 9 (2), 109, 2017
Learning to hash with graph neural networks for recommender systems
Q Tan, N Liu, X Zhao, H Yang, J Zhou, X Hu
Proceedings of The Web Conference 2020, 1988-1998, 2020
Multi-view weak-label learning based on matrix completion
Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang
Proceedings of the 2018 SIAM International Conference on Data Mining, 450-458, 2018
Individuality-and commonality-based multiview multilabel learning
Q Tan, G Yu, J Wang, C Domeniconi, X Zhang
IEEE transactions on cybernetics 51 (3), 1716-1727, 2019
Sparse-interest network for sequential recommendation
Q Tan, J Zhang, J Yao, N Liu, J Zhou, H Yang, X Hu
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
Weighted samples based semi-supervised classification
X Chen, G Yu, Q Tan, J Wang
Applied Soft Computing 79, 46-58, 2019
Semi-supervised multi-label dimensionality reduction based on dependence maximization
Y Yu, J Wang, Q Tan, L Jia, G Yu
IEEE access 5, 21927-21940, 2017
Dynamic memory based attention network for sequential recommendation
Q Tan, J Zhang, N Liu, X Huang, H Yang, J Zhou, X Hu
arXiv preprint arXiv:2102.09269, 2021
Temporal Augmented Graph Neural Networks for Session-Based Recommendations
H Zhou, Q Tan, X Huang, K Zhou, X Wang
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
Subtractive Aggregation for Attributed Network Anomaly Detection
S Zhou, Q Tan, Z Xu, X Huang, F Chung
Proceedings of the 30th ACM International Conference on Information …, 2021
Semi-supervised classification based on clustering adjusted similarity
X Chen, C Lu, Q Tan, G Yu
International Journal of Computers and Applications 39 (4), 210-219, 2017
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
Q Tan, N Liu, X Huang, R Chen, SH Choi, X Hu
arXiv preprint arXiv:2201.02534, 2022
Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning
S Zhou, X Huang, N Liu, Q Tan, FL Chung
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
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