Artikel dengan mandat akses publik - Qiaoyu (Smach) TanPelajari lebih lanjut
Tidak tersedia di mana pun: 3
Semi-supervised multi-label classification using incomplete label information
Q Tan, Y Yu, G Yu, J Wang
Neurocomputing 260, 192-202, 2017
Mandat: National Natural Science Foundation of China
Weighted samples based semi-supervised classification
X Chen, G Yu, Q Tan, J Wang
Applied soft computing 79, 46-58, 2019
Mandat: National Natural Science Foundation of China
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
Mandat: National Natural Science Foundation of China
Tersedia di suatu tempat: 24
S2gae: Self-supervised graph autoencoders are generalizable learners with graph masking
Q Tan, N Liu, X Huang, SH Choi, L Li, R Chen, X Hu
Proceedings of the sixteenth ACM international conference on web search and …, 2023
Mandat: US National Science Foundation
Deep representation learning for social network analysis
Q Tan, N Liu, X Hu
Frontiers in big Data 2, 2, 2019
Mandat: US National Science Foundation
Incomplete multi-view weak-label learning.
Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang
Ijcai, 2703-2709, 2018
Mandat: National Natural Science Foundation of China
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
Mandat: US National Science Foundation
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
Mandat: US National Science Foundation
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
Mandat: National Natural Science Foundation of China
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
Mandat: National Natural Science Foundation of China
Bring your own view: Graph neural networks for link prediction with personalized subgraph selection
Q Tan, X Zhang, N Liu, D Zha, L Li, R Chen, SH Choi, X Hu
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
Mandat: US National Science Foundation
Hierarchy-aware multi-hop question answering over knowledge graphs
J Dong, Q Zhang, X Huang, K Duan, Q Tan, Z Jiang
Proceedings of the ACM web conference 2023, 2519-2527, 2023
Mandat: Research Grants Council, Hong Kong
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
Mandat: National Natural Science Foundation of China
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
Mandat: National Natural Science Foundation of China
Dreamshard: Generalizable embedding table placement for recommender systems
D Zha, L Feng, Q Tan, Z Liu, KH Lai, B Bhushanam, Y Tian, A Kejariwal, ...
Advances in Neural Information Processing Systems 35, 15190-15203, 2022
Mandat: US National Science Foundation
Gigamae: Generalizable graph masked autoencoder via collaborative latent space reconstruction
Y Shi, Y Dong, Q Tan, J Li, N Liu
Proceedings of the 32nd ACM international conference on information and …, 2023
Mandat: US National Science Foundation
Opengsl: A comprehensive benchmark for graph structure learning
Z Zhou, S Zhou, B Mao, X Zhou, J Chen, Q Tan, D Zha, Y Feng, C Chen, ...
Advances in Neural Information Processing Systems 36, 17904-17928, 2023
Mandat: National Natural Science Foundation of China
Towards automated imbalanced learning with deep hierarchical reinforcement learning
D Zha, KH Lai, Q Tan, S Ding, N Zou, XB Hu
Proceedings of the 31st ACM International Conference on Information …, 2022
Mandat: US National Science Foundation
Reinforcement neighborhood selection for unsupervised graph anomaly detection
Y Bei, S Zhou, Q Tan, H Xu, H Chen, Z Li, J Bu
2023 IEEE International Conference on Data Mining (ICDM), 11-20, 2023
Mandat: National Natural Science Foundation of China
Integrating entity attributes for error-aware knowledge graph embedding
Q Zhang, J Dong, Q Tan, X Huang
IEEE Transactions on Knowledge and Data Engineering 36 (4), 1667-1682, 2023
Mandat: Research Grants Council, Hong Kong
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