Obserwuj
Qiaoyu (Smach) Tan
Qiaoyu (Smach) Tan
Assistant Professor of Computer Science, New York University (Shanghai)
Zweryfikowany adres z nyu.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
1552021
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
140*2023
Deep representation learning for social network analysis
Q Tan, N Liu, X Hu
Frontiers in big Data 2, 2, 2019
1382019
Incomplete multi-view weak-label learning.
Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang
Ijcai, 2703-2709, 2018
1202018
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
1082020
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
1032019
Dynamic memory based attention network for sequential recommendation
Q Tan, J Zhang, N Liu, X Huang, H Yang, J Zhou, X Hu
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4384-4392, 2021
762021
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
762019
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
662021
Semi-supervised multi-label classification using incomplete label information
Q Tan, Y Yu, G Yu, J Wang
Neurocomputing 260, 192-202, 2017
572017
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
472023
Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs
Y Shi, H Ma, W Zhong, Q Tan, G Mai, X Li, T Liu, J Huang
2023 IEEE International Conference on Data Mining Workshops (ICDMW), 515-520, 2023
432023
Active ensemble learning for knowledge graph error detection
J Dong, Q Zhang, X Huang, Q Tan, D Zha, Z Zihao
Proceedings of the sixteenth ACM international conference on web search and …, 2023
422023
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
392017
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
362023
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
362018
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
352022
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
332021
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
292022
Weighted samples based semi-supervised classification
X Chen, G Yu, Q Tan, J Wang
Applied Soft Computing 79, 46-58, 2019
292019
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