Theo dơi
Qiaoyu (Smach) Tan
Qiaoyu (Smach) Tan
Assistant Professor of Computer Science, New York University (Shanghai)
Email được xác minh tại nyu.edu - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
1582021
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
152*2023
Deep representation learning for social network analysis
Q Tan, N Liu, X Hu
Frontiers in big Data 2, 2, 2019
1442019
Incomplete multi-view weak-label learning.
Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang
Ijcai, 2703-2709, 2018
1242018
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
1112020
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
1022019
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
802019
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
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
582017
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
532023
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
432023
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
422023
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
402023
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
382017
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
372021
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
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
322023
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
312023
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