Shen Wang
Cited by
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Attentional graph convolutional networks for knowledge concept recommendation in moocs in a heterogeneous view
J Gong, S Wang, J Wang, W Feng, H Peng, J Tang, PS Yu
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
Graph neural networks
L Wu, P Cui, J Pei, L Zhao, L Song
Graph neural networks: Foundations, frontiers, and applications, 27-37, 2022
Deep eye fixation map learning for calibration-free eye gaze tracking
K Wang, S Wang, Q Ji
Proceedings of the ninth biennial ACM symposium on eye tracking research …, 2016
Heterogeneous Graph Matching Networks for Unknown Malware Detection
PSY Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang ...
International Joint Conferences on Artificial Intelligence, 2019
Structural deep brain network mining
S Wang, L He, B Cao, CT Lu, PS Yu, AB Ragin
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Mixed-curvature multi-relational graph neural network for knowledge graph completion
S Wang, X Wei, CN Nogueira dos Santos, Z Wang, R Nallapati, A Arnold, ...
Proceedings of the Web Conference 2021, 1761-1771, 2021
Kernelized support tensor machines
L He, CT Lu, G Ma, S Wang, L Shen, SY Philip, AB Ragin
International Conference on Machine Learning, 1442-1451, 2017
Attentional heterogeneous graph neural network: Application to program reidentification
S Wang, Z Chen, D Li, Z Li, LA Tang, J Ni, J Rhee, H Chen, PS Yu
Proceedings of the 2019 SIAM International Conference on Data Mining, 693-701, 2019
Modeling sequences as distributions with uncertainty for sequential recommendation
Z Fan, Z Liu, S Wang, L Zheng, PS Yu
Proceedings of the 30th ACM International Conference on Information …, 2021
Adversarial defense framework for graph neural network
S Wang, Z Chen, J Ni, X Yu, Z Li, H Chen, PS Yu
arXiv preprint arXiv:1905.03679, 2019
Multi-way multi-level kernel modeling for neuroimaging classification
L He, CT Lu, H Ding, S Wang, L Shen, PS Yu, AB Ragin
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Knowledge enhanced pretrained language models: A compreshensive survey
X Wei, S Wang, D Zhang, P Bhatia, A Arnold
arXiv preprint arXiv:2110.08455, 2021
Marginalized denoising autoencoder via graph regularization for domain adaptation
Y Peng, S Wang, BL Lu
Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.
S Wang, X Wei, CN dos Santos, Z Wang, R Nallapati, AO Arnold, B Xiang, ...
EMNLP (1), 4952-4962, 2020
Entailment tree explanations via iterative retrieval-generation reasoner
D Ribeiro, S Wang, X Ma, R Dong, X Wei, H Zhu, X Chen, Z Huang, P Xu, ...
arXiv preprint arXiv:2205.09224, 2022
Structure preserving low-rank representation for semi-supervised face recognition
Y Peng, S Wang, S Wang, BL Lu
Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013
Deep Co-investment Network Learning for Financial Assets
Y Wang, C Zhang, S Wang, PS Yu, L Bai, L Cui
2018 IEEE International Conference on Big Knowledge (ICBK), 2018
Graph neural networks in anomaly detection
S Wang, PS Yu
Graph Neural Networks: Foundations, Frontiers, and Applications, 557-578, 2022
Knowledge graph representation via hierarchical hyperbolic neural graph embedding
S Wang, X Wei, CN Dos Santos, Z Wang, R Nallapati, A Arnold, SY Philip
2021 IEEE International Conference on Big Data (Big Data), 540-549, 2021
Anomaly detection with graph adversarial training in computer systems
Z Chen, J Gui, H Chen, J Rhee, S Wang
US Patent 11,606,389, 2023
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