Sen Wang
Cited by
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Learning graph-based poi embedding for location-based recommendation
M Xie, H Yin, H Wang, F Xu, W Chen, S Wang
Proceedings of the 25th ACM international on conference on information and …, 2016
Multimodal sentiment analysis with word-level fusion and reinforcement learning
M Chen, S Wang, PP Liang, T Baltrušaitis, A Zadeh, LP Morency
Proceedings of the 19th ACM international conference on multimodal …, 2017
Making sense of spatio-temporal preserving representations for EEG-based human intention recognition
D Zhang, L Yao, K Chen, S Wang, X Chang, Y Liu
IEEE transactions on cybernetics 50 (7), 3033-3044, 2019
Compound Rank- Projections for Bilinear Analysis
X Chang, F Nie, S Wang, Y Yang, X Zhou, C Zhang
IEEE transactions on neural networks and learning systems 27 (7), 1502-1513, 2015
Cascade and parallel convolutional recurrent neural networks on EEG-based intention recognition for brain computer interface
D Zhang, L Yao, X Zhang, S Wang, W Chen, R Boots, B Benatallah
Proceedings of the aaai conference on artificial intelligence 32 (1), 2018
Reinforced self-attention network: a hybrid of hard and soft attention for sequence modeling
T Shen, T Zhou, G Long, J Jiang, S Wang, C Zhang
arXiv preprint arXiv:1801.10296, 2018
SMR: medical knowledge graph embedding for safe medicine recommendation
F Gong, M Wang, H Wang, S Wang, M Liu
Big Data Research 23, 100174, 2021
Compressive representation for device-free activity recognition with passive RFID signal strength
L Yao, QZ Sheng, X Li, T Gu, M Tan, X Wang, S Wang, W Ruan
IEEE Transactions on Mobile Computing 17 (2), 293-306, 2017
Semantics disentangling for generalized zero-shot learning
Z Chen, Y Luo, R Qiu, S Wang, Z Huang, J Li, Z Zhang
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Diagnosis code assignment using sparsity-based disease correlation embedding
S Wang, X Chang, X Li, G Long, L Yao, QZ Sheng
IEEE Transactions on Knowledge and Data Engineering 28 (12), 3191-3202, 2016
EEG-based motion intention recognition via multi-task RNNs
W Chen, S Wang, X Zhang, L Yao, L Yue, B Qian, X Li
Proceedings of the 2018 SIAM International Conference on Data Mining, 279-287, 2018
Semi-supervised multiple feature analysis for action recognition
S Wang, Z Ma, Y Yang, X Li, C Pang, A Hauptmann
IEEE Transactions on Mutlimedia 16 (2), 289 - 298, 2014
EEG-based intention recognition from spatio-temporal representations via cascade and parallel convolutional recurrent neural networks
D Zhang, L Yao, X Zhang, S Wang, W Chen, R Boots
arXiv preprint arXiv:1708.06578, 1-8, 2017
Neurec: On nonlinear transformation for personalized ranking
S Zhang, L Yao, A Sun, S Wang, G Long, M Dong
arXiv preprint arXiv:1805.03002, 2018
Learning from less for better: semi-supervised activity recognition via shared structure discovery
L Yao, F Nie, QZ Sheng, T Gu, X Li, S Wang
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
Safe medicine recommendation via medical knowledge graph embedding
M Wang, M Liu, J Liu, S Wang, G Long, B Qian
arXiv preprint arXiv:1710.05980, 2017
A graph-based hierarchical attention model for movement intention detection from EEG signals
D Zhang, L Yao, K Chen, S Wang, PD Haghighi, C Sullivan
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (11 …, 2019
Learning multiple diagnosis codes for ICU patients with local disease correlation mining
S Wang, X Li, X Chang, L Yao, QZ Sheng, G Long
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-21, 2017
Multi-task support vector machines for feature selection with shared knowledge discovery
S Wang, X Chang, X Li, QZ Sheng, W Chen
Signal Processing 120, 746-753, 2016
Distributionally robust semi-supervised learning for people-centric sensing
K Chen, L Yao, D Zhang, X Chang, G Long, S Wang
Proceedings of the AAAI conference on Artificial Intelligence 33 (01), 3321-3328, 2019
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