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
444 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
377 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
352 2019 Compound Rank- 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
234 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
216 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
191 2021 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
169 2018 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
127 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
121 2017 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
98 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
97 2018 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
83 2017 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 2017, 1-8, 2017
79 2017 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
79 2014 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
77 2018 Is visual context really helpful for knowledge graph? A representation learning perspective M Wang, S Wang, H Yang, Z Zhang, X Chen, G Qi
Proceedings of the 29th ACM International Conference on Multimedia, 2735-2743, 2021
75 2021 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
75 2016 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
74 2019 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
58 2019 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
57 2016 
Lina YaoScience Lead at CSIRO Data61 & Professor at University of New South Wales, AustraliaПотвърден имейл адрес: csiro.au