| 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 | 228 | 2016 |
| 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 | 111 | 2015 |
| 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 | 110 | 2017 |
| 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 | 76 | 2018 |
| 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 | 66 | 2016 |
| 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 | 60 | 2014 |
| 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 | 54 | 2017 |
| 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 | 46 | 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 | 46 | 2016 |
| 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 | 43 | 2017 |
| Action recognition by exploring data distribution and feature correlation S Wang, Y Yang, Z Ma, X Li, C Pang, AG Hauptmann 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1370-1377, 2012 | 43 | 2012 |
| 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 | 41 | 2018 |
| 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 | 41 | 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 | 37 | 2018 |
| Semi-supervised feature analysis for multimedia annotation by mining label correlation X Chang, H Shen, S Wang, J Liu, X Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 74-85, 2014 | 36 | 2014 |
| Human action recognition based on semi-supervised discriminant analysis with global constraint X Zhao, X Li, C Pang, S Wang Neurocomputing 105, 45-50, 2013 | 36 | 2013 |
| Graph-based clustering and ranking for diversified image search Y Yan, G Liu, S Wang, J Zhang, K Zheng Multimedia Systems 23 (1), 41-52, 2017 | 32 | 2017 |
| Structured streaming skeleton--a new feature for online human gesture recognition X Zhao, X Li, C Pang, QZ Sheng, S Wang, M Ye ACM Transactions on Multimedia Computing, Communications, and Applications …, 2014 | 32 | 2014 |
| 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 | 24 | 2019 |
| Multi-view correlated feature learning by uncovering shared component X Xue, F Nie, S Wang, X Chang, B Stantic, M Yao Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 23 | 2017 |
Lina YaoAssociate Professor of Computer Science, University of New South Wales (UNSW)Verified email at unsw.edu.au
