| 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 | 442 | 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 | 370 | 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 | 342 | 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 | 230 | 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 | 212 | 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 | 170 | 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 | 162 | 2018 |
| 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 | 122 | 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 | 119 | 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 | 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 | 93 | 2018 |
| 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 | 80 | 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 |
| 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 |
| 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 | 74 | 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 | 70 | 2019 |
| 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 | 63 | 2021 |
| 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 | 61 | 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 | 56 | 2016 |
Lina YaoResearch Manager at CSIRO Data61 & Professor at University of New South WalesVerified email at csiro.au