| Deep Learning based Recommender System: A Survey and New Perspectives S Zhang, L Yao, A Sun, Y Tay ACM Computing Surveys (CSUR) 52 (1), 5, 2019 | 3818 | 2019 |
| Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting L Bai, L Yao, C Li, X Wang, C Wang NeurIPS 2020, 2020 | 1391 | 2020 |
| Adversarially Regularized Graph Autoencoder S Pan, R Hu, G Long, J Jiang, L Yao, C Zhang The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018 | 1110* | 2018 |
| Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities K Chen, D Zhang, L Yao, B Guo, Z Yu, Y Liu ACM Computing Surveys (CSUR) 54 (4), 1-40, 2021 | 807 | 2021 |
| Quaternion Knowledge Graph Embedding QL Shuai Zhang, Yi Tay, Lina Yao Advances in Neural Information Processing Systems (NeurIPS), pp. 2731-2741, 2019 | 630* | 2019 |
| A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers X Zhang, L Yao, X Wang, J Monaghan, D Mcalpine, Y Zhang Journal of neural engineering 18 (3), 031002, 2021 | 456* | 2021 |
| A semisupervised recurrent convolutional attention model for human activity recognition K Chen, L Yao, D Zhang, X Wang, X Chang, F Nie IEEE transactions on neural networks and learning systems 31 (5), 1747-1756, 2019 | 373 | 2019 |
| 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 | 350 | 2019 |
| STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting L Bai, L Yao, SS Kanhere, X Wang, QZ Sheng IJCAI-19, 2019 | 309 | 2019 |
| Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Co.... D Zhang, L Yao, X Zhang, R Boots AAAI-18, 2018 | 295* | 2018 |
| Next Item Recommendation with Self-Attentive Metric Learning S Zhang, Y Tay, L Yao, A Sun, J An AAAI workshop 2019 (RecNLP), 2019 | 277* | 2019 |
| Residual attention u-net for automated multi-class segmentation of covid-19 chest ct images X Chen, L Yao, Y Zhang ISMB/ECCB 2021, 2020 | 267* | 2020 |
| The future of false information detection on social media: New perspectives and trends B Guo, Y Ding, L Yao, Y Liang, Z Yu ACM Computing Surveys (CSUR) 53 (4), 1-36, 2020 | 245* | 2020 |
| Unified Collaborative and Content-Based Web Service Recommendation L Yao, QZ Sheng, AHH Ngu, J Yu, A Segev IEEE Transactions on Services Computing 8 (3), 453-466, 2015 | 245 | 2015 |
| Autosvd++ an efficient hybrid collaborative filtering model via contractive auto-encoders S Zhang, L Yao, X Xu Proceedings of the 40th International ACM SIGIR conference on Research and …, 2017 | 212 | 2017 |
| CloudArmor: Supporting reputation-based trust management for cloud services TH Noor, QZ Sheng, L Yao, S Dustdar, AHH Ngu IEEE transactions on parallel and distributed systems 27 (2), 367-380, 2015 | 204 | 2015 |
| Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images X Chen, L Yao, T Zhou, J Dong, Y Zhang Pattern recognition 113, 107826, 2021 | 197 | 2021 |
| DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns F Yuan, L Yao, B Benatallah IJCAI 2019, 2019 | 196 | 2019 |
| A convolutional recurrent attention model for subject-independent EEG signal analysis D Zhang, L Yao, K Chen, J Monaghan IEEE signal processing letters 26 (5), 715-719, 2019 | 195 | 2019 |
| MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation M Dong, F Yuan, L Yao, X Xu, L Zhu KDD 2020, 2020 | 190 | 2020 |
Quan Z. (Michael) ShengDistinguished Professor, School of Computing, Macquarie University, Sydney, Australiamq.edu.au의 이메일 확인됨