| 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 | 577 | 2019 |
| 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 | 142* | 2018 |
| 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 | 133 | 2015 |
| 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 | 116 | 2015 |
| Recommending web services via combining collaborative filtering with content-based features L Yao, QZ Sheng, A Segev, J Yu 2013 IEEE 20th International Conference on Web Services, 42-49, 2013 | 101 | 2013 |
| Context-aware point-of-interest recommendation using tensor factorization with social regularization L Yao, QZ Sheng, Y Qin, X Wang, A Shemshadi, Q He Proceedings of the 38th international ACM SIGIR conference on research and …, 2015 | 74 | 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 | 68 | 2017 |
| Web-based management of the internet of things L Yao, QZ Sheng, S Dustdar IEEE Internet Computing 19 (4), 60-67, 2015 | 65 | 2015 |
| 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 | 59 | 2016 |
| Things of Interest Recommendation by Leveraging Heterogeneous Relations in the Internet of Things L Yao, QZ Sheng, AHH Ngu, X Li ACM Transactions on Internet Technology 16 (2), 2016 | 59 | 2016 |
| 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 | 49 | 2017 |
| A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers X Zhang, L Yao, X Wang, J Monaghan, D Mcalpine https://arxiv.org/abs/1905.04149, 2019 | 41 | 2019 |
| Behavior modeling and automated verification of Web services QZ Sheng, Z Maamar, L Yao, C Szabo, S Bourne Information Sciences 258, 416-433, 2014 | 39 | 2014 |
| 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 | 38 | 2016 |
| Tagtrack: Device-free localization and tracking using passive rfid tags W Ruan, L Yao, QZ Sheng, NJG Falkner, X Li Proceedings of the 11th international conference on mobile and ubiquitous …, 2014 | 38 | 2014 |
| Converting your thoughts to texts: Enabling brain typing via deep feature learning of eeg signals X Zhang, L Yao, QZ Sheng, SS Kanhere, T Gu, D Zhang 2018 IEEE international conference on pervasive computing and communications …, 2018 | 37 | 2018 |
| Exploring recommendations in internet of things L Yao, QZ Sheng, AHH Ngu, H Ashman, X Li Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 35 | 2014 |
| 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 The 32nd AAAI Conference on Artifical Intelligence (AAAI-18), 2018 | 34 | 2018 |
| 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 | 34* | 2018 |
| An integrated bayesian approach for effective multi-truth discovery X Wang, QZ Sheng, XS Fang, L Yao, X Xu, X Li Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 34 | 2015 |
Quan Z. (Michael) ShengFull Professor, Department of Computing, Macquarie University, Sydney, AustraliaVerified email at mq.edu.au
