| The 10 research topics in the Internet of Things WE Zhang, QZ Sheng, A Mahmood, M Zaib, SA Hamad, A Aljubairy, ... 2020 IEEE 6th International Conference on Collaboration and Internet …, 2020 | 50 | 2020 |
| Trust management for software-defined heterogeneous vehicular ad hoc networks A Mahmood, WE Zhang, QZ Sheng, SA Siddiqui, A Aljubairy Security, privacy and trust in the IoT environment, 203-226, 2019 | 33 | 2019 |
| Siotpredict: A framework for predicting relationships in the social internet of things A Aljubairy, WE Zhang, QZ Sheng, A Alhazmi Advanced Information Systems Engineering: 32nd International Conference …, 2020 | 26 | 2020 |
| Real-time investigation of flight delays based on the internet of things data A Aljubairy, A Shemshadi, QZ Sheng Advanced Data Mining and Applications: 12th International Conference, ADMA …, 2016 | 20 | 2016 |
| Hetegraph: graph learning in recommender systems via graph convolutional networks DH Tran, QZ Sheng, WE Zhang, A Aljubairy, M Zaib, SA Hamad, NH Tran, ... Neural computing and applications, 1-17, 2021 | 15 | 2021 |
| HeteGraph: a convolutional framework for graph learning in recommender systems A Aljubairy, M Zaib, QZ Sheng, WE Zhang, NH Tran, KLD Nguyen 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 6 | 2020 |
| Deep news recommendation with contextual user profiling and multifaceted article representation DH Tran, S Hamad, M Zaib, A Aljubairy, QZ Sheng, WE Zhang, NH Tran, ... Web Information Systems Engineering–WISE 2021: 22nd International Conference …, 2021 | 4 | 2021 |
| A system for effectively predicting flight delays based on IoT data A Aljubairy, WE Zhang, A Shemshadi, A Mahmood, QZ Sheng Computing 102, 2025-2048, 2020 | 4 | 2020 |
| Towards a deep learning-driven service discovery framework for the social internet of things: A context-aware approach A Aljubairy, A Alhazmi, WE Zhang, QZ Sheng, DH Tran Web Information Systems Engineering–WISE 2021: 22nd International Conference …, 2021 | 3 | 2021 |
| Analyzing the sensitivity of deep neural networks for sentiment analysis: A scoring approach A Alhazmi, WE Zhang, QZ Sheng, A Aljubairy 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 2 | 2020 |
| Are Modern Deep Learning Models for Sentiment Analysis Brittleƒ An Examination on Part-of-Speech A Alhazmi, WE Zhang, QZ Sheng, A Aljubairy 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 1 | 2020 |
| The impact of guided metacognitive feedback on novice programmers using learning by teaching environment A Alhazmi, R Maaroufi, A Alhazmi, R Maaroufi Journal of King Abdulaziz University-Computing and Information Technology …, 2020 | 1 | 2020 |
| A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects A Aljubairy, A Alhazmi, WE Zhang, QZ Sheng, DH Tran International Conference on Advanced Data Mining and Applications, 83-94, 2022 | | 2022 |
| A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis A Alhazmi, A Aljubairy, WE Zhang, QZ Sheng, E Alhazmi 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | | 2021 |
Quan Z. (Michael) ShengDistinguished Professor, School of Computing, Macquarie University, Sydney, AustraliaVerified email at mq.edu.au
