| Deep reinforcement learning-based energy-efficient edge computing for internet of vehicles X Kong, G Duan, M Hou, G Shen, H Wang, X Yan, M Collotta IEEE Transactions on Industrial Informatics 18 (9), 6308-6316, 2022 | 74 | 2022 |
| A federated learning-based license plate recognition scheme for 5G-enabled internet of vehicles X Kong, K Wang, M Hou, X Hao, G Shen, X Chen, F Xia IEEE Transactions on Industrial Informatics 17 (12), 8523-8530, 2021 | 72 | 2021 |
| Matching algorithms: Fundamentals, applications and challenges J Ren, F Xia, X Chen, J Liu, M Hou, A Shehzad, N Sultanova, X Kong IEEE Transactions on Emerging Topics in Computational Intelligence 5 (3 …, 2021 | 52 | 2021 |
| A shared bus profiling scheme for smart cities based on heterogeneous mobile crowdsourced data X Kong, F Xia, J Li, M Hou, M Li, Y Xiang IEEE Transactions on Industrial Informatics 16 (2), 1436-1444, 2019 | 51 | 2019 |
| Network embedding: Taxonomies, frameworks and applications M Hou, J Ren, D Zhang, X Kong, D Zhang, F Xia Computer Science Review 38, 100296, 2020 | 48 | 2020 |
| Exploring human mobility for multi-pattern passenger prediction: A graph learning framework X Kong, K Wang, M Hou, F Xia, G Karmakar, J Li IEEE Transactions on Intelligent Transportation Systems 23 (9), 16148-16160, 2022 | 35 | 2022 |
| RMGen: A tri-layer vehicular trajectory data generation model exploring urban region division and mobility pattern X Kong, Q Chen, M Hou, A Rahim, K Ma, F Xia IEEE Transactions on Vehicular Technology 71 (9), 9225-9238, 2022 | 30 | 2022 |
| Spatio-temporal graph learning for epidemic prediction S Yu, F Xia, S Li, M Hou, QZ Sheng ACM Transactions on Intelligent Systems and Technology 14 (2), 1-25, 2023 | 13 | 2023 |
| A lightweight framework for abnormal driving behavior detection M Hou, M Wang, W Zhao, Q Ni, Z Cai, X Kong Computer Communications 184, 128-136, 2022 | 13 | 2022 |
| Api: An index for quantifying a scholar’s academic potential J Ren, L Wang, K Wang, S Yu, M Hou, I Lee, X Kong, F Xia IEEE Access 7, 178675-178684, 2019 | 9 | 2019 |
| Coupled attention networks for multivariate time series anomaly detection F Xia, X Chen, S Yu, M Hou, M Liu, L You IEEE Transactions on Emerging Topics in Computing, 2023 | 7 | 2023 |
| A3Graph: Adversarial attributed autoencoder for graph representation learning M Hou, L Wang, J Liu, X Kong, F Xia Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1697-1704, 2021 | 6 | 2021 |
| Urban region profiling with spatio-temporal graph neural networks M Hou, F Xia, H Gao, X Chen, H Chen IEEE Transactions on Computational Social Systems 9 (6), 1736-1747, 2022 | 5 | 2022 |
| Digital twin mobility profiling: A spatio-temporal graph learning approach X Chen, M Hou, T Tang, A Kaur, F Xia 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th …, 2021 | 5 | 2021 |
| Mobility trajectory generation: a survey X Kong, Q Chen, M Hou, H Wang, F Xia Artificial Intelligence Review 56 (Suppl 3), 3057-3098, 2023 | 4 | 2023 |
| Many-to-many collaborator recommendation based on matching markets theory X Kong, L Wen, J Ren, M Hou, M Zhang, K Liu, F Xia 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2019 | 4 | 2019 |
| MISSII: missing information imputation for traffic data M Hou, T Tang, F Xia, I Sultan, R Kaur, X Kong IEEE Transactions on Emerging Topics in Computing, 2023 | 2 | 2023 |
| Cross network representation matching with outliers M Hou, J Ren, F Febrinanto, A Shehzad, F Xia 2021 International Conference on Data Mining Workshops (ICDMW), 951-958, 2021 | 2 | 2021 |
| EAGLE: Contrastive learning for efficient graph anomaly detection J Ren, M Hou, Z Liu, X Bai IEEE Intelligent Systems, 2022 | 1 | 2022 |
| SmartColor: Automatic Web Color Scheme Generation Based on Deep Learning Z Feng, M Hou, H Liu, M Liu, A Kaur, FG Febrinanto, W Zhao 2021 12th International Conference on Information and Communication Systems …, 2021 | 1 | 2021 |
Feng XiaProfessor, School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
