| An offloading strategy in mobile cloud computing considering energy and delay constraints V Haghighi, NS Moayedian IEEE Access 6, 11849-11861, 2018 | 35 | 2018 |
| A survey on participant selection for federated learning in mobile networks B Soltani, V Haghighi, A Mahmood, QZ Sheng, L Yao Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet …, 2022 | 19 | 2022 |
| A comprehensive survey on graph summarization with graph neural networks N Shabani, J Wu, A Beheshti, QZ Sheng, J Foo, V Haghighi, A Hanif, ... IEEE Transactions on Artificial Intelligence, 2024 | 5 | 2024 |
| A survey of federated evaluation in federated learning B Soltani, Y Zhou, V Haghighi, J Lui arXiv preprint arXiv:2305.08070, 2023 | 2 | 2023 |
| GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks V Haghighi, B Soltani, A Mahmood, QZ Sheng, J Yang arXiv preprint arXiv:2207.03688, 2022 | 1 | 2022 |
| Attention-Based Graph Summarization for Large-Scale Information Retrieval N Shabani, A Beheshti, A Jolfaei, J Wu, V Haghighi, MK Najafabadi, J Foo IEEE Transactions on Consumer Electronics, 2024 | | 2024 |
| From Classic GNNs to Hyper-GNNs for Detecting Camouflaged Malicious Actors V Haghighi Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | | 2023 |
| A Comprehensive Survey on Graph Summarization with Graph Neural Networks MS Nasrin Shabani, Jia Wu, Amin Beheshti, Quan Sheng, Jin Foo, Venus ... arXiv preprint arXiv:2302.06114, 2023 | | 2023 |
| A Comprehensive Survey on Graph Summarization with Graph Neural Networks J Foo, V Haghighi, A Hanif, M Shahabikargar | | |
Quan Z. (Michael) ShengDistinguished Professor, School of Computing, Macquarie University, Sydney, Australia在 mq.edu.au 的电子邮件经过验证
