| A computation offloading method over big data for IoT-enabled cloud-edge computing X Xu, Q Liu, Y Luo, K Peng, X Zhang, S Meng, L Qi Future Generation Computer Systems 95, 522-533, 2019 | 329 | 2019 |
| A blockchain-powered crowdsourcing method with privacy preservation in mobile environment X Xu, Q Liu, X Zhang, J Zhang, L Qi, W Dou IEEE Transactions on Computational Social Systems 6 (6), 1407-1419, 2019 | 146 | 2019 |
| An IoT-oriented data placement method with privacy preservation in cloud environment X Xu, S Fu, L Qi, X Zhang, Q Liu, Q He, S Li Journal of Network and Computer Applications 124, 148-157, 2018 | 138 | 2018 |
| A blockchain‐based computation offloading method for edge computing in 5G networks X Xu, Y Chen, X Zhang, Q Liu, X Liu, L Qi Software: Practice and Experience 51 (10), 2015-2032, 2021 | 69 | 2021 |
| A heuristic virtual machine scheduling method for load balancing in fog-cloud computing X Xu, Q Liu, L Qi, Y Yuan, W Dou, AX Liu 2018 IEEE 4th International Conference on Big Data Security on Cloud …, 2018 | 30 | 2018 |
| Customized federated learning for accelerated edge computing with heterogeneous task targets H Jiang, M Liu, B Yang, Q Liu, J Li, X Guo Computer Networks 183, 107569, 2020 | 22 | 2020 |
| Exploring the distributed knowledge congruence in proxy-data-free federated distillation Z Wu, S Sun, Y Wang, M Liu, Q Pan, J Zhang, Z Li, Q Liu ACM Transactions on Intelligent Systems and Technology 15 (2), 1-34, 2024 | 15 | 2024 |
| Uncertainty-aware resource provisioning for workflow scheduling in edge computing environment H Cao, X Xu, Q Liu, Y Xue, L Qi 2019 18th IEEE International Conference On Trust, Security And Privacy In …, 2019 | 6 | 2019 |
| Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting Q Liu, S Sun, M Liu, Y Wang, B Gao arXiv preprint arXiv:2302.08658, 2023 | 4 | 2023 |
| Computation offloading method for workflow management in mobile edge computing S FU, Z FU, G XING, Q LIU, X XU Journal of Computer Applications 39 (5), 1523, 2019 | 2 | 2019 |
| Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting Q Liu, X Liu, C Liu, Q Wen, Y Liang arXiv preprint arXiv:2405.14252, 2024 | | 2024 |
| Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach Q Liu, S Sun, Y Liang, J Xue, M Liu arXiv preprint arXiv:2404.03702, 2024 | | 2024 |
Xiaolong Xu (许小龙)Full Professor, Highly Cited Researcher 2021-2023, SMIEEE, NUIST在 nuist.edu.cn 的电子邮件经过验证
Xiaolong Xu (许小龙)Full Professor, Highly Cited Researcher 2021-2023, SMIEEE, NUIST在 nuist.edu.cn 的电子邮件经过验证