| Machine and deep learning for resource allocation in multi-access edge computing: A survey H Djigal, J Xu, L Liu, Y Zhang IEEE Communications Surveys & Tutorials 24 (4), 2449-2494, 2022 | 77 | 2022 |
| IPPTS: An efficient algorithm for scientific workflow scheduling in heterogeneous computing systems H Djigal, J Feng, J Lu, J Ge IEEE transactions on parallel and distributed systems 32 (5), 1057-1071, 2020 | 74 | 2020 |
| Task scheduling for heterogeneous computing using a predict cost matrix H Djigal, J Feng, J Lu Workshop Proceedings of the 48th International Conference on Parallel …, 2019 | 32 | 2019 |
| Secure framework for future smart city H Djigal, F Jun, J Lu 2017 IEEE 4th International Conference on Cyber Security and Cloud Computing …, 2017 | 11 | 2017 |
| Performance evaluation of security-aware list scheduling algorithms in iaas cloud H Djigal, J Feng, J Lu 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020 | 9 | 2020 |
| BUDA: Budget and deadline aware scheduling algorithm for task graphs in heterogeneous systems H Djigal, L Liu, J Luo, J Xu 2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS), 1-10, 2022 | 4 | 2022 |
| An autoencoder-based stacked LSTM transfer learning model for EC forecasting AU Muhammad, H Djigal, T Muazu, JM Adam, AF Ba, US Dabai, S Tijjani, ... Earth Science Informatics 16 (4), 3369-3385, 2023 | 3 | 2023 |
| Robust annotation aggregation in crowdsourcing via enhanced worker ability modeling J Chen, J Feng, S Zhang, X Li, H Djigal Information Processing & Management 62 (1), 103914, 2025 | | 2025 |
| Fast Adaptive Momentum Federated Learning AF Ba, Y Mao, H Djigal, AU Muhammad, E Baidoo Proceedings of the 2024 8th International Conference on Computer Science and …, 2024 | | 2024 |
| QL-PPTS: A Machine Learning Scheduling Scheme on Edge Computing Environments W Lu, J Wan, H Djigal, J Xu, L Xu | | 2023 |
| A Survey of Few-Shot Relation Extraction Combining Meta-Learning with Prompt Learning T Hang, W Wu, J Feng, H Djigal, J Huang Available at SSRN 5029805, 0 | | |
| Gaprompt: A Soft Prompt Compression Model for Few-Shot Relation Extraction T Hang, W Wu, S Liu, J Feng, H Djigal Available at SSRN 4992299, 0 | | |
Jun FengHohai UniversityE-mail megerősítve itt: hhu.edu.cn