Hamza Djigal

According to our database, Hamza Djigal authored at least 16 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Few-Shot Relation Extraction Based on Prompt Learning: A Taxonomy, Survey, Challenges and Future Directions.

Tingting Hang, Shuting Liu, Jun Feng, Hamza Djigal, Jun Huang

ACM Comput. Surv., January, 2026

2025

GAPrompt: A soft prompt compression model for few-shot relation extraction.

Tingting Hang, Wei Wu, Shuting Liu, Jun Feng, Hamza Djigal

Knowl. Based Syst., 2025

Robust annotation aggregation in crowdsourcing via enhanced worker ability modeling.

Ju Chen, Jun Feng, Shenyu Zhang, Xiaodong Li, Hamza Djigal

Inf. Process. Manag., 2025

A survey of Few-Shot Relation Extraction combining meta-learning with prompt learning.

Tingting Hang, Wei Wu, Jun Feng, Hamza Djigal, Jun Huang

Neurocomputing, 2025

BUCAS: Budget-Constrained Application Scheduling in IaaS Clouds.

Xin Ni, Hamza Djigal, Abdoul Fatahou Ba, Abdullahi Uwaisu Muhammad

Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

MPPTS: Multi-factor Predictive Priority Task Scheduling Algorithm for Heterogeneous Systems.

Luyao Jiao, Hamza Djigal, Abdoul Fatakhou Ba, Abdullahi Uwaisu Muhammad

Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

Adaptive Budget-Constrained Resource Provisioning for Workflow Scheduling in IaaS Clouds.

Seyedeh Faezeh Farahbakhshian, Jun Feng, Hamza Djigal, Amin Fakhartousi

Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

2024

ProLoRA: Resource-Efficient Personalized Federated Learning for Sensor Based Human Activity Recognition.

Abdoul Fatakhou Ba, Yingchi Mao, Hamza Djigal, Abdullahi Uwaisu Muhammad

Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

Fast Adaptive Momentum Federated Learning.

Abdoul Fatakhou Ba, Yingchi Mao, Hamza Djigal, Abdullahi Uwaisu Muhammad, Evans Baidoo

Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence, 2024

2023

An autoencoder-based stacked LSTM transfer learning model for EC forecasting.

Abdullahi Uwaisu Muhammad, Hamza Djigal, Tasiu Muazu, Jibril Muhammad Adam, Abdoul Fatakhou Ba, Umar Sani Dabai, Sani Tijjani, Muhammad Sabo Yahaya, Aliyu Ashiru, Umar Muhammad Mustapha Kumshe, Saddam Aliyu, Faruwa Ajibola Richard

Earth Sci. Informatics, December, 2023

2022

Machine and Deep Learning for Resource Allocation in Multi-Access Edge Computing: A Survey.

Hamza Djigal, Jia Xu, Linfeng Liu, Yan Zhang

IEEE Commun. Surv. Tutorials, 2022

BUDA: Budget and Deadline Aware Scheduling Algorithm for Task Graphs in Heterogeneous Systems.

Hamza Djigal, Linfeng Liu, Jian Luo, Jia Xu

Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

2021

IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems.

Hamza Djigal, Jun Feng, Jiamin Lu, Jidong Ge

IEEE Trans. Parallel Distributed Syst., 2021

2020

Performance Evaluation of Security-Aware List Scheduling Algorithms in IaaS Cloud.

Hamza Djigal, Jun Feng, Jiamin Lu

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

Task Scheduling for Heterogeneous Computing using a Predict Cost Matrix.

Hamza Djigal, Jun Feng, Jiamin Lu

Proceedings of the 48th International Conference on Parallel Processing, 2019

2017

Secure Framework for Future Smart City.

Hamza Djigal, Jun Feng, Jiamin Lu

Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017