Enfang Cui

According to our database, Enfang Cui authored at least 12 papers between 2020 and 2025.

Collaborative distances:

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

2025

Energy-efficiency optimization for heterogeneous computing-assisted NOMA-MEC edge AI tasks.

Rui She, Yuting Wu, Enfang Cui, Mengyu Sun, Wei Zhao, Deji Fu

Future Gener. Comput. Syst., 2025

2024

TeleVM: A Lightweight Virtual Machine for RISC-V Architecture.

Tianzheng Li, Enfang Cui, Yuting Wu, Qian Wei, Yue Gao

IEEE Comput. Archit. Lett., 2024

RISC-V Virtualization: Exploring Virtualization in an Open Instruction Set Architecture.

Zhiyuan Liang, Tianzheng Li, Enfang Cui

Proceedings of the 2024 5th International Conference on Computing, 2024

2023

RISC-V Instruction Set Architecture Extensions: A Survey.

Enfang Cui, Tianzheng Li, Qian Wei

IEEE Access, 2023

RISC-V ISA Extension Toolchain Supports: A Survey.

Yue Gao, Wei Qian, Enfang Cui

Proceedings of the 2023 4th International Conference on Computing, 2023

Federated Learning Model Training Mechanism with Edge Cloud Collaboration for Services in Smart Cities.

Dan Liu, Enfang Cui, Yun Shen, Peng Ding, Zhichao Zhang

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023

2022

Metro vehicle vibration energy harvesting dataset.

Enfang Cui

Dataset, May, 2022

Learning-based deep neural network inference task offloading in multi-device and multi-server collaborative edge computing.

Enfang Cui, Dong Yang, Hongchao Wang, Weiting Zhang

Trans. Emerg. Telecommun. Technol., 2022

2021

EH-Edge-An Energy Harvesting-Driven Edge IoT Platform for Online Failure Prediction of Rail Transit Vehicles: A case study of a cloud, edge, and end device collaborative computing paradigm.

Dong Yang, Enfang Cui, Hongchao Wang, Hongke Zhang

IEEE Veh. Technol. Mag., 2021

Improving Power Stability of Energy Harvesting Devices With Edge Computing-Assisted Time Fair Energy Allocation.

Enfang Cui, Dong Yang, Hongke Zhang, Mikael Gidlund

IEEE Trans. Green Commun. Netw., 2021

Resource-Efficient DNN Training and Inference for Heterogeneous Edge Intelligence in 6G.

Enfang Cui, Weiting Zhang, Dong Yang, Wen Wu, Feng Lyu

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

An Analytical Latency Model for AVB Traffic in TSN Considering Time-Triggered Traffic.

Jie Ren, Dong Yang, Enfang Cui, Kai Gong

Proceedings of the 20th IEEE International Conference on Communication Technology, 2020