Enfang Cui - RankMe

15 papers Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A2H: Agent-to-Human Protocol for AI Agent. CoRR Zhiyuan Liang, Enfang Cui, Qian Wei, Rui She, Tianzheng Li, Minxin Guo, Yujun Cheng
2026	J	`jnl`	SeFUL: A Selective Federated Unlearning Framework for Client Data Heterogeneity in Intelligent Wireless Networks. IEEE Trans. Mob. Comput. Yujun Cheng, Weiting Zhang, Tao Zheng, Enfang Cui, Xu Ma, Haijun Zhang
2025	J	`jnl`	AgentDNS: A Root Domain Naming System for LLM Agents. CoRR Enfang Cui, Yujun Cheng, Rui She, Dan Liu, Zhiyuan Liang, Minxin Guo, Tianzheng Li, Qian Wei, Wenjuan Xing, Zhijie Zhong
2025	J	`jnl`	Energy-aware scheduling for reliability-oriented real-time parallel applications allocation on heterogeneous computing systems. Future Gener. Comput. Syst. Rui She, Yuting Wu, Enfang Cui
2025	J	`jnl`	Energy-efficiency optimization for heterogeneous computing-assisted NOMA-MEC edge AI tasks. Future Gener. Comput. Syst. Rui She, Yuting Wu, Enfang Cui, Mengyu Sun, Wei Zhao, Deji Fu
2024	—	`conf`	RISC-V Virtualization: Exploring Virtualization in an Open Instruction Set Architecture. CNIOT Zhiyuan Liang, Tianzheng Li, Enfang Cui
2024	J	`jnl`	TeleVM: A Lightweight Virtual Machine for RISC-V Architecture. IEEE Comput. Archit. Lett. Tianzheng Li, Enfang Cui, Yuting Wu, Qian Wei, Yue Gao
2023	—	`conf`	Federated Learning Model Training Mechanism with Edge Cloud Collaboration for Services in Smart Cities. BMSB Dan Liu, Enfang Cui, Yun Shen, Peng Ding, Zhichao Zhang
2023	—	`conf`	RISC-V ISA Extension Toolchain Supports: A Survey. CNIOT Yue Gao, Wei Qian, Enfang Cui
2023	J	`jnl`	RISC-V Instruction Set Architecture Extensions: A Survey. IEEE Access Enfang Cui, Tianzheng Li, Qian Wei
2022	J	`jnl`	Learning-based deep neural network inference task offloading in multi-device and multi-server collaborative edge computing. Trans. Emerg. Telecommun. Technol. Enfang Cui, Dong Yang, Hongchao Wang, Weiting Zhang
2021	J	`jnl`	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. IEEE Veh. Technol. Mag. Dong Yang, Enfang Cui, Hongchao Wang, Hongke Zhang
2021	J	`jnl`	Improving Power Stability of Energy Harvesting Devices With Edge Computing-Assisted Time Fair Energy Allocation. IEEE Trans. Green Commun. Netw. Enfang Cui, Dong Yang, Hongke Zhang, Mikael Gidlund
2021	—	`conf`	Resource-Efficient DNN Training and Inference for Heterogeneous Edge Intelligence in 6G. HPCC/DSS/SmartCity/DependSys Enfang Cui, Weiting Zhang, Dong Yang, Wen Wu, Feng Lyu
2020	—	`conf`	An Analytical Latency Model for AVB Traffic in TSN Considering Time-Triggered Traffic. ICCT Jie Ren, Dong Yang, Enfang Cui, Kai Gong