Yangguang Cui

According to our database, Yangguang Cui authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

2024

User-Distribution-Aware Federated Learning for Efficient Communication and Fast Inference.

Yangguang Cui, Zhixing Zhang, Nuo Wang, Liying Li, Chunwei Chang, Tongquan Wei

IEEE Trans. Computers, April, 2024

2023

MBSNN: A multi-branch scalable neural network for resource-constrained IoT devices.

Haizhou Wang, Liying Li, Yangguang Cui, Nuo Wang, Fuke Shen, Tongquan Wei

J. Syst. Archit., September, 2023

Reinforcement Learning-Based Device Scheduling for Renewable Energy-Powered Federated Learning.

Yangguang Cui, Kun Cao, Tongquan Wei

IEEE Trans. Ind. Informatics, May, 2023

Optimizing Training Efficiency and Cost of Hierarchical Federated Learning in Heterogeneous Mobile-Edge Cloud Computing.

Yangguang Cui, Kun Cao, Junlong Zhou, Tongquan Wei

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2023

FedEntropy: Information-entropy-aided training optimization of semi-supervised federated learning.

Dongwei Qian, Yangguang Cui, Yufei Fu, Feng Liu, Tongquan Wei

J. Syst. Archit., April, 2023

Filtering Out High Noise Data for Distributed Deep Neural Networks.

Yangguang Cui, Liying Li, Zhe Tao, Mingsong Chen, Tongquan Wei

IEEE Trans Autom. Sci. Eng., 2023

2022

Client Scheduling and Resource Management for Efficient Training in Heterogeneous IoT-Edge Federated Learning.

Yangguang Cui, Kun Cao, Guitao Cao, Meikang Qiu, Tongquan Wei

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Utility-driven renewable energy sharing systems for community microgrid.

Jun Chen, Liying Li, Yangguang Cui, Fuke Shen, Meikang Qiu, Tongquan Wei

J. Syst. Archit., 2022

Edge Intelligent Joint Optimization for Lifetime and Latency in Large-Scale Cyber-Physical Systems.

Kun Cao, Yangguang Cui, Zhiquan Liu, Wuzheng Tan, Jian Weng

IEEE Internet Things J., 2022

CAIM: A Context-Aware Incentive Mechanism for Robust Federated Learning.

Chunwei Chang, Yangguang Cui, Jianhua Shen, Tongquan Wei

Proceedings of the IEEE Smartworld, 2022

ML-FORMER: Forecasting by Neighborhood and Long-Range Dependencies.

Zengxiang Ke, Yangguang Cui, Liying Li, Tongquan Wei

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

HELCFL: High-Efficiency and Low-Cost Federated Learning in Heterogeneous Mobile-Edge Computing.

Yangguang Cui, Kun Cao, Junlong Zhou, Tongquan Wei

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

DBANet: A Dual Branch Attention-Based Deep Neural Network for Biological Iris Recognition.

Jun Chen, Yangguang Cui, Fuke Shen, Jianhua Shen, Tongquan Wei

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Exploring Placement of Heterogeneous Edge Servers for Response Time Minimization in Mobile Edge-Cloud Computing.

Kun Cao, Liying Li, Yangguang Cui, Tongquan Wei, Shiyan Hu

IEEE Trans. Ind. Informatics, 2021

Lifetime-Driven Scheduling of Security-Critical Internet-of-Things Applications on Real-Time Heterogeneous Multicore Systems.

Yufan Shen, Kun Cao, Yangguang Cui, Chengliang Zhou, Gongxuan Zhang, Junlong Zhou

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

Augmented Cross-Entropy-Based Joint Temperature Optimization of Real-Time 3-D MPSoC Systems.

Yangguang Cui, Kun Cao, Liying Li, Junlong Zhou, Tongquan Wei, Shiyan Hu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020