Yangguang Cui

Orcid: 0000-0001-9447-0983

According to our database1, Yangguang Cui authored at least 20 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
User-Distribution-Aware Federated Learning for Efficient Communication and Fast Inference.
IEEE Trans. Computers, April, 2024

A meta-learning based method for few-shot pneumonia identification using chest X-ray images.
Biomed. Signal Process. Control., 2024

Improving Generalization and Personalization in Long-Tailed Federated Learning via Classifier Retraining.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023
MBSNN: A multi-branch scalable neural network for resource-constrained IoT devices.
J. Syst. Archit., September, 2023

Reinforcement Learning-Based Device Scheduling for Renewable Energy-Powered Federated Learning.
IEEE Trans. Ind. Informatics, May, 2023

Optimizing Training Efficiency and Cost of Hierarchical Federated Learning in Heterogeneous Mobile-Edge Cloud Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2023

FedEntropy: Information-entropy-aided training optimization of semi-supervised federated learning.
J. Syst. Archit., April, 2023

Filtering Out High Noise Data for Distributed Deep Neural Networks.
IEEE Trans Autom. Sci. Eng., 2023

Heterogeneity-Aware Federated Learning with Adaptive Local Epoch Size in Edge Computing.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

A Meta Reinforcement Learning-based Scheme for Adaptive Service Placement in Edge Computing.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

2022
Client Scheduling and Resource Management for Efficient Training in Heterogeneous IoT-Edge Federated Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Utility-driven renewable energy sharing systems for community microgrid.
J. Syst. Archit., 2022

Edge Intelligent Joint Optimization for Lifetime and Latency in Large-Scale Cyber-Physical Systems.
IEEE Internet Things J., 2022

CAIM: A Context-Aware Incentive Mechanism for Robust Federated Learning.
Proceedings of the IEEE Smartworld, 2022

ML-FORMER: Forecasting by Neighborhood and Long-Range Dependencies.
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.
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.
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.
IEEE Trans. Ind. Informatics, 2021

Lifetime-Driven Scheduling of Security-Critical Internet-of-Things Applications on Real-Time Heterogeneous Multicore Systems.
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.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020


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