Zhiwei Yao

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Heterogeneity-Aware Semi-Supervised Federated Learning With Client-to-Client Collaboration.
IEEE Trans. Mob. Comput., July, 2026

Heterogeneity-Aware Federated Meta Learning for Personalized Edge Devices.
IEEE Trans. Mob. Comput., April, 2026

Lightweight and Post-Training Structured Pruning for On-Device Large Language Models.
IEEE Trans. Mob. Comput., April, 2026

Decentralized federated learning with vertical model parallelism and topology construction.
Comput. Networks, 2026

Federated fine-tuning on heterogeneous data with alternating device-to-device collaboration.
Comput. Networks, 2026

ColoGene: Empowering Designers with Genetic Narratives of Traditional Chinese Colors.
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
Enhancing Split Federated Learning With Worker Clustering and Feature Compression.
IEEE J. Sel. Areas Commun., December, 2025

Cross-region Model Training with Communication-Computation Overlapping and Delay Compensation.
CoRR, April, 2025

Enhancing Semi-Supervised Federated Learning With Progressive Training in Heterogeneous Edge Computing.
IEEE Trans. Mob. Comput., March, 2025

A Novel Hat-Shaped Device-Cloud Collaborative Inference Framework for Large Language Models.
CoRR, March, 2025

Lightweight and Post-Training Structured Pruning for On-Device Large Lanaguage Models.
CoRR, January, 2025

Efficient Deployment of Large Language Models on Resource-constrained Devices.
CoRR, January, 2025

PairingFL: Efficient Federated Learning With Model Splitting and Client Pairing.
IEEE Trans. Netw., 2025

A Full Closed-Loop Rotary Laser Scanning Angle Measurement System Based on an Optical Frequency Comb.
IEEE Trans. Instrum. Meas., 2025

SNN using color-opponent and attention mechanisms for object recognition.
Pattern Recognit., 2025

Towards layer-wise quantization for heterogeneous federated clients.
Comput. Networks, 2025

ARitecture: Enhancing Cognitive Engagement in Cultural Heritage Through Experiential Learning and Augmented Reality in Chinese Landmark Buildings.
Proceedings of the Culture and Computing, 2025

MPLS: Stacking Diverse Layers Into One Model for Decentralized Federated Learning.
Proceedings of the Euro-Par 2025: Parallel Processing, 2025

2024
Ferrari: A Personalized Federated Learning Framework for Heterogeneous Edge Clients.
IEEE Trans. Mob. Comput., October, 2024

Accelerating Federated Learning With Data and Model Parallelism in Edge Computing.
IEEE/ACM Trans. Netw., February, 2024

Recent advances on reliability of FPGAs in a radiation environment.
Microelectron. J., 2024

An Efficient NAS-based Approach for Handling Imbalanced Datasets.
CoRR, 2024

Active High-Impedance Fault Detection Method for Resonant Grounding Distribution Networks.
IEEE Access, 2024

False Data Injection Attack Detection Method Based on Deep Learning With Multi-Scale Feature Fusion.
IEEE Access, 2024

Research on Dialect Protection: Interaction Design of Chinese Dialects Based on BLSTM-CRF and FBM Theories.
IEEE Access, 2024

A High-Resolution Ultrasonic Environmental Sensing Scheme for Indoor Automated Guided Vehicle Obstacle Avoidance.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

A New Approach to Predict Radio Map via Learning-Based Spatial Loss Field.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A Novel Unsupervised Learning Network for Direction-of-Arrival Estimation in Internet of Things Scenarios.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

A New Federated Learning Model for Host Intrusion Detection System Under Non-IID Data.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2021
Multiuser joint downlink channel reconstruction based on spatial consistency.
Phys. Commun., 2021


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