Yang Xu

Orcid: 0000-0003-0839-3892

Affiliations:
  • University of Science and Technology of China, School of Computer Science and Technology, Hefei, China


According to our database1, Yang Xu authored at least 74 papers between 2016 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
DySTop.
CoRR, August, 2025

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

Resource-Efficient Federated Fine-Tuning Large Language Models for Heterogeneous Data.
CoRR, 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

Enhancing Federated Learning Through Layer-Wise Aggregation Over Non-IID Data.
IEEE Trans. Serv. Comput., 2025

LOGO-CL: Accelerating semi-supervised federated learning in edge computing.
Comput. Networks, 2025

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

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

2024
Overcoming Noisy Labels and Non-IID Data in Edge Federated Learning.
IEEE Trans. Mob. Comput., December, 2024

Asynchronous Decentralized Federated Learning for Heterogeneous Devices.
IEEE/ACM Trans. Netw., October, 2024

FedUC: A Unified Clustering Approach for Hierarchical Federated Learning.
IEEE Trans. Mob. Comput., October, 2024

Semi-Supervised Decentralized Machine Learning With Device-to-Device Cooperation.
IEEE Trans. Mob. Comput., October, 2024

Enhancing Decentralized and Personalized Federated Learning With Topology Construction.
IEEE Trans. Mob. Comput., October, 2024

Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks.
IEEE/ACM Trans. Netw., August, 2024

Decentralized Federated Learning With Adaptive Configuration for Heterogeneous Participants.
IEEE Trans. Mob. Comput., June, 2024

FedLC: Accelerating Asynchronous Federated Learning in Edge Computing.
IEEE Trans. Mob. Comput., May, 2024

Federated Learning With Client Selection and Gradient Compression in Heterogeneous Edge Systems.
IEEE Trans. Mob. Comput., May, 2024

Finch: Enhancing Federated Learning With Hierarchical Neural Architecture Search.
IEEE Trans. Mob. Comput., May, 2024

Fully Distributed Task Offloading in Vehicular Edge Computing.
IEEE Trans. Veh. Technol., April, 2024

BOSE: Block-Wise Federated Learning in Heterogeneous Edge Computing.
IEEE/ACM Trans. Netw., April, 2024

Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection.
IEEE Trans. Mob. Comput., April, 2024

Computation and Communication Efficient Federated Learning With Adaptive Model Pruning.
IEEE Trans. Mob. Comput., March, 2024

FAST: Enhancing Federated Learning Through Adaptive Data Sampling and Local Training.
IEEE Trans. Parallel Distributed Syst., February, 2024

Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning.
IEEE/ACM Trans. Netw., February, 2024

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

Like Attracts Like: Personalized Federated Learning in Decentralized Edge Computing.
IEEE Trans. Mob. Comput., February, 2024

Decentralized Federated Learning With Intermediate Results in Mobile Edge Computing.
IEEE Trans. Mob. Comput., January, 2024

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices.
CoRR, 2024

Collaborative Inference for Large Models with Task Offloading and Early Exiting.
CoRR, 2024

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

Accelerating Hierarchical Federated Learning with Model Splitting in Edge Computing.
Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

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

Clients Help Clients: Alternating Collaboration for Semi-Supervised Federated Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Federated Semi-Supervised Learning with Local and Global Updating Frequency Optimization.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning.
IEEE Trans. Parallel Distributed Syst., October, 2023

Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning.
IEEE Trans. Mob. Comput., October, 2023

Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing.
IEEE Trans. Mob. Comput., September, 2023

AFall: Wi-Fi-Based Device-Free Fall Detection System Using Spatial Angle of Arrival.
IEEE Trans. Mob. Comput., August, 2023

Accelerating Federated Learning With Cluster Construction and Hierarchical Aggregation.
IEEE Trans. Mob. Comput., July, 2023

AutoProfile: An Intelligent Profile Switching System for Smartphones.
IEEE Trans. Mob. Comput., June, 2023

Adaptive Batch Size for Federated Learning in Resource-Constrained Edge Computing.
IEEE Trans. Mob. Comput., 2023

Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing.
IEEE Trans. Mob. Comput., 2023

Efficient Semi-Supervised Federated Learning for Heterogeneous Participants.
CoRR, 2023

CoopFL: Accelerating federated learning with DNN partitioning and offloading in heterogeneous edge computing.
Comput. Networks, 2023

Enhanced Federated Learning with Adaptive Block-wise Regularization and Knowledge Distillation.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression.
Proceedings of the IEEE INFOCOM 2023, 2023

Enhancing Decentralized Federated Learning for Non-IID Data on Heterogeneous Devices.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Attention-Based Gait Recognition and Walking Direction Estimation in Wi-Fi Networks.
IEEE Trans. Mob. Comput., 2022

Joint Data Collection and Resource Allocation for Distributed Machine Learning at the Edge.
IEEE Trans. Mob. Comput., 2022

Decentralized Machine Learning Through Experience-Driven Method in Edge Networks.
IEEE J. Sel. Areas Commun., 2022

Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning.
CoRR, 2022

Decentralized Federated Learning with Data Feature Transmission and Neighbor Selection.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

Enhancing Federated Learning with In-Cloud Unlabeled Data.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

FedMP: Federated Learning through Adaptive Model Pruning in Heterogeneous Edge Computing.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing.
IEEE J. Sel. Areas Commun., 2021

Communication-efficient asynchronous federated learning in resource-constrained edge computing.
Comput. Networks, 2021

DNN Inference Acceleration with Partitioning and Early Exiting in Edge Computing.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Learning-Driven Decentralized Machine Learning in Resource-Constrained Wireless Edge Computing.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Environment-Independent Wi-Fi Human Activity Recognition with Adversarial Network.
Proceedings of the IEEE International Conference on Acoustics, 2021

2019
Automated Essay Scoring based on Two-Stage Learning.
CoRR, 2019

2018
DopGest: Dual-Frequency Based Ultrasonic Gesture Recognition.
Proceedings of the 2018 IEEE SmartWorld, 2018

Link Us if You Can: Enabling Unlinkable Communication on the Internet.
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

TRQED: Secure and Fast Tree-Based Private Range Queries over Encrypted Cloud.
Proceedings of the Database Systems for Advanced Applications, 2018

Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
WiStep: Device-free Step Counting with WiFi Signals.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Implicitly Incorporating Morphological Information into Word Embedding.
CoRR, 2017

AIS: An Inaudible Guider in Your Smartphone.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

2016
WiCare: A Synthesized Healthcare Service System Based on WiFi Signals.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

WiFinger: talk to your smart devices with finger-grained gesture.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

A Real Time Wireless Interactive Multimedia System.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016


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