Yang Xu

Yang Xu

Associate Researcher

School of Computer Science and Technology

University of Science and Technology of China (USTC)

USTC Intelligent Network and System Group (USTC-INT)

Research Interests: Computer Networks, Edge Intelligence, Federated LLMs

Google Scholar

Yang Xu is currently an Associate Researcher with the School of Computer Science and Technology, University of Science and Technology of China (USTC), and a member of the USTC-INT Group. He received the B.S. degree from the Wuhan University of Technology in 2014 and the Ph.D. degree in computer science and technology from the University of Science and Technology of China in 2019. His primary research interests include the Internet of Things, edge computing, federated learning, edge intelligence, and federated LLMs. His goal is to advance knowledge in these areas through innovative, theory-backed research.

News

[Jan. 2025] One paper about federated learning with layer-wise aggregation over non-IID data was accepted by TSC'25 (CCF A). Congratulations to Ying Zhu and Zhiyuan!

[Dec. 2024] Awesome! One National Science Foundation of China (NSFC) Project for Doctoral Students was granted! Congratulations to Yunming again!

[Oct. 2024] One paper about training slimmable neural network with federated learning was accepted by ToN'24 (CCF A). Congratulations to Yunming!

[Aug. 2024] One National Science Foundation of China (NSFC) Project was granted!

[Jun. 2024] One paper about parallel split federated learning was accepted by ACM MobiCom 2024 (CCF A). Congratulations to Yunming!

[May 2024] One paper about asynchronous decentralized federated learning was accepted by ToN'24 (CCF A). Congratulations to Yunming!

Publications

Selected Conference Papers

  • [ACM Mobicom'24] Yunming Liao, *Yang Xu, *Hongli Xu, Zhiwei Yao, Liusheng Huang, Chunming Qiao, "ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues". The 30th Annual International Conference On Mobile Computing And Networking (MobiCom), 2024. (CCF A)
  • [IEEE ICDE'24] Yunming Liao, *Yang Xu, Hongli Xu, Lun Wang, Zhiwei Yao, Chunming Qiao, "MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation". IEEE International Conference on Data Engineering (ICDE), 2024. (CCF A)
  • [IEEE ICDE'24] Zhida Jiang, *Yang Xu, *Hongli Xu, Zhiyuan Wang, Chunming Qiao, "Clients Help Clients: Alternating Collaboration for Semi-Supervised Federated Learning". IEEE International Conference on Data Engineering (ICDE), 2024. (CCF A)
  • [IEEE ICDE'23] Min Chen, *Yang Xu, *Hongli Xu, Liusheng Huang, "Enhancing Decentralized Federated Learning for Non-IID Data on Heterogenous Devices". IEEE International Conference on Data Engineering (ICDE), 2023. (CCF A)
  • [IEEE INFOCOM'23] Zhida Jiang, *Yang Xu, *Hongli Xu, Zhiyuan Wang, Chen Qian, "Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression". INFOCOM, 2023. (CCF A)
  • [IEEE INFOCOM'23] Yunming Liao, *Yang Xu, Hongli Xu, Lun Wang, Chen Qian, "Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning". INFOCOM, 2023. (CCF A)
  • [IEEE ICDE'22] Jianchun Liu, *Yang Xu, *Hongli Xu, Yunming Liao, Zhiyuan Wang, He Huang, "Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing". IEEE International Conference on Data Engineering (ICDE), 2022. (CCF A)
  • [IEEE ICDE'22] Zhida Jiang, *Yang Xu, *Hongli Xu, Zhiyuan Wang, Chunming Qiao, Yangming Zhao, "FedMP: Federated Learning through Adaptive Model Pruning in Heterogeneous Edge Computing". IEEE International Conference on Data Engineering (ICDE), 2022. (CCF A)
  • [IEEE ICDE'22] Lun Wang, *Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang, "Enhancing Federated Learning with In-Cloud Unlabeled Data". IEEE International Conference on Data Engineering (ICDE), 2022. (CCF A)

Selected Journal Papers

  • [IEEE TSC'25] Yang Xu, Ying Zhu, Zhiyuan Wang, *Hongli Xu, Yunming Liao, "Enhancing Federated Learning through Layer-wise Aggregation over Non-IID Data". IEEE Transactions on Services Computing (TSC), 2025. (CCF A)
  • [IEEE/ACM ToN'24] Yang Xu, Yunming Liao, *Hongli Xu, Zhiyuan Wang, Lun Wang, Jianchun Liu, Chen Qian, "FedSNN: Training Slimmable Neural Network with Federated Learning in Edge Computing". IEEE/ACM Transactions on Networking (ToN), 2024. (CCF A)
  • [IEEE TMC'24] Yang Xu, Yunming Liao, Lun Wang, *Hongli Xu, Zhida Jiang, Wuyang Zhang, "Overcoming Noisy Labels and Non-IID Data in Edge Federated Learning". IEEE Transactions on Mobile Computing (TMC), 2024. (CCF A)
  • [IEEE/ACM ToN'24] Yunming Liao, *Yang Xu, Hongli Xu, Min Chen, Lun Wang, Chunming Qiao, "Asynchronous Decentralized Federated Learning for Heterogeneous Devices". IEEE/ACM Transactions on Networking (ToN), 2024. (CCF A)
  • [IEEE TMC'24] Suo Chen, *Yang Xu, Hongli Xu, Zhenguo Ma, Zhiyuan Wang, "Enhancing Decentralized and Personalized Federated Learning with Topology Construction". IEEE Transactions on Mobile Computing (TMC), 2024. (CCF A)
  • [IEEE TMC'24] Zhida Jiang, *Yang Xu, Hongli Xu, Zhiyuan Wang, Jianchun Liu, Chunming Qiao, "Semi-Supervised Decentralized Machine Learning with Device-to-Device Cooperation". IEEE Transactions on Mobile Computing (TMC), 2024. (CCF A)
  • [IEEE TMC'24] Yunming Liao, *Yang Xu, Hongli Xu, Lun Wang, Chen Qian, Chunming Qiao, "Decentralized Federated Learning with Adaptive Configuration for Heterogeneous Participants". IEEE Transactions on Mobile Computing (TMC), 2024. (CCF A)
  • [IEEE TPDS'23] Zhiyuan Wang, Hongli Xu, *Yang Xu, Zhida Jiang, Jianchun Liu, Suo Chen,"FAST: Enhancing Federated Learning through Adaptive Data Sampling and Local Training". IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023. (CCF A)
  • [IEEE TMC'23] Yang Xu, Zhida Jiang, *Hongli Xu, Zhiyuan Wang, Chen Qian, Chunming Qiao, Liusheng Huang "Federated Learning with Client Selection and Gradient Compression in Heterogeneous Edge Systems". IEEE Transactions on Mobile Computing (TMC), 2023. (CCF A)
  • [IEEE TMC'23] Yang Xu, *Zhenguo Ma, Hongli Xu, Suo Chen, Jianchun Liu, Yinxing Xue, "FedLC: Accelerating Asynchronous Federated Learning in Edge Computing". IEEE Transactions on Mobile Computing (TMC), 2023. (CCF A)
  • [IEEE/ACM ToN'23] Yunming Liao, *Yang Xu, Hongli Xu, Zhiwei Yao, Lun Wang, Chunming Qiao, "Accelerating Federated Learning with Data and Model Parallelism in Edge Computing". IEEE/ACM Transactions on Networking (ToN), 2023. (CCF A)
  • [IEEE TPDS'23] Zhida Jiang, *Yang Xu, Hongli Xu, Lun Wang, Chunming Qiao, Liusheng Huang, "Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning". IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023. (CCF A)
  • [IEEE TMC'23] Yang Xu, Lun Wang, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang, "Enhancing Federated Learning with Server-Side Unlabeled Data by Adaptive Client and Data Selection". IEEE Transactions on Mobile Computing (TMC), 2023. (CCF A)
  • [IEEE TMC'22] Zhenguo Ma, *Yang Xu, Hongli Xu, Jianchun Liu, Yinxing Xue, "Like Attracts Like: Personalized Federated Learning in Decentralized Edge Computing". IEEE Transactions on Mobile Computing (TMC), 2022. (CCF A)
  • [IEEE TMC'22] Yang Xu, *Wei Yang, Min Chen, Sheng Chen, and Liusheng Huang, "Attention-Based Gait Recognition and Walking Direction Estimation in Wi-Fi Networks". IEEE Transactions on Mobile Computing (TMC), 2022. (CCF A)
  • [IEEE TMC'22] Suo Chen, *Yang Xu, Hongli Xu, Zhida Jiang, Chunming Qiao, "Decentralized Federated Learning with Intermediate Results in Mobile Edge Computing". IEEE Transactions on Mobile Computing (TMC), 2022. (CCF A)
  • [IEEE TMC'22] Yang Xu, Yunming Liao, *Hongli Xu, Zhenguo Ma, Lun Wang, Jianchun Liu, "Adaptive Control of Local Updating and Model Compression for Efficient Federated Learning". IEEE Transactions on Mobile Computing (TMC), 2022. (CCF A)
  • [IEEE TMC'22] Lun Wang, *Yang Xu, Hongli Xu, Min Chen, Liusheng Huang, "Accelerating Decentralized Federated Learning in Heterogeneous Edge Computing". IEEE Transactions on Mobile Computing (TMC), 2022. (CCF A)

Projects

  • Research on Model-Parallel Training Based on Device-Cloud Collaboration - Type: Research - Funding: National Science Foundation - Period: 2025-2028
  • Research on Key Technologies of Human Walking Wireless Sensing aided by Terminal-Edge Collaboration - Type: Research - Funding: National Science Foundation - Period: 2022-2024

Teaching

  • Mathematical Logic - Semester: Spring 2023, 2024 - West Campus, USTC
  • Discrte Mathematics - Semester: Spring 2022 (with Prof. Hongli Xu)- Online
  • Algebraic Structure - Semester: Spring 2021, 2022 (with Prof. Hongli Xu) - Online
  • Discrte Mathematics and Its Applications - Semester: Fall 2019 - Suzhou Institute, USTC