電子郵箱：xuyangcs@ustc.edu.cn
個人主頁：https://y-xu.github.io/
課題組主頁：https://int-ustc.github.io/
主要研究方向：物聯網、邊緣智能網絡、人工智能、聯邦大模型
許楊，男，安徽壽縣人。現為188金宝慱体育版 188滚球网 特任副研究員，碩士生導師。2014年於武漢理工大學188滚球网 獲學士學位，2019年於188bet亚洲体育博彩及真人 獲博士學位。2019年榮獲188金宝慱体育版 墨子傑出青年特資津貼一等資助，並入選中國科學院特別研究助理資助項目。主要從事物聯網、邊緣智能網絡、人工智能、聯邦大模型等方麵的研究。近年來，在計算機網絡、普適計算、人工智能、數據智能等領域發表高水平論文50餘篇，其中一作/通訊論文30餘篇（包括MobiCom、UbiComp、ACL、ICDE、INFOCOM、TMC等CCF A類論文31篇），2篇論文入選ESI高被引論文。其中，2016年發表在普適計算領域旗艦會議ACM UbiComp上的論文獲最佳論文獎。作為項目負責人主持國自然麵上項目、國自然青年項目、江蘇省自然青年項目、北京控製工程研究所橫向項目、188金宝慱体育版 青年創新基金項目各1項；作為技術負責人/項目骨幹參與國自然重點項目1項、國家重點研發計劃課題1項，以及華為合作項目2項。
獲獎情況：
2019年，188金宝慱体育版 “墨子傑出青年特資津貼”（一等）
2019年，“安徽省普通高校品學兼優畢業生”
2016年，普適計算領域旗艦會議ACM UbiComp最佳論文獎
代表性論著：
1. 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 )
2. 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 )
3. 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 )
4. 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 )
5. 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 )
6. 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 )
7. 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 )
8. 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 )
9. 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), 2023. ( CCF A )
10. 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 )
11. 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 )
12. 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 )
13. 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 )
14. 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 )
15. 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 )
16. 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 )
17. 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 )
18. Zhida Jiang, *Yang Xu, *Hongli Xu, Zhiyuan Wang, Chen Qian, Heterogeneity-Aware Federated Learning with Adaptive Client Selection and Gradient Compression, INFOCOM2023, 2022.05. ( CCF A )
19. Yunming Liao, *Yang Xu, Hongli Xu, Lun Wang, Chen Qian, Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning, INFOCOM2023, 2022.05. ( CCF A )
20. 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, 21(2): 465-479. ( CCF A )
21. 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 )
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 )
23. 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 )
24. 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 )
25. 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: 767-779. ( CCF A )
26. 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: 136-149. ( CCF A )
【更新於2024年11月】
