Boyi Liu | 刘博一 Ph.D. student School of Computer Science and Engineering, Beihang University Department of Data Science, City University of Hong Kong [GitHub] [DBLP] [Google Scholar] Email: boyliu [at] buaa [dot] edu [dot] cn

Biography

Boyi Liu is currently a third year Ph.D. student at the Beihang University (BUAA), under the supervision of Prof. Yongxin Tong. He is also a joint Ph.D student at the City University of Hong Kong (CityUHK), co-supervised by Prof. Zimu Zhou. Currently he is based at City University of Hong Kong. His research interests include:

• Cross-Device Federated Learning

• Federated LLM (Fine-tuning, RAG, et al.)

• Spatial Data Science

Publications

1. Asynchronous Federated Learning Library and Benchmark with AFL-Lib
   Boyi Liu, Shuyuan Li, Zimu Zhou, Shuo Kang, Yiming Ma, Yongxin Tong
   ACM Annual International Conference on Mobile Computing and Networking (MOBICOM), 2025 (CCF-A)
   [Paper] [Code]
2. Factor for Agent (FAgent): Collaborative Learning of Large and Small Language Models
   Shuyuan Li, Yongxin Tong, Qiang Yang, Zimu Zhou, Boyi Liu
   Computing Magazine of the CCF (CCCF), 2025
   [Paper]
3. FedAIMS: Personalized Federated Learning with Adaptive Intermediate Supervision
   Shuyuan Li, Boyi Liu, Zimu Zhou, Jin Dong
   Frontiers of Computer Science (FCS), 2025 (CCF-B)
   [Paper] [Code]
4. DarkDistill: Difficulty-Aligned Federated Early-Exit Network Training on Heterogeneous Devices
   Lehao Qu, Shuyuan Li, Zimu Zhou, Boyi Liu, Yi Xu, Yongxin Tong
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025 (CCF-A)
   [Paper] [Slides] [Poster]
5. CASA: Clustered Federated Learning with Asynchronous Clients
   Boyi Liu, Yiming Ma, Zimu Zhou, Yexuan Shi, Shuyuan Li, Yongxin Tong
   ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 (CCF-A)
   [Paper] [Slides] [Poster]
6. Federated Computing: Query, Learning, and Beyond
   Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Boyi Liu, Yexuan Shi, Shuyuan Li, Ke Xu, Weifeng Lv
   IEEE Data Engineering Bulletin (DEB), 2023
   [Paper]
7. Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
   Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun
   International Joint Conference on Artificial Intelligence (IJCAI), 2022 (CCF-A)
   [Paper] [Code]

News

• [2025/08] One paper for asynchronous federated learning was accepted by MobiCom 2025 (Poster Session).

• [2025/07] One paper for personalized federated learning was accepted by Frontiers of Computer Science (FCS).

• [2025/05] One paper for model heterogeneous federated learning was accepted by KDD 2025.

• [2024/06] I was admitted to the Joint Ph.D. Programme of City University of Hong Kong (supervisor: Prof. Zimu Zhou).

• [2024/05] One paper for clustered federated learning was accepted by KDD 2024.

Honors & Awards

• First Class Scholarship of Beihang University, 2024/11

• Graduate Freshman Scholarship of Beihang University, 2023/09

• Outstanding Graduates of Beijing, 2023/05

Academic Services

• Reviewer for Journals

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)

  • IEEE Transactions on Big Data (TBD)

  • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)

• Reviewer for Conferences

  • KDD 2026/2025/2024

  • ICLR 2026

  • ICML 2025

  • NeurIPS 2025

Educations

• Joint Ph.D. Department of Data Science, City University of Hong Kong, 2024 - Present

• Ph.D. School of Computer Science and Engineering, Beihang University, 2023 - Present

• B.E. School of Computer Science and Engineering, Beihang University, 2019 - 2023

Teaching

I was teaching assistant in:

• Algorithm Design and Analysis, 2024/2023 Fall, BUAA

• Object Oriented Designand Construction, 2022 Spring, BUAA