Boyi Liu | 刘博一 Ph.D. student School of Computer Science and Engineering Beihang University [GitHub] [DBLP] Email: boyliu [at] buaa [dot] edu [dot] cn

Biography

Boyi Liu is currently a second 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. His research interests include cross-device federated learning and spatial data science.

Publications

1. [KDD 2025] 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, 2025 (CCF-A)
   [pdf]
2. [KDD 2024] 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, 2024 (CCF-A)
   [pdf] [slides] [poster]
3. [DEB 2023] 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, 2023
   [pdf]
4. [IJCAI 2022] 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, 2022 (CCF-A)
   [pdf] [code]

News

• [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 (top 5%), 2023/05

Academic Services

• Reviewer for Journals

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)

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

• Reviewer for Conferences

  • KDD 2025/2024

  • ICML 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