Boyi Liu | 刘博一 Ph.D. student School of Computer Science and Engineering Beihang University GitHub Email: boyliu@buaa.edu.cn / boy.liu@my.cityu.edu.hk

Biography

Boyi Liu is currently a second year Ph.D. student at the School of Computer Science and Engineering, Beihang University (BUAA), under the supervision of Prof. Yongxin Tong. He is also a joint Ph.D student at the Department of Data Science, City University of Hong Kong (CityU), under the supervision of Prof. Zimu Zhou. He received his B.E. in 2023 at School of Computer Science and Engineering, Beihang University (BUAA).

Research Interests

• Heterogeneous Federated Leraning

• Federated LLM Fine-tining

• Edge AI

Publications

1. [KDD'24] Boyi Liu, Yiming Ma, Zimu Zhou, Yexuan Shi, Shuyuan Li, Yongxin Tong "CASA: Clustered Federated Learning with Asynchronous Clients", in Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, Aug 25 - Aug 29, 2024. [pdf]

2. [DEB'23] Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Boyi Liu, Yexuan Shi, Shuyuan Li, Ke Xu, Weifeng Lv, "Federated Computing: Query, Learning, and Beyond", IEEE Data Engineering Bulletin, 46(1): 9-26, 2023. [pdf]

3. [IJCAI'22] Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun, "Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction", in Proceedings of the 31st International Joint Conference on Artificial Intelligence, Vienna, Austria, July 23 - July 29, 2022. [pdf]

News

• [2024/08] I will attend KDD 2024, see you in Barcelona!

• [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 (rank top 5%), 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)

• Reviewer for Conferences

  • KDD 2024

Teaching

I was teaching assistant in

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

• Object Oriented Designand Construction, 2022 Spring, BUAA