About Me

I am Yushuai Ji, a third-year Ph.D. student at Wuhan University. I am fortunate to be advised by Prof. Sheng Wang and Prof. Zhiyong Peng in the Totem Database Lab. I am also grateful to collaborate with other excellent researchers, including Prof. Zhifeng Bao, Dr. Shixun Huang, Dr. Yuan Sun, and Dr. Zhiyu Chen. My research interests include vector databases (e.g., approximate nearest neighbor search and clustering-based indexing), clustering theory (e.g., balanced k-means for high-dimensional data), and machine learning for databases (e.g., learned indexes and index selection). In the future, I plan to explore the applications of clustering algorithms and query techniques in large language models, with a particular focus on Retrieval-Augmented Generation.

News

Our work, UnIS, was accepted to ICDE 2026. See you in Canada!

Publications

Yushuai Ji, Sheng Wang, Zhiyu Chen, Yuan Sun, and Zhiyong Peng. Updatable Balanced Index for Fast On-device Search with Auto-selection Model. The IEEE International Conference on Data Engineering (ICDE), 2026, to appear. (CCF A).

Yushuai Ji, Shengkun Zhu, Shixun Huang, Zepeng Liu, Sheng Wang, Zhiyong Peng. Federated and Balanced Clustering for High-dimensional Data. The International Conference on Very Large Data Bases (VLDB), 18(11): pp.4032-4044, 2025. (CCF A).

Yushuai Ji, Zepeng Liu, Sheng Wang, Yuan Sun, Zhiyong Peng. On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable k-means. The IEEE International Conference on Data Engineering (ICDE), pp.863-876, 2025. (CCF A).

Working Experience

• Soft Engineer, Alipay, China, April 2021 – July 2021

• Intern, Best Buy, U.S, January 2021 – April 2021

Education

• Ph.D. Student in Computer Science, Wuhan University, China, Sep 2022 – Present

• M.A. in Statistics, Washington University in St. Louis, U.S., Sep 2019 – Jun 2021

• Zhangzhidong Class, Huazhong Agricultural University & Wuhan University, China, Sep 2015 – Jun 2019

Outings & Activities