Lei Yang

  Postdoctoral Resercher 

 

 

Short bio

Lei Yang received bachelor’s degree in Telecommunication Engineering from Beijing University of Posts and Telecommunications in 2017, and bachelor’s joint degree in Economics from Peking University.

He is eceived his PhD degree in School of Electronic Engineering and Computer Science, Peking University in 2022.

Now he is in Huawei

 

Research Interest

Machine Learning for Database: Optimizing the performance of relational databases or graph databases by using machine learning methods.

Machine Learning for complicated graph algorithm: Designing and implementing effective and efficient learning-based algorithms.

 

Publications

Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines,

by L. Yang, H. Wu, T. Zhang, X. Cheng, F. Li, L. Zou, Y. Wang, R. Chen, J. Wang, G. Huang. In Proceedings of 46th International Conference on Very Large Data Bases (VLDB 2020), pages 1976-1989, Tokyo, Japan, Sept. 2020.

 

Noah: Neural-optimized A* Search Algorithm for Graph Edit Distance Computation,

by L. Yang and L. Zou. In 37th IEEE International Conference on Data Engineering (ICDE 2021), pages TBD, Crete, Greece, Apr. 2021.

 

Contact Information

Email：yangop8@pku.edu.cn