Name:Xueying Wang

Bio:

Xueying Wang is an Assistant Professor from Beijing University of Posts and Telecommunications. Wang Xueying focuses on parallel computing and compiler optimization for machine learning applications, including graph compilation optimization (TACO, CCF-A, 2025), quantized Winograd convolution optimization(TACO, CCF-A, 2024), hardware-aware NAS tuning (JSA, CCF-B, 2023), memory scheduling system(TACO, CCF-A, 2023), and operator fusion(Euro-par, CCF-B, 2020). Wang Xueying is also the reviewer for Neurocomputing, Journal of Systems Architecture, IEEE Cluster, IEEE TCAD, and other journals. Wang Xueying is passionate about exploring how to improve parallel computing performance to solve complex computational problems and how compiler optimizations can further enhance the performance of supercomputing systems.

Country:China

Affiliation:Beijing University of Posts and Telecommunications

Research interests:Compiler Optimization, Parallel Computing