About

Hello, I'm Yiqiu (pronounced "yee-chiu"). I work on compilers for machine learning accelerators at Apple, focusing on inference performance and model enablement. My work has spanned new hardware bring-up through production.

I completed my PhD in Computer Science at MIT, advised by Prof. Julian Shun at CSAIL, on parallel algorithms for clustering and computational geometry that are both provably efficient and fast in practice. I earned my MS and BS at Rice University, where I worked with Prof. Anshumali Shrivastava on GPU algorithms for large-scale machine learning.

Selected Publications

Theoretically Efficient and Practical Parallel DBSCAN

• Yiqiu Wang, Yan Gu, and Julian Shun

• Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2020

• Code · Paper

Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering

• Yiqiu Wang, Shangdi Yu, Yan Gu, and Julian Shun

• Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2021

• Code · Paper

ParGeo: A Library for Parallel Computational Geometry

• Yiqiu Wang, Rahul Yesantharao, Shangdi Yu, Laxman Dhulipala, Yan Gu, and Julian Shun

• Proceedings of the European Symposium on Algorithms (ESA), 2022

• Code · Paper