I’m a master’s student at the Department of Computer Science, University of Illinois at Urbana-Champaign. Currently I work with Prof. Vikram Adve on Compilation of Deep Learning models with HPVM/LLVM on heterogeneous systems.
I used to be an intern at PurPL Lab at Purdue, working with Prof. Tiark Rompf on Native Distributed Query Compilation of Data-Intensive Systems (Flare - an Accelerator for Apache Spark) with Lightweight Modular Staging - LMS. I did my bachelor at PolyU, where I worked with Prof. Zili Shao on Embedded Systems and Key-Value stores.
Recent Work
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Leyenda: An Adaptive, Hybrid Sorting Algorithm for Large Scale Data with Limited Memory
Yuanjing Shi, Zhaoxing Li
ACM SIGMOD Programming Contest (SIGMOD’ 19), 2019.
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An Efficient LSM-tree-based SQLite-like Database Engine for Mobile Devices
Zhaoyan Shen, Yuanjing Shi, Zili Shao, Yong Guan
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2018.
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SQLiteKV: An Efficient LSM-tree-based Lightweight Database Engine for Mobile Devices
Yuanjing Shi, Zhaoyan Shen, Zili Shao
23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 2018.