CS Ph.D. Student @ University of Illinois Urbana-Champaign
Thomas M. Siebel Center, Room 2119
201 N. Goodwin Ave.
Urbana, IL 61801
I am a fourth-year CS PhD student at the University of Illinois at Urbana-Champaign (UIUC) advised by Prof. Yongjoo Park. I am a member of CreateLab and DAIS. My research interests are Systems for AI and ML, Interactive data analytics, Vector databases, and Graph algorithms.
I currently work extensively with computational notebooks and vector indexing; my work aims to bridge established database principles with these emerging technologies used extensively in exploratory AI to enhance user experience.
I dedicate my summers to internships. I have recently interned in ByteDance’s System Infrastructure Lab and worked on indexing for filtered vector search. I have also interned four times at Google, working on efficient group by for structs in Google BigQuery, SQL profiling with BPF in Google S2Infra, ads ranking algorithms in Google Local Services, and ad request monitoring pipelines in Google ContentAds.
During my undergraduate study at UIUC, I was fortunate to get early exposure to research, starting with a fun side project of DOTA2 match outcome prediction in the Esports Analytics Lab. I then proceeded with involved works: Deep Steerable Graph Generation with Prof. Carl Yang, and my bachelor’s thesis “REFORM: Fast and Adaptive Solution for Subteam Replacement” advised by Prof. Hanghang Tong.
@article{li2024kishu,title={Kishu: Time-Traveling for Computational Notebooks},author={Li, Zhaoheng and Chockchowwat, Supawit and Sahu, Ribhav and Sheth, Areet and Park, Yongjoo},journal={Proceedings of the VLDB Endowment},volume={18},number={4},pages={970 - 985},year={2024},publisher={VLDB Endowment},}
@article{li2023elasticnotebook,title={ElasticNotebook: Enabling Live Migration for Computational Notebooks},author={Li, Zhaoheng and Gor, Pranav and Prabhu, Rahul and Yu, Hui and Mao, Yuzhou and Park, Yongjoo},journal={Proceedings of the VLDB Endowment},volume={17},number={2},pages={119--133},year={2023},publisher={VLDB Endowment},}
@inproceedings{li2023s,title={S/C: Speeding up Data Materialization with Bounded Memory},author={Li, Zhaoheng and Pi, Xinyu and Park, Yongjoo},booktitle={39th IEEE International Conference on Data Engineering, ICDE 2023},pages={1981--1994},year={2023},organization={IEEE Computer Society},}
Research Projects
Here are some projects I built that I conveniently have demos for:
Kishu: Versioned and Undoable Notebook System
Motivated by my frustrations with using Colab for research when I was an undergrad, Kishu is a Jupyter-based notebook system where users can undo cell executions to 'un-drop' dataframe columns, restore overwritten models, etc.
Hobbies
Badminton, Biking, Competitive DOTA2 (proud member of the UIUC DOTA2 varsity team during the 2017-2018 academic year), Rhythm Games.
