The Grainger College of Engineering
IBM-Illinois Discovery Accelerator Institute

Yongjoo Park

Yongjoo Park
Yongjoo Park
Assistant Professor, Siebel School of Computing and Data Science

Primary Research Area

  • Data and Information Systems

Research Areas

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Biography

Yongjoo Park is an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. At UIUC, he is part of Data and Information Systems (DAIS) Research Lab. Also, Yongjoo is a co-founder and Chief Scientist of Keebo, Inc., a start-up company he co-founded based on his Ph.D. research. Yongjoo's research interest is in building intelligent data-intensive systems using statistical and Artificial Intelligence techniques. Yongjoo obtained a Ph.D. in Computer Science and Engineering from the University of Michigan, Ann Arbor in 2017. His dissertation received the 2018 SIGMOD Jim Gray Dissertation runner-up award.

Education

  • Ph.D. in Computer Science and Engineering, University of Michigan, Ann Arbor, 2017
  • M.S. in Computer Science, University of Michigan, Ann Arbor, 2013
  • B.S. in Electrical Engineering, Seoul National University, 2009

Academic Positions

  • Assistant Professor, Department of Computer Science, University of Illinois Urbana-Champaign, 2021 - Present

Other Professional Employment

  • Chief Scientist, Keebo, Inc., Sep. 2022 - Present
  • Co-founder and CTO, Keebo, Inc., Aug. 2019 - Aug. 2022

Research Interests

  • Systems for analytics and machine learning
  • A.I. Data-intensive Systems

Primary Research Area

  • Data and Information Systems

Research Areas

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Articles in Conference Proceedings

  • Shengya Huang, Zhaoheng Li, Derek Werner, Yongjoo Park. “MojoFrame: Dataframe Library in Mojo Language.” ICDE’26: IEEE 40th International Conference on Data Engineering, 2026.
  • Raunak Shah, Zhaoheng Li, Yongjoo Park. “QStore: Quantization-Aware Compressed Model Storage.” PVLDB’26: Proceedings of the VLDB Endowment, 2026.
  • MingyuanWu, Jize Jiang, Haozhen Zheng, Meitang Li, Zhaoheng Li, Beitong Tian, Bo Chen, Yongjoo Park, Minjia Zhang, ChengXiang Zhai, Klara Nahrstedt. “Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Inference.” EMNLP’25: Conference on Empirical Methods in Natural Language Processing, 2025.
  • Zhaoheng Li, Silu Huang, Wei Ding, Yongjoo Park, Jianjun Chen. “SIEVE: Effective Filtered Vector Search with Collection of Indexes.” PVLDB’25: Proceedings of the VLDB Endowment, 2025.
  • Shuning Zhang, Yongjoo Park “PBE Meets LLM: When Few Examples Aren’t Few-Shot Enough.” QDB@VLDB’25: International Workshop on Quality in Databases.
  • Ipoom Jeong, Jinghan Huang, Chuxuan Hu, Dohyun Park, Jaeyoung Kang, Nam Sung Kim, and Yongjoo Park. “UPP: Universal Predicate Pushdown to Smart Storage.” ISCA’25: 2025 International Symposium on Computer Architecture.
  • Zhaoheng Li, Supawit Chockchowwat, Hanxi Fang, and Yongjoo Park. “Demo of Kishu: Time-Traveling for Computational Notebooks.” SIGMOD’25: Proceedings of the ACM on Management of Data, Berlin, Germany, 2025. (demo)
  • Jaeyoung Kang, Qirong Xia, Ipoom Jeong, Yongjoo Park, and Nam Sung Kim. “Intel® In-Memory Analytics Accelerator: Performance Characterization and Guidelines.” ISPASS’25: IEEE International Symposium on Performance Analysis of Systems and Software, 2025. (Awarded: Best paper nominee, Distinguished Artifact Award)
  • Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, and Yongjoo Park, "Large-scale Evaluation of Notebook Checkpointing with AI Agents." CHI'25 Late-Breaking Work: In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, pp. 1-8, 2025.
  • Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, and Yongjoo Park, "Enhancing Computational Notebooks with Code+ Data Space Versioning." CHI'25: In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pp. 1-17, 2025.
  • Zhaoheng LI, Supawit Chockchowwat, Ribhav Sahu, Areet Sheth, and Yongjoo Park. "Kishu: Time-Traveling for Computational Notebooks." PVLDB'25: Proceedings of the VLDB Endowment, 2025. (Also presented at PyConUS'25 and JupyterCon'25.)
  • Zhaoheng Li, Supawit Chockchowwat, Hanxi Fang, Ribhav Sahu, Sumay Thakurdesai, Kantanat Pridaphatrakun, Yongjoo Park, "Demonstration of ElasticNotebook: Migrating Live Computational Notebook States." SIGMOD'24: Proceedings of the ACM on Management of Data, Santiago, Chile, 2024. (demo) (Acceptance Rate Unavailable; Average Rate: 20%)
  • Zhaoheng Li, Pranav Gor, Rahul Prabhu, Hui Yu, Yuzhou Mao, and Yongjoo Park "ElasticNotebook: Enabling Live Migration for Computational Notebooks." VLDB'24: 50th International Conference on Very Large Data Bases, 2024. (2024 Acceptance Rate Unavailable, Average Rate: 18.6%)
  • Supawit Chockchowwat, Wenjie Liu, and Yongjoo Park. "AirIndex: Versatile Index Tuning Through Data and Storage." SIGMOD'24: Proceedings of the ACM on Management of Data, Santiago, Chile, 2024. (2024 Acceptance Rate Unavailable; Average Rate: 20%)
  • Ipoom Jeong, Jiaqi Lou, Yongseok Son, Yongjoo Park, Yifan Yuan, and Nam Sung Kim. "LADIO: Leakage-Aware Direct I/O for I/O-IntensiveWorkloads." CAL'23: IEEE Computer Architecture Letters, 2023. (short) (Average Acceptance Rate: 20%)
  • Supawit Chockchowwat, Zhaoheng Li, and Yongjoo Park. "Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility." DEEM'23: In Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, Seattle, USA, 2023 (Acceptance Rate: N/A)
  • Barzan Mozafari, Radu Alexandru Burcuta, Alan Cabrera, Andrei Constantin, Derek Francis, David Grömling, Alekh Jindal, Maciej Konkolowicz, Valentin Marian Spac, Yongjoo Park, Russell Razo Carranzo, Nicholas Richardson, Abhishek Roy, Aayushi Srivastava, Isha Tarte, Brian Westphal, and Chi Zhang. "Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning." SIGMOD'23: In Companion of the 2023 International Conference on Management of Data, 2023. (industry track) (Acceptance Rate: N/A)
  • Zhaoheng Li, Xinyu Pi, Yongjoo Park. S/C: Speeding Up Data Materialization with Bounded Memory. ICDE 2023 (research): 39th International Conference on Data Engineering, Anaheim, CA, USA, 2023. (Acceptance Rate: 30.6%)
  • Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park. A Step Toward Deep Online Aggregation. SIGMOD 2023 (research): Proceedings of the ACM on Management of Data, Seattle, USA, 2023. (Acceptance Rate: 27.2%) Awarded "Artifacts Available," "Artifacts Evaluated," and "Results Reproduced" badges.
  • Supawit Chockchowwat, Wenjie Liu, Yongjoo Park. Automatically Finding Optimal Index Structure. AIDB Workshop at VLDB 2022 (research): 4th International Workshop on Applied AI for Database Systems and Applications, Sydney, Australia, 2022. (Acceptance Rate: N/A)
  • Sophia Yang, Yongjoo Park, and Abdussalam Alawini. The Effects of Teaching Modality on Collaborative Learning: A Controlled Study. FIE 2022 (research): The Frontiers in Education, Uppsala, Sweden, 2022. (Acceptance Rate: 55%)
  • Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park. Airphant: Cloud-oriented Document Indexing. ICDE 2022 (research): 38th International Conference on Data Engineering, Kuala Lumpur, Malaysia, 2022. (Acceptance Rate: 27%)
  • Johes Bater, Yongjoo Park, Xi He, Xiao Wang, Jennie Rogers. "SAQE: Practical Privacy-Preserving Approximate Query Processing for Data Federations." Proceedings of the VLDB Endowment 13.12, 2020: 2691-2705. (Acceptance Rate: 24.8%)
  • Yongjoo Park, Shucheng Zhang, Barzan Mozafari. "QuickSel: Quick Selectivity Learning with Mixture Models." SIGMOD'20: ACM SIGMOD/PODS International Conference on Management of Data. Portland, OR, USA, 2020. (Acceptance Rate: 26.9%)
  • Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari. "BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees." SIGMOD'19 (research): ACM SIGMOD/PODS International Conference on Management of Data. Amsterdam, The Netherlands, 2019. (Acceptance Rate: 20.5%)
  • Yongjoo Park, Barzan Mozafari, Joseph Sorenson, Junhao Wang. VerdictDB: Universalizing Approximate Query Processing. SIGMOD'18: ACM SIGMOD/PODS International Conference on Management of Data. Houston, TX, USA, 2018. (Acceptance Rate: 19.5%)
  • Wen He, Yongjoo Park, Idris Hanafi, Jacob Yatvitskiy, Barzan Mozafari. "Demonstration of VerdictDB, the Platform-Independent AQP System." SIGMOD'18: ACM SIGMOD/PODS International Conference on Management of Data. Houston, TX, USA, 2018. (Acceptance Rate: N/A)
  • Yongjoo Park, Amhad Shahab Tajik, Michael Cafarella, Barzan Mozafari. "Database Learning: Toward a Database System that Becomes Smarter Over Time." SIGMOD'17: ACM SIGMOD/PODS International Conference on Management of Data. Chicago, IL, USA, 2017. ( Acceptance Rate: 19.6%)
  • Yongjoo Park. "Active Database Learning." CIDR'17: The biennial Conference on Innovative Data Systems Research. Chaminade, CA, USA, 2017. (Acceptance Rate: N/A)
  • Yongjoo Park, Michael Cafarella, Barzan Mozafari. "Visualization-Aware Sampling for Very Large Databases." ICDE'16: IEEE 32nd International Conference on Data Engineering. Helsinki, Finland, 2016. (2016 Acceptance Rate Unavailable; Average Rate: 19.1%)
  • Yongjoo Park, Michael Cafarella, Barzan Mozafari. "Neighbor-Sensitive Hashing." PVLDB'15: Proceedings of the VLDB Endowment 9.3, 2015: 144-155. (Acceptance Rate: 35.5%)
  • Michael Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang. "Brainwash: A Data System for Feature Engineering." CIDR'13: The biennial Conference on Innovative Data Systems Research. Asilomar, CA, USA, 2013. (Acceptance Rate: N/A)

Patents

  • Alekh Jindal, Barzan Mozafari, Yongjoo Park, David Wolfgang Grömling, Brian Westphal, and Alan D Cabrera. "Managed tuning for data clouds." (US Patent 11,693,857, 2023)
  • Alekh Jindal, Barzan Mozafari, Yongjoo Park, Brian Westphal, Shi Qiao, Matthew Larson, Advait Abhay Dixit. Platform Agnostic Query Acceleration (United States Patent 11567936)

Honors

  • ACM SIGMOD Best Demo Award (2025)
  • National Science Foundation CAREER Award (2025)
  • ISPASS Best Paper Honorable Mention and Distinguished Artifact Award (2025)
  • ACM SIGMOD Best Artifact Award Honorable Mention (2024)
  • Illinois Teachers Ranked as Excellent (Fall 2023)
  • Illinois Teachers Ranked as Excellent (Fall 2022)
  • Illinois Engineering Council Outstanding Advising Award (2021)
  • ACM SIGMOD Jim Gray Dissertation Award Honorable Mention (2018)
  • ACM SIGMOD Student Travel Award (2017)

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