Comparison of Several Machine Learning Techniques in Pursuit-Evasion Games. - Jacky Baltes; Yongjoo Park (RoboCup, 2001)

Brainwash: A Data System for Feature Engineering. - Michael R. Anderson; Dolan Antenucci; Victor Bittorf; Matthew Burgess; Michael J. Cafarella; Arun Kumar 001; Feng Niu; Yongjoo Park; Christopher Ré; Ce Zhang 001 (CIDR, 2013)

Neighbor-Sensitive Hashing. - Yongjoo Park; Michael J. Cafarella; Barzan Mozafari (Proc. VLDB Endow., 2015)

Visualization-aware sampling for very large databases. - Yongjoo Park; Michael J. Cafarella; Barzan Mozafari (ICDE, 2016)

Active Database Learning. - Yongjoo Park (CIDR, 2017)

Database Learning: Toward a Database that Becomes Smarter Every Time. - Yongjoo Park; Ahmad Shahab Tajik; Michael J. Cafarella; Barzan Mozafari (SIGMOD Conference, 2017)

Fast Data Analytics by Learning. - Yongjoo Park (2017)

Demonstration of VerdictDB, the Platform-Independent AQP System. - Wen He; Yongjoo Park; Idris Hanafi; Jacob Yatvitskiy; Barzan Mozafari (SIGMOD Conference, 2018)

VerdictDB: Universalizing Approximate Query Processing. - Yongjoo Park; Barzan Mozafari; Joseph Sorenson; Junhao Wang (SIGMOD Conference, 2018)

BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees. - Yongjoo Park; Jingyi Qing; Xiaoyang Shen; Barzan Mozafari (SIGMOD Conference, 2019)

QuickSel: Quick Selectivity Learning with Mixture Models. - Yongjoo Park; Shucheng Zhong; Barzan Mozafari (SIGMOD Conference, 2020)

SAQE: Practical Privacy-Preserving Approximate Query Processing for Data Federations. - Johes Bater; Yongjoo Park; Xi He 001; Xiao Wang 012; Jennie Rogers (Proc. VLDB Endow., 2020)

The Effects of Teaching Modality on Collaborative Learning: A Controlled Study. - Sophia Yang; Yongjoo Park; Abdussalam Alawini (FIE, 2022)

Airphant: Cloud-oriented Document Indexing. - Supawit Chockchowwat; Chaitanya Sood; Yongjoo Park (ICDE, 2022)

Automatically Finding Optimal Index Structure. - Supawit Chockchowwat; Wenjie Liu 007; Yongjoo Park (CoRR, 2022)

Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility. - Supawit Chockchowwat; Zhaoheng Li; Yongjoo Park (DEEM@SIGMOD, 2023)

S/C: Speeding up Data Materialization with Bounded Memory. - Zhaoheng Li; Xinyu Pi; Yongjoo Park (ICDE, 2023)

Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning. - 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; et al. (SIGMOD Conference Companion, 2023)

LADIO: Leakage-Aware Direct I/O for I/O-Intensive Workloads. - Ipoom Jeong; Jiaqi Lou; Yongseok Son; Yongjoo Park; Yifan Yuan; Nam Sung Kim (IEEE Comput. Archit. Lett., 2023)

A Step Toward Deep Online Aggregation (Extended Version). - Nikhil Sheoran; Supawit Chockchowwat; Arav Chheda; Suwen Wang; Riya Verma; Yongjoo Park (CoRR, 2023)

ElasticNotebook: Enabling Live Migration for Computational Notebooks (Technical Report). - Zhaoheng Li; Pranav Gor; Rahul Prabhu; Hui Yu; Yuzhou Mao; Yongjoo Park (CoRR, 2023)

A Step Toward Deep Online Aggregation. - Nikhil Sheoran; Supawit Chockchowwat; Arav Chheda; Suwen Wang; Riya Verma; Yongjoo Park (Proc. ACM Manag. Data, 2023)

ElasticNotebook: Enabling Live Migration for Computational Notebooks. - Zhaoheng Li; Pranav Gor; Rahul Prabhu; Hui Yu; Yuzhou Mao; Yongjoo Park (Proc. VLDB Endow., 2023)

AirIndex: Versatile Index Tuning Through Data and Storage. - Supawit Chockchowwat; Wenjie Liu 007; Yongjoo Park (Proc. ACM Manag. Data, 2023)

Demonstration of ElasticNotebook: Migrating Live Computational Notebook States. - Zhaoheng Li; Supawit Chockchowwat; Hanxi Fang; Ribhav Sahu; Sumay Thakurdesai; Kantanat Pridaphatrakun; Yongjoo Park (SIGMOD Conference Companion, 2024)

Kishu: Time-Traveling for Computational Notebooks. - Zhaoheng Li; Supawit Chockchowwat; Areet Sheth; Yongjoo Park; Ribhav Sahu (Proc. VLDB Endow., 2024)

Enhancing Computational Notebooks with Code+Data Space Versioning. - Hanxi Fang; Supawit Chockchowwat; Hari Sundaram; Yongjoo Park (CHI, 2025)

Large-scale Evaluation of Notebook Checkpointing with AI Agents. - Hanxi Fang; Supawit Chockchowwat; Hari Sundaram; Yongjoo Park (CHI Extended Abstracts, 2025)

UPP: Universal Predicate Pushdown to Smart Storage. - Ipoom Jeong; Jinghan Huang 001; Chuxuan Hu; Dohyun Park; Jaeyoung Kang 004; Nam Sung Kim; Yongjoo Park (ISCA, 2025)

Intel ® in-Memory Analytics Accelerator: Performance Characterization and Guidelines. - Jaeyoung Kang 004; Qirong Xia; Ipoom Jeong; Yongjoo Park; Nam Sung Kim (ISPASS, 2025)

Demo of Kishu: Time-Traveling for Computational Notebooks. - Zhaoheng Li; Supawit Chockchowwat; Hanxi Fang; Yongjoo Park (SIGMOD Conference Companion, 2025)

Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Inference. - Mingyuan Wu; Jize Jiang; Haozhen Zheng; Meitang Li; Zhaoheng Li; Beitong Tian; Bo Chen 025; Yongjoo Park; Minjia Zhang; Chengxiang Zhai; Klara Nahrstedt (CoRR, 2025)

MojoFrame: Dataframe Library in Mojo Language. - Shengya Huang; Zhaoheng Li; Derek Werner; Yongjoo Park (CoRR, 2025)

QStore: Quantization-Aware Compressed Model Storage. - Raunak Shah; Zhaoheng Li; Yongjoo Park (CoRR, 2025)

PBE Meets LLM: When Few Examples Aren't Few-Shot Enough. - Shuning Zhang; Yongjoo Park (CoRR, 2025)

SIEVE: Effective Filtered Vector Search with Collection of Indexes. - Zhaoheng Li; Silu Huang; Wei Ding; Yongjoo Park; Jianjun Chen (CoRR, 2025)