Yongjoo Park

54 papers A* 6A 2B 1C 2Journal 32Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Inference.
CoRR
Mingyuan Wu, Jize Jiang, Haozhen Zheng, Meitang Li, Zhaoheng Li, Beitong Tian, Bo Chen, Yongjoo Park, Minjia Zhang, ChengXiang Zhai, Klara Nahrstedt
2025 A* conf
Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Reasoning.
EMNLP
Mingyuan Wu, Jize Jiang, Haozhen Zheng, Meitang Li, Zhaoheng Li, Beitong Tian, Bo Chen, Yongjoo Park, Minjia Zhang, ChengXiang Zhai, Klara Nahrstedt
2025 J jnl
Chipmink: Efficient Delta Identification for Massive Object Graph.
CoRR
Supawit Chockchowwat, Sumay Thakurdesai, Zhaoheng Li, Matthew Krafczyk, Yongjoo Park
2025 J jnl
Chipmink: Efficient Delta Identification for Massive Object Graphs.
Proc. VLDB Endow.
Supawit Chockchowwat, Sumay Thakurdesai, Zhaoheng Li, Matthew Krafczyk, Yongjoo Park
2025 J jnl
Cloud-Native Vector Search: A Comprehensive Performance Analysis.
CoRR
Zhaoheng Li, Wei Ding, Silu Huang, Zikang Wang, Yuanjin Lin, Ke Wu, Yongjoo Park, Jianjun Chen
2025 — conf
Demo of Kishu: Time-Traveling for Computational Notebooks.
SIGMOD Conference Companion
Zhaoheng Li, Supawit Chockchowwat, Hanxi Fang, Yongjoo Park
2025 A* conf
Enhancing Computational Notebooks with Code+Data Space Versioning.
CHI
Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, Yongjoo Park
2025 J jnl
Enhancing Computational Notebooks with Code+Data Space Versioning.
CoRR
Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, Yongjoo Park
2025 B conf
Intel ® in-Memory Analytics Accelerator: Performance Characterization and Guidelines.
ISPASS
Jaeyoung Kang, Qirong Xia, Ipoom Jeong, Yongjoo Park, Nam Sung Kim
2025 — conf
Large-scale Evaluation of Notebook Checkpointing with AI Agents.
CHI Extended Abstracts
Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, Yongjoo Park
2025 J jnl
Large-scale Evaluation of Notebook Checkpointing with AI Agents.
CoRR
Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, Yongjoo Park
2025 J jnl
MojoFrame: Dataframe Library in Mojo Language.
CoRR
Shengya Huang, Zhaoheng Li, Derek Werner, Yongjoo Park
2025 J jnl
PBE Meets LLM: When Few Examples Aren't Few-Shot Enough.
CoRR
Shuning Zhang, Yongjoo Park
2025 J jnl
QStore: Quantization-Aware Compressed Model Storage.
CoRR
Raunak Shah, Zhaoheng Li, Yongjoo Park
2025 J jnl
QStore: Quantization-Aware Compressed Model Storage.
Proc. VLDB Endow.
Raunak Shah, Zhaoheng Li, Yongjoo Park
2025 J jnl
SIEVE: Effective Filtered Vector Search with Collection of Indexes.
CoRR
Zhaoheng Li, Silu Huang, Wei Ding, Yongjoo Park, Jianjun Chen
2025 J jnl
SIEVE: Effective Filtered Vector Search with Collection of Indexes.
Proc. VLDB Endow.
Zhaoheng Li, Silu Huang, Wei Ding, Yongjoo Park, Jianjun Chen
2025 A* conf
UPP: Universal Predicate Pushdown to Smart Storage.
ISCA
Ipoom Jeong, Jinghan Huang, Chuxuan Hu, Dohyun Park, Jaeyoung Kang, Nam Sung Kim, Yongjoo Park
2024 — conf
Demonstration of ElasticNotebook: Migrating Live Computational Notebook States.
SIGMOD Conference Companion
Zhaoheng Li, Supawit Chockchowwat, Hanxi Fang, Ribhav Sahu, Sumay Thakurdesai, Kantanat Pridaphatrakun, Yongjoo Park
2024 J jnl
Kishu: Time-Traveling for Computational Notebooks.
CoRR
Zhaoheng Li, Supawit Chockchowwat, Ribhav Sahu, Areet Sheth, Yongjoo Park
2024 J jnl
Kishu: Time-Traveling for Computational Notebooks.
Proc. VLDB Endow.
Zhaoheng Li, Supawit Chockchowwat, Areet Sheth, Yongjoo Park, Ribhav Sahu
2023 J jnl
A Step Toward Deep Online Aggregation (Extended Version).
CoRR
Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park
2023 J jnl
A Step Toward Deep Online Aggregation.
Proc. ACM Manag. Data
Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park
2023 J jnl
AirIndex: Versatile Index Tuning Through Data and Storage.
CoRR
Supawit Chockchowwat, Wenjie Liu, Yongjoo Park
2023 J jnl
AirIndex: Versatile Index Tuning Through Data and Storage.
Proc. ACM Manag. Data
Supawit Chockchowwat, Wenjie Liu, Yongjoo Park
2023 J jnl
ElasticNotebook: Enabling Live Migration for Computational Notebooks (Technical Report).
CoRR
Zhaoheng Li, Pranav Gor, Rahul Prabhu, Hui Yu, Yuzhou Mao, Yongjoo Park
2023 J jnl
ElasticNotebook: Enabling Live Migration for Computational Notebooks.
Proc. VLDB Endow.
Zhaoheng Li, Pranav Gor, Rahul Prabhu, Hui Yu, Yuzhou Mao, Yongjoo Park
2023 J jnl
LADIO: Leakage-Aware Direct I/O for I/O-Intensive Workloads.
IEEE Comput. Archit. Lett.
Ipoom Jeong, Jiaqi Lou, Yongseok Son, Yongjoo Park, Yifan Yuan, Nam Sung Kim
2023 — conf
Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning.
SIGMOD Conference Companion
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, Chi Zhang
2023 A* conf
S/C: Speeding up Data Materialization with Bounded Memory.
ICDE
Zhaoheng Li, Xinyu Pi, Yongjoo Park
2023 J jnl
S/C: Speeding up Data Materialization with Bounded Memory.
CoRR
Zhaoheng Li, Xinyu Pi, Yongjoo Park
2023 — conf
Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility.
DEEM@SIGMOD
Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park
2023 J jnl
Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility.
CoRR
Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park
2022 A* conf
Airphant: Cloud-oriented Document Indexing.
ICDE
Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park
2022 J jnl
Automatically Finding Optimal Index Structure.
CoRR
Supawit Chockchowwat, Wenjie Liu, Yongjoo Park
2022 C conf
The Effects of Teaching Modality on Collaborative Learning: A Controlled Study.
FIE
Sophia Yang, Yongjoo Park, Abdussalam Alawini
2021 J jnl
Airphant: Cloud-oriented Document Indexing.
CoRR
Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park
2020 — conf
QuickSel: Quick Selectivity Learning with Mixture Models.
SIGMOD Conference
Yongjoo Park, Shucheng Zhong, Barzan Mozafari
2020 J jnl
SAQE: Practical Privacy-Preserving Approximate Query Processing for Data Federations.
Proc. VLDB Endow.
Johes Bater, Yongjoo Park, Xi He, Xiao Wang, Jennie Rogers
2019 — conf
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees.
SIGMOD Conference
Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari
2018 J jnl
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees.
CoRR
Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari
2018 — conf
Demonstration of VerdictDB, the Platform-Independent AQP System.
SIGMOD Conference
Wen He, Yongjoo Park, Idris Hanafi, Jacob Yatvitskiy, Barzan Mozafari
2018 J jnl
QuickSel: Quick Selectivity Learning with Mixture Models.
CoRR
Yongjoo Park, Shucheng Zhong, Barzan Mozafari
2018 — conf
VerdictDB: Universalizing Approximate Query Processing.
SIGMOD Conference
Yongjoo Park, Barzan Mozafari, Joseph Sorenson, Junhao Wang
2018 J jnl
VerdictDB: Universalizing Approximate Query Processing.
CoRR
Yongjoo Park, Barzan Mozafari, Joseph Sorenson, Junhao Wang
2017 A conf
Active Database Learning.
CIDR
Yongjoo Park
2017 — conf
Database Learning: Toward a Database that Becomes Smarter Every Time.
SIGMOD Conference
Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari
2017 J jnl
Database Learning: Toward a Database that Becomes Smarter Every Time.
CoRR
Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari
2017 — —
Fast Data Analytics by Learning.
Yongjoo Park
2016 A* conf
Visualization-aware sampling for very large databases.
ICDE
Yongjoo Park, Michael J. Cafarella, Barzan Mozafari
2015 J jnl
Neighbor-Sensitive Hashing.
Proc. VLDB Endow.
Yongjoo Park, Michael J. Cafarella, Barzan Mozafari
2015 J jnl
Visualization-Aware Sampling for Very Large Databases.
CoRR
Yongjoo Park, Michael J. Cafarella, Barzan Mozafari
2013 A conf
Brainwash: A Data System for Feature Engineering.
CIDR
Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang
2001 C conf
Comparison of Several Machine Learning Techniques in Pursuit-Evasion Games.
RoboCup
Jacky Baltes, Yongjoo Park