Yeounoh Chung

Orcid: 0000-0002-6535-9001

According to our database1, Yeounoh Chung authored at least 24 papers between 2013 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models.
CoRR, March, 2026

Fine-Grained Table Retrieval Through the Lens of Complex Queries.
CoRR, March, 2026

Architecting the AI-Powered Agentic Data Cloud.
IEEE Data Eng. Bull., 2026

2025
Multi-Objective Agentic Rewrites for Unstructured Data Processing.
CoRR, December, 2025

Cortex: Workflow-Aware Resource Pooling and Scheduling for Agentic Serving.
CoRR, October, 2025

Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL.
Proc. VLDB Endow., April, 2025

High-Fidelity And Complex Test Data Generation For Real-World SQL Code Generation Services.
CoRR, April, 2025

LLMs and Databases: A Synergistic Approach to Data Utilization.
IEEE Data Eng. Bull., 2025

CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2020
Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach.
IEEE Trans. Knowl. Data Eng., 2020

2019
Quantifying Uncertainty in Data Exploration.
PhD thesis, 2019

Democratizing Data Science through Interactive Curation of ML Pipelines.
Proceedings of the 2019 International Conference on Management of Data, 2019

Slice Finder: Automated Data Slicing for Model Validation.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
Improved Neighborhood Search for Collaborative Filtering.
Int. J. Fuzzy Log. Intell. Syst., 2018

Towards Quantifying Uncertainty in Data Analysis & Exploration.
IEEE Data Eng. Bull., 2018

Unknown Examples & Machine Learning Model Generalization.
CoRR, 2018

Slice Finder: Automated Data Slicing for Model Validation.
CoRR, 2018

Towards Interactive Curation & Automatic Tuning of ML Pipelines.
Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018

2017
A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets.
Proc. VLDB Endow., 2017


2016
Estimating the Impact of Unknown Unknowns on Aggregate Query Results.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Using RDMA for Lock Management.
CoRR, 2015

A Behavior Analysis-Based Game Bot Detection Approach Considering Various Play Styles.
CoRR, 2015

2013
Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013


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