A Practitioner's Approach to Normalizing XQuery Expressions. - Ki-Hoon Lee; Seoyoung Kim 002; Euijong Whang; Jae-Gil Lee 001 (DASFAA, 2006)

QuickStart: An Upfront Client-Based Design Advisor for Parallel Data Warehouses. - Malú Castellanos; Ivo Jimenez; Neal Coddington; Hans Zeller; Steven Whang 001; Umeshwar Dayal (ICDE, 2009)

Entity resolution with iterative blocking. - Steven Euijong Whang; David Menestrina; Georgia Koutrika; Martin Theobald; Hector Garcia-Molina (SIGMOD Conference, 2009)

Indexing Boolean Expressions. - Steven Whang 001; Chad Brower; Jayavel Shanmugasundaram; Sergei Vassilvitskii; Erik Vee; Ramana Yerneni; Hector Garcia-Molina (Proc. VLDB Endow., 2009)

Swoosh: a generic approach to entity resolution. - Omar Benjelloun; Hector Garcia-Molina; David Menestrina; Qi Su; Steven Euijong Whang; Jennifer Widom (VLDB J., 2009)

Generic entity resolution with negative rules. - Steven Euijong Whang; Omar Benjelloun; Hector Garcia-Molina (VLDB J., 2009)

Evaluating Entity Resolution Results. - David Menestrina; Steven Whang 001; Hector Garcia-Molina (Proc. VLDB Endow., 2010)

Entity Resolution with Evolving Rules. - Steven Whang 001; Hector Garcia-Molina (Proc. VLDB Endow., 2010)

Managing Information Leakage. - Steven Whang 001; Hector Garcia-Molina (CIDR, 2011)

Developments in Generic Entity Resolution. - Steven Euijong Whang; Hector Garcia-Molina (IEEE Data Eng. Bull., 2011)

Joint Entity Resolution. - Steven Euijong Whang; Hector Garcia-Molina (ICDE, 2012)

A Model for Quantifying Information Leakage. - Steven Euijong Whang; Hector Garcia-Molina (Secure Data Management, 2012)

Data analytics: integration and privacy. - Steven Euijong Whang (2012)

Disinformation techniques for entity resolution. - Steven Euijong Whang; Hector Garcia-Molina (CIKM, 2013)

Question Selection for Crowd Entity Resolution. - Steven Euijong Whang; Peter Lofgren; Hector Garcia-Molina (Proc. VLDB Endow., 2013)

Pay-As-You-Go Entity Resolution. - Steven Euijong Whang; David Marmaros; Hector Garcia-Molina (IEEE Trans. Knowl. Data Eng., 2013)

Joint entity resolution on multiple datasets. - Steven Euijong Whang; Hector Garcia-Molina (VLDB J., 2013)

ReNoun: Fact Extraction for Nominal Attributes. - Mohamed Yahya 001; Steven Whang 001; Rahul Gupta; Alon Y. Halevy (EMNLP, 2014)

Biperpedia: An Ontology for Search Applications. - Rahul Gupta; Alon Y. Halevy; Xuezhi Wang 002; Steven Euijong Whang; Fei Wu 003 (Proc. VLDB Endow., 2014)

Incremental entity resolution on rules and data. - Steven Euijong Whang; Hector Garcia-Molina (VLDB J., 2014)

Discovering Subsumption Relationships for Web-Based Ontologies. - Dana Movshovitz-Attias; Steven Euijong Whang; Natalya Fridman Noy; Alon Y. Halevy (WebDB, 2015)

LONLIES: Estimating Property Values for Long Tail Entities. - Mina H. Farid; Ihab F. Ilyas; Steven Euijong Whang; Cong Yu 001 (SIGIR, 2016)

Goods: Organizing Google's Datasets. - Alon Y. Halevy; Flip Korn; Natalya Fridman Noy; Christopher Olston; Neoklis Polyzotis; Sudip Roy 002; Steven Euijong Whang (SIGMOD Conference, 2016)

Discovering Structure in the Universe of Attribute Names. - Alon Y. Halevy; Natalya Fridman Noy; Sunita Sarawagi; Steven Euijong Whang; Xiao Yu (WWW, 2016)

Managing Google's data lake: an overview of the Goods system. - Alon Y. Halevy; Flip Korn; Natalya Fridman Noy; Christopher Olston; Neoklis Polyzotis; Sudip Roy 002; Steven Euijong Whang (IEEE Data Eng. Bull., 2016)

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. - Denis Baylor; Eric Breck; Heng-Tze Cheng; Noah Fiedel; Chuan Yu Foo; Zakaria Haque; Salem Haykal; Mustafa Ispir; Vihan Jain; Levent Koc 001; Chiu Yuen Koo; Lukasz Lew; et al. (KDD, 2017)

Data Management Challenges in Production Machine Learning. - Neoklis Polyzotis; Sudip Roy 002; Steven Euijong Whang; Martin Zinkevich (SIGMOD Conference, 2017)

Slice Finder: Automated Data Slicing for Model Validation. - Yeounoh Chung; Tim Kraska; Neoklis Polyzotis; Steven Euijong Whang (CoRR, 2018)

Data Lifecycle Challenges in Production Machine Learning: A Survey. - Neoklis Polyzotis; Sudip Roy 002; Steven Euijong Whang; Martin Zinkevich (SIGMOD Rec., 2018)

Slice Finder: Automated Data Slicing for Model Validation. - Yeounoh Chung; Tim Kraska; Neoklis Polyzotis; Ki Hyun Tae; Steven Euijong Whang (ICDE, 2019)

Data Validation for Machine Learning. - Eric Breck; Neoklis Polyzotis; Sudip Roy 002; Steven Whang 001; Martin Zinkevich (SysML, 2019)

Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach. - Ki Hyun Tae; Yuji Roh; Young Hun Oh; Hyunsu Kim; Steven Euijong Whang (DEEM@SIGMOD, 2019)

Open-World COVID-19 Data Visualization [Extended Abstract]. - Hyunseung Hwang; Steven Euijong Whang (Poly/DMAH@VLDB, 2020)

FR-Train: A Mutual Information-Based Approach to Fair and Robust Training. - Yuji Roh; Kangwook Lee 001; Steven Whang 001; Changho Suh (ICML, 2020)

Slice Tuner: A Selective Data Collection Framework for Accurate and Fair Machine Learning Models. - Ki Hyun Tae; Steven Euijong Whang (CoRR, 2020)

Inspector Gadget: A Data Programming-based Labeling System for Industrial Images. - Geon Heo; Yuji Roh; Seonghyeon Hwang; Dayun Lee; Steven Whang 001 (Proc. VLDB Endow., 2020)

Data Collection and Quality Challenges for Deep Learning. - Steven Whang 001; Jae-Gil Lee 001 (Proc. VLDB Endow., 2020)

Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach. - Yeounoh Chung; Tim Kraska; Neoklis Polyzotis; Ki Hyun Tae; Steven Euijong Whang (IEEE Trans. Knowl. Data Eng., 2020)

FairBatch: Batch Selection for Model Fairness. - Yuji Roh; Kangwook Lee 001; Steven Euijong Whang; Changho Suh (ICLR, 2021)

Machine Learning Robustness, Fairness, and their Convergence. - Jae-Gil Lee 001; Yuji Roh; Hwanjun Song; Steven Euijong Whang (KDD, 2021)

Sample Selection for Fair and Robust Training. - Yuji Roh; Kangwook Lee 001; Steven Whang 001; Changho Suh (NeurIPS, 2021)

Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models. - Ki Hyun Tae; Steven Euijong Whang (SIGMOD Conference, 2021)

MixRL: Data Mixing Augmentation for Regression using Reinforcement Learning. - Seonghyeon Hwang; Steven Euijong Whang (CoRR, 2021)

Responsible AI Challenges in End-to-end Machine Learning. - Steven Euijong Whang; Ki Hyun Tae; Yuji Roh; Geon Heo (IEEE Data Eng. Bull., 2021)

A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective. - Yuji Roh; Geon Heo; Steven Euijong Whang (IEEE Trans. Knowl. Data Eng., 2021)

Redactor: Targeted Disinformation Generation using Probabilistic Decision Boundaries. - Geon Heo; Steven Euijong Whang (CoRR, 2022)

Redactor: A Data-Centric and Individualized Defense against Inference Attacks. - Geon Heo; Steven Euijong Whang (AAAI, 2023)

XClusters: Explainability-First Clustering. - Hyunseung Hwang; Steven Euijong Whang (AAAI, 2023)

Improving Fair Training under Correlation Shifts. - Yuji Roh; Kangwook Lee 001; Steven Euijong Whang; Changho Suh (ICML, 2023)

Personalized DP-SGD using Sampling Mechanisms. - Geon Heo; Junseok Seo; Steven Euijong Whang (CoRR, 2023)

iFlipper: Label Flipping for Individual Fairness. - Hantian Zhang; Ki Hyun Tae; Jaeyoung Park 003; Xu Chu 002; Steven Euijong Whang (Proc. ACM Manag. Data, 2023)

Front Matter. - Georgia Koutrika; Jun Yang 001; Manos Athanassoulis; Kostas Stefanidis; Ju Fan; Abdul Quamar; Yuanyan Tian; Alekh Jindal; Carsten Binnig; Jennie Rogers; Senjuti Basu Roy; Steven Euijong Whang; et al. (Proc. VLDB Endow., 2023)

Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data. - Yuji Roh; Weili Nie; De-An Huang; Steven Euijong Whang; Arash Vahdat; Anima Anandkumar (Trans. Mach. Learn. Res., 2023)

Data collection and quality challenges in deep learning: a data-centric AI perspective. - Steven Euijong Whang; Yuji Roh; Hwanjun Song; Jae-Gil Lee 001 (VLDB J., 2023)

Quilt: Robust Data Segment Selection against Concept Drifts. - Minsu Kim 006; Seonghyeon Hwang; Steven Euijong Whang (AAAI, 2024)

LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. - Yuji Roh; Qingyun Liu 003; Huan Gui; Zhe Yuan; Yujin Tang; Steven Euijong Whang; Liang Liu 017; Shuchao Bi; Lichan Hong; Ed H. Chi; Zhe Zhao 001 (ICML, 2024)

RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks. - Seonghyeon Hwang; Minsu Kim 006; Steven Euijong Whang (KDD, 2024)

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models. - Jio Oh; Soyeon Kim 001; Junseok Seo; Jindong Wang 001; Ruochen Xu; Xing Xie 001; Steven Whang 001 (NeurIPS, 2024)

Fair Class-Incremental Learning using Sample Weighting. - Jaeyoung Park 003; Minsu Kim 006; Steven Euijong Whang (CoRR, 2024)

Better Think with Tables: Leveraging Tables to Enhance Large Language Model Comprehension. - Jio Oh; Geon Heo; Seungjun Oh; Jindong Wang 001; Xing Xie 001; Steven Euijong Whang (CoRR, 2024)

Letter from the Special Issue Editor. - Steven Euijong Whang (IEEE Data Eng. Bull., 2024)

Falcon: Fair Active Learning using Multi-armed Bandits. - Ki Hyun Tae; Hantian Zhang; Jaeyoung Park 003; Kexin Rong 001; Steven Euijong Whang (Proc. VLDB Endow., 2024)

T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning. - Seonghyeon Hwang; Minsu Kim 006; Steven Euijong Whang (CVPR, 2025)

SHAP-based Explanations are Sensitive to Feature Representation. - Hyunseung Hwang; Andrew Bell; João Fonseca; Venetia Pliatsika; Julia Stoyanovich; Steven Euijong Whang (FAccT, 2025)

PFGuard: A Generative Framework with Privacy and Fairness Safeguards. - Soyeon Kim 001; Yuji Roh; Geon Heo; Steven Euijong Whang (ICLR, 2025)

GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning. - Minsu Kim 006; Seonghyeon Hwang; Steven Euijong Whang (CoRR, 2025)