Steven Euijong Whang

85 papers A* 15A 1Journal 53Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Classroom AI: Large Language Models as Grade-Specific Teachers.
CoRR
Jio Oh, Steven Euijong Whang, James Evans, Jindong Wang
2026 J jnl
DeFrame: Debiasing Large Language Models Against Framing Effects.
CoRR
Kahee Lim, Soyeon Kim, Steven Euijong Whang
2026 J jnl
Explanation Multiplicity in SHAP: Characterization and Assessment.
CoRR
Hyunseung Hwang, Seungeun Lee, Lucas Rosenblatt, Steven Euijong Whang, Julia Stoyanovich
2026 — conf
Fair Class-Incremental Learning using Sample Weighting.
KDD (1)
Jaeyoung Park, Minsu Kim, Steven Euijong Whang
2026 — conf
GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning.
KDD (1)
Minsu Kim, Seonghyeon Hwang, Steven Euijong Whang
2026 J jnl
Should LLMs,
CoRR
Jio Oh, Paul Vicinanza, Thomas Butler, Steven Euijong Whang, Dezhi Hong, Amani Namboori
2025 J jnl
GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning.
CoRR
Minsu Kim, Seonghyeon Hwang, Steven Euijong Whang
2025 J jnl
Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models.
CoRR
Soyeon Kim, Jindong Wang, Xing Xie, Steven Euijong Whang
2025 J jnl
Letter from the Special Issue Editor.
IEEE Data Eng. Bull.
Steven Euijong Whang
2025 J jnl
MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning.
CoRR
Seonghyeon Hwang, Soyoung Choi, Steven Euijong Whang
2025 A* conf
PFGuard: A Generative Framework with Privacy and Fairness Safeguards.
ICLR
Soyeon Kim, Yuji Roh, Geon Heo, Steven Euijong Whang
2025 — conf
SHAP-based Explanations are Sensitive to Feature Representation.
FAccT
Hyunseung Hwang, Andrew Bell, João Fonseca, Venetia Pliatsika, Julia Stoyanovich, Steven Euijong Whang
2025 J jnl
SHAP-based Explanations are Sensitive to Feature Representation.
CoRR
Hyunseung Hwang, Andrew Bell, João Fonseca, Venetia Pliatsika, Julia Stoyanovich, Steven Euijong Whang
2025 A* conf
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning.
CVPR
Seonghyeon Hwang, Minsu Kim, Steven Euijong Whang
2025 J jnl
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning.
CoRR
Seonghyeon Hwang, Minsu Kim, Steven Euijong Whang
2024 J jnl
Better Think with Tables: Leveraging Tables to Enhance Large Language Model Comprehension.
CoRR
Jio Oh, Geon Heo, Seungjun Oh, Jindong Wang, Xing Xie, Steven Euijong Whang
2024 J jnl
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models.
CoRR
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang
2024 J jnl
Fair Class-Incremental Learning using Sample Weighting.
CoRR
Jaeyoung Park, Minsu Kim, Steven Euijong Whang
2024 J jnl
Falcon: Fair Active Learning using Multi-armed Bandits.
CoRR
Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang
2024 J jnl
Falcon: Fair Active Learning using Multi-armed Bandits.
Proc. VLDB Endow.
Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang
2024 A* conf
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views.
ICML
Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
2024 J jnl
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views.
CoRR
Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
2024 J jnl
Letter from the Special Issue Editor.
IEEE Data Eng. Bull.
Steven Euijong Whang
2024 J jnl
PFGuard: A Generative Framework with Privacy and Fairness Safeguards.
CoRR
Soyeon Kim, Yuji Roh, Geon Heo, Steven Euijong Whang
2024 A* conf
Quilt: Robust Data Segment Selection against Concept Drifts.
AAAI
Minsu Kim, Seonghyeon Hwang, Steven Euijong Whang
2024 A* conf
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks.
KDD
Seonghyeon Hwang, Minsu Kim, Steven Euijong Whang
2024 J jnl
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks.
CoRR
Seonghyeon Hwang, Minsu Kim, Steven Euijong Whang
2023 J jnl
Data collection and quality challenges in deep learning: a data-centric AI perspective.
VLDB J.
Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
2023 J jnl
Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data.
Trans. Mach. Learn. Res.
Yuji Roh, Weili Nie, De-An Huang, Steven Euijong Whang, Arash Vahdat, Anima Anandkumar
2023 J jnl
Front Matter.
Proc. VLDB Endow.
Georgia Koutrika, Jun Yang, Manos Athanassoulis, Kostas Stefanidis, Ju Fan, Abdul Quamar, Yuanyan Tian, Alekh Jindal, Carsten Binnig, Jennie Rogers, Senjuti Basu Roy, Steven Euijong Whang, Matthias Boehm, Aaron J. Elmore, Vasilis Efthymiou, Xiao Hu, Xiaofang Zhou, Alan D. Fekete
2023 A* conf
Improving Fair Training under Correlation Shifts.
ICML
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
2023 J jnl
Improving Fair Training under Correlation Shifts.
CoRR
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
2023 J jnl
Personalized DP-SGD using Sampling Mechanisms.
CoRR
Geon Heo, Junseok Seo, Steven Euijong Whang
2023 J jnl
Quilt: Robust Data Segment Selection against Concept Drifts.
CoRR
Minsu Kim, Seonghyeon Hwang, Steven Euijong Whang
2023 A* conf
Redactor: A Data-Centric and Individualized Defense against Inference Attacks.
AAAI
Geon Heo, Steven Euijong Whang
2023 A* conf
XClusters: Explainability-First Clustering.
AAAI
Hyunseung Hwang, Steven Euijong Whang
2023 J jnl
iFlipper: Label Flipping for Individual Fairness.
Proc. ACM Manag. Data
Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang
2022 J jnl
Redactor: Targeted Disinformation Generation using Probabilistic Decision Boundaries.
CoRR
Geon Heo, Steven Euijong Whang
2022 J jnl
XClusters: Explainability-first Clustering.
CoRR
Hyunseung Hwang, Steven Euijong Whang
2022 J jnl
iFlipper: Label Flipping for Individual Fairness.
CoRR
Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang
2021 J jnl
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective.
IEEE Trans. Knowl. Data Eng.
Yuji Roh, Geon Heo, Steven Euijong Whang
2021 J jnl
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective.
CoRR
Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
2021 A* conf
FairBatch: Batch Selection for Model Fairness.
ICLR
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
2021 A* conf
Machine Learning Robustness, Fairness, and their Convergence.
KDD
Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang
2021 J jnl
MixRL: Data Mixing Augmentation for Regression using Reinforcement Learning.
CoRR
Seonghyeon Hwang, Steven Euijong Whang
2021 J jnl
Responsible AI Challenges in End-to-end Machine Learning.
CoRR
Steven Euijong Whang, Ki Hyun Tae, Yuji Roh, Geon Heo
2021 J jnl
Responsible AI Challenges in End-to-end Machine Learning.
IEEE Data Eng. Bull.
Steven Euijong Whang, Ki Hyun Tae, Yuji Roh, Geon Heo
2021 J jnl
Sample Selection for Fair and Robust Training.
CoRR
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
2021 — conf
Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models.
SIGMOD Conference
Ki Hyun Tae, Steven Euijong Whang
2020 J jnl
Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach.
IEEE Trans. Knowl. Data Eng.
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang
2020 — ed.
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part I
DASFAA (1)
Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang
2020 — ed.
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part II
DASFAA (2)
Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang
2020 — ed.
Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part III
DASFAA (3)
Yunmook Nah, Bin Cui, Sang-Won Lee, Jeffrey Xu Yu, Yang-Sae Moon, Steven Euijong Whang
2020 — ed.
Database Systems for Advanced Applications. DASFAA 2020 International Workshops - BDMS, SeCoP, BDQM, GDMA, and AIDE, Jeju, South Korea, September 24-27, 2020, Proceedings
DASFAA (Workshops)
Yunmook Nah, Chulyun Kim, Seon Ho Kim, Yang-Sae Moon, Steven Euijong Whang
2020 J jnl
FR-Train: A mutual information-based approach to fair and robust training.
CoRR
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
2020 J jnl
FairBatch: Batch Selection for Model Fairness.
CoRR
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
2020 J jnl
Inspector Gadget: A Data Programming-based Labeling System for Industrial Images.
CoRR
Geon Heo, Yuji Roh, Seonghyeon Hwang, Dayun Lee, Steven Euijong Whang
2020 — conf
Open-World COVID-19 Data Visualization [Extended Abstract].
Poly/DMAH@VLDB
Hyunseung Hwang, Steven Euijong Whang
2020 J jnl
Slice Tuner: A Selective Data Collection Framework for Accurate and Fair Machine Learning Models.
CoRR
Ki Hyun Tae, Steven Euijong Whang
2019 — conf
Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach.
DEEM@SIGMOD
Ki Hyun Tae, Yuji Roh, Young Hun Oh, Hyunsu Kim, Steven Euijong Whang
2019 J jnl
Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach.
CoRR
Ki Hyun Tae, Yuji Roh, Young Hun Oh, Hyunsu Kim, Steven Euijong Whang
2019 A* conf
Slice Finder: Automated Data Slicing for Model Validation.
ICDE
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang
2018 J jnl
A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective.
CoRR
Yuji Roh, Geon Heo, Steven Euijong Whang
2018 J jnl
Data Lifecycle Challenges in Production Machine Learning: A Survey.
SIGMOD Rec.
Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich
2018 J jnl
Slice Finder: Automated Data Slicing for Model Validation.
CoRR
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Steven Euijong Whang
2017 — conf
Data Management Challenges in Production Machine Learning.
SIGMOD Conference
Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich
2017 A* conf
TFX: A TensorFlow-Based Production-Scale Machine Learning Platform.
KDD
Denis Baylor, Eric Breck, Heng-Tze Cheng, Noah Fiedel, Chuan Yu Foo, Zakaria Haque, Salem Haykal, Mustafa Ispir, Vihan Jain, Levent Koc, Chiu Yuen Koo, Lukasz Lew, Clemens Mewald, Akshay Naresh Modi, Neoklis Polyzotis, Sukriti Ramesh, Sudip Roy, Steven Euijong Whang, Martin Wicke, Jarek Wilkiewicz, Xin Zhang, Martin Zinkevich
2016 A* conf
Discovering Structure in the Universe of Attribute Names.
WWW
Alon Y. Halevy, Natalya Fridman Noy, Sunita Sarawagi, Steven Euijong Whang, Xiao Yu
2016 — conf
Goods: Organizing Google's Datasets.
SIGMOD Conference
Alon Y. Halevy, Flip Korn, Natalya Fridman Noy, Christopher Olston, Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang
2016 A* conf
LONLIES: Estimating Property Values for Long Tail Entities.
SIGIR
Mina H. Farid, Ihab F. Ilyas, Steven Euijong Whang, Cong Yu
2016 J jnl
Managing Google's data lake: an overview of the Goods system.
IEEE Data Eng. Bull.
Alon Y. Halevy, Flip Korn, Natalya Fridman Noy, Christopher Olston, Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang
2015 — conf
Discovering Subsumption Relationships for Web-Based Ontologies.
WebDB
Dana Movshovitz-Attias, Steven Euijong Whang, Natalya Fridman Noy, Alon Y. Halevy
2014 J jnl
Biperpedia: An Ontology for Search Applications.
Proc. VLDB Endow.
Rahul Gupta, Alon Y. Halevy, Xuezhi Wang, Steven Euijong Whang, Fei Wu
2014 J jnl
Incremental entity resolution on rules and data.
VLDB J.
Steven Euijong Whang, Hector Garcia-Molina
2013 A conf
Disinformation techniques for entity resolution.
CIKM
Steven Euijong Whang, Hector Garcia-Molina
2013 J jnl
Joint entity resolution on multiple datasets.
VLDB J.
Steven Euijong Whang, Hector Garcia-Molina
2013 J jnl
Pay-As-You-Go Entity Resolution.
IEEE Trans. Knowl. Data Eng.
Steven Euijong Whang, David Marmaros, Hector Garcia-Molina
2013 J jnl
Question Selection for Crowd Entity Resolution.
Proc. VLDB Endow.
Steven Euijong Whang, Peter Lofgren, Hector Garcia-Molina
2012 — conf
A Model for Quantifying Information Leakage.
Secure Data Management
Steven Euijong Whang, Hector Garcia-Molina
2012 — —
Data analytics: integration and privacy.
Steven Euijong Whang
2012 A* conf
Joint Entity Resolution.
ICDE
Steven Euijong Whang, Hector Garcia-Molina
2011 J jnl
Developments in Generic Entity Resolution.
IEEE Data Eng. Bull.
Steven Euijong Whang, Hector Garcia-Molina
2009 — conf
Entity resolution with iterative blocking.
SIGMOD Conference
Steven Euijong Whang, David Menestrina, Georgia Koutrika, Martin Theobald, Hector Garcia-Molina
2009 J jnl
Generic entity resolution with negative rules.
VLDB J.
Steven Euijong Whang, Omar Benjelloun, Hector Garcia-Molina
2009 J jnl
Swoosh: a generic approach to entity resolution.
VLDB J.
Omar Benjelloun, Hector Garcia-Molina, David Menestrina, Qi Su, Steven Euijong Whang, Jennifer Widom