Steven Euijong Whang

According to our database, Steven Euijong Whang authored at least 62 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Falcon: Fair Active Learning using Multi-armed Bandits.

Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang

Proc. VLDB Endow., January, 2024

Letter from the Special Issue Editor.

Steven Euijong Whang

IEEE Data Eng. Bull., 2024

PFGuard: A Generative Framework with Privacy and Fairness Safeguards.

Soyeon Kim, Yuji Roh, Geon Heo, Steven Euijong Whang

CoRR, 2024

Fair Class-Incremental Learning using Sample Weighting.

Jaeyoung Park, Minsu Kim, Steven Euijong Whang

CoRR, 2024

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models.

Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang

CoRR, 2024

RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks.

Seonghyeon Hwang, Minsu Kim, Steven Euijong Whang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views.

Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Quilt: Robust Data Segment Selection against Concept Drifts.

Minsu Kim, Seonghyeon Hwang, Steven Euijong Whang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Data collection and quality challenges in deep learning: a data-centric AI perspective.

Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee

VLDB J., July, 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

Front Matter.

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

Proc. VLDB Endow., 2023

iFlipper: Label Flipping for Individual Fairness.

Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang

Proc. ACM Manag. Data, 2023

Personalized DP-SGD using Sampling Mechanisms.

Geon Heo, Junseok Seo, Steven Euijong Whang

CoRR, 2023

Improving Fair Training under Correlation Shifts.

Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh

Proceedings of the International Conference on Machine Learning, 2023

XClusters: Explainability-First Clustering.

Hyunseung Hwang, Steven Euijong Whang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Redactor: A Data-Centric and Individualized Defense against Inference Attacks.

Geon Heo, Steven Euijong Whang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Redactor: Targeted Disinformation Generation using Probabilistic Decision Boundaries.

Geon Heo, Steven Euijong Whang

CoRR, 2022

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

Responsible AI Challenges in End-to-end Machine Learning.

Steven Euijong Whang, Ki Hyun Tae, Yuji Roh, Geon Heo

IEEE Data Eng. Bull., 2021

MixRL: Data Mixing Augmentation for Regression using Reinforcement Learning.

Seonghyeon Hwang, Steven Euijong Whang

CoRR, 2021

Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models.

Ki Hyun Tae, Steven Euijong Whang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Sample Selection for Fair and Robust Training.

Yuji Roh, Kangwook Lee, Steven Whang, Changho Suh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Machine Learning Robustness, Fairness, and their Convergence.

Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

FairBatch: Batch Selection for Model Fairness.

Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Data Collection and Quality Challenges for Deep Learning.

Steven Whang, Jae-Gil Lee

Proc. VLDB Endow., 2020

Inspector Gadget: A Data Programming-based Labeling System for Industrial Images.

Geon Heo, Yuji Roh, Seonghyeon Hwang, Dayun Lee, Steven Whang

Proc. VLDB Endow., 2020

Slice Tuner: A Selective Data Collection Framework for Accurate and Fair Machine Learning Models.

Ki Hyun Tae, Steven Euijong Whang

CoRR, 2020

FR-Train: A Mutual Information-Based Approach to Fair and Robust Training.

Yuji Roh, Kangwook Lee, Steven Whang, Changho Suh

Proceedings of the 37th International Conference on Machine Learning, 2020

Open-World COVID-19 Data Visualization [Extended Abstract].

Hyunseung Hwang, Steven Euijong Whang

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020

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

Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019

Data Validation for Machine Learning.

Eric Breck, Neoklis Polyzotis, Sudip Roy, Steven Whang, Martin Zinkevich

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Slice Finder: Automated Data Slicing for Model Validation.

Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Data Lifecycle Challenges in Production Machine Learning: A Survey.

Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich

SIGMOD Rec., 2018

Slice Finder: Automated Data Slicing for Model Validation.

Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Steven Euijong Whang

CoRR, 2018

2017

Data Management Challenges in Production Machine Learning.

Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

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, 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

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

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, Steven Euijong Whang

IEEE Data Eng. Bull., 2016

Discovering Structure in the Universe of Attribute Names.

Alon Y. Halevy, Natalya Fridman Noy, Sunita Sarawagi, Steven Euijong Whang, Xiao Yu

Proceedings of the 25th International Conference on World Wide Web, 2016

Goods: Organizing Google's Datasets.

Alon Y. Halevy, Flip Korn, Natalya Fridman Noy, Christopher Olston, Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang

Proceedings of the 2016 International Conference on Management of Data, 2016

LONLIES: Estimating Property Values for Long Tail Entities.

Mina H. Farid, Ihab F. Ilyas, Steven Euijong Whang, Cong Yu

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015

Discovering Subsumption Relationships for Web-Based Ontologies.

Dana Movshovitz-Attias, Steven Euijong Whang, Natalya Fridman Noy, Alon Y. Halevy

Proceedings of the 18th International Workshop on Web and Databases, 2015

2014

Incremental entity resolution on rules and data.

Steven Euijong Whang, Hector Garcia-Molina

VLDB J., 2014

Biperpedia: An Ontology for Search Applications.

Rahul Gupta, Alon Y. Halevy, Xuezhi Wang, Steven Euijong Whang, Fei Wu

Proc. VLDB Endow., 2014

ReNoun: Fact Extraction for Nominal Attributes.

Mohamed Yahya, Steven Whang, Rahul Gupta, Alon Y. Halevy

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Joint entity resolution on multiple datasets.

Steven Euijong Whang, Hector Garcia-Molina

VLDB J., 2013

Pay-As-You-Go Entity Resolution.

Steven Euijong Whang, David Marmaros, Hector Garcia-Molina

IEEE Trans. Knowl. Data Eng., 2013

Question Selection for Crowd Entity Resolution.

Steven Euijong Whang, Peter Lofgren, Hector Garcia-Molina

Proc. VLDB Endow., 2013

Disinformation techniques for entity resolution.

Steven Euijong Whang, Hector Garcia-Molina

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Data analytics: integration and privacy.

Steven Euijong Whang

PhD thesis, 2012

A Model for Quantifying Information Leakage.

Steven Euijong Whang, Hector Garcia-Molina

Proceedings of the Secure Data Management - 9th VLDB Workshop, 2012

Joint Entity Resolution.

Steven Euijong Whang, Hector Garcia-Molina

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2011

Developments in Generic Entity Resolution.

Steven Euijong Whang, Hector Garcia-Molina

IEEE Data Eng. Bull., 2011

Managing Information Leakage.

Steven Whang, Hector Garcia-Molina

Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research, 2011

2010

Entity Resolution with Evolving Rules.

Steven Whang, Hector Garcia-Molina

Proc. VLDB Endow., 2010

Evaluating Entity Resolution Results.

David Menestrina, Steven Whang, Hector Garcia-Molina

Proc. VLDB Endow., 2010

2009

Generic entity resolution with negative rules.

Steven Euijong Whang, Omar Benjelloun, Hector Garcia-Molina

VLDB J., 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

Indexing Boolean Expressions.

Steven Whang, Chad Brower, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Ramana Yerneni, Hector Garcia-Molina

Proc. VLDB Endow., 2009

Entity resolution with iterative blocking.

Steven Euijong Whang, David Menestrina, Georgia Koutrika, Martin Theobald, Hector Garcia-Molina

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

QuickStart: An Upfront Client-Based Design Advisor for Parallel Data Warehouses.

Malú Castellanos, Ivo Jimenez, Neal Coddington, Hans Zeller, Steven Whang, Umeshwar Dayal

Proceedings of the 25th International Conference on Data Engineering, 2009

2006

A Practitioner's Approach to Normalizing XQuery Expressions.

Ki-Hoon Lee, Seoyoung Kim, Euijong Whang, Jae-Gil Lee

Proceedings of the Database Systems for Advanced Applications, 2006