Steven Euijong Whang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 48

Top Topics

Data Collection

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang
Falcon: Fair Active Learning using Multi-armed Bandits. CoRR (2024)
Seonghyeon Hwang, Minsu Kim, Steven Euijong Whang
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks. CoRR (2024)
Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang
Falcon: Fair Active Learning using Multi-armed Bandits. Proc. VLDB Endow. 17 (5) (2024)
Steven Euijong Whang
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 47 (1) (2024)
Minsu Kim, Seonghyeon Hwang, Steven Euijong Whang
Quilt: Robust Data Segment Selection against Concept Drifts. AAAI (2024)
Seonghyeon Hwang, Minsu Kim, Steven Euijong Whang
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks. KDD (2024)
Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models. CoRR (2024)
Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. CoRR (2024)
Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
Data collection and quality challenges in deep learning: a data-centric AI perspective. VLDB J. 32 (4) (2023)
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
Front Matter. Proc. VLDB Endow. 16 (12) (2023)
Hyunseung Hwang, Steven Euijong Whang
XClusters: Explainability-First Clustering. AAAI (2023)
Geon Heo, Junseok Seo, Steven Euijong Whang
Personalized DP-SGD using Sampling Mechanisms. CoRR (2023)
Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang
iFlipper: Label Flipping for Individual Fairness. Proc. ACM Manag. Data 1 (1) (2023)
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
Improving Fair Training under Correlation Shifts. CoRR (2023)
Geon Heo, Steven Euijong Whang
Redactor: A Data-Centric and Individualized Defense against Inference Attacks. AAAI (2023)
Minsu Kim, Seonghyeon Hwang, Steven Euijong Whang
Quilt: Robust Data Segment Selection against Concept Drifts. CoRR (2023)
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
Improving Fair Training under Correlation Shifts. ICML (2023)
Yuji Roh, Weili Nie, De-An Huang, Steven Euijong Whang, Arash Vahdat, Anima Anandkumar
Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data. Trans. Mach. Learn. Res. 2023 (2023)
Hyunseung Hwang, Steven Euijong Whang
XClusters: Explainability-first Clustering. CoRR (2022)
Hantian Zhang, Ki Hyun Tae, Jaeyoung Park, Xu Chu, Steven Euijong Whang
iFlipper: Label Flipping for Individual Fairness. CoRR (2022)
Geon Heo, Steven Euijong Whang
Redactor: Targeted Disinformation Generation using Probabilistic Decision Boundaries. CoRR (2022)
Jae-Gil Lee, Yuji Roh, Hwanjun Song, Steven Euijong Whang
Machine Learning Robustness, Fairness, and their Convergence. KDD (2021)
Steven Euijong Whang, Ki Hyun Tae, Yuji Roh, Geon Heo
Responsible AI Challenges in End-to-end Machine Learning. CoRR (2021)
Steven Euijong Whang, Ki Hyun Tae, Yuji Roh, Geon Heo
Responsible AI Challenges in End-to-end Machine Learning. IEEE Data Eng. Bull. 44 (1) (2021)
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
FairBatch: Batch Selection for Model Fairness. ICLR (2021)
Yuji Roh, Geon Heo, Steven Euijong Whang
A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Ki Hyun Tae, Steven Euijong Whang
Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models. SIGMOD Conference (2021)
Seonghyeon Hwang, Steven Euijong Whang
MixRL: Data Mixing Augmentation for Regression using Reinforcement Learning. CoRR (2021)
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
Sample Selection for Fair and Robust Training. CoRR (2021)
Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective. CoRR (2021)
Geon Heo, Yuji Roh, Seonghyeon Hwang, Dayun Lee, Steven Euijong Whang
Inspector Gadget: A Data Programming-based Labeling System for Industrial Images. CoRR (2020)
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
FairBatch: Batch Selection for Model Fairness. CoRR (2020)
Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh
FR-Train: A mutual information-based approach to fair and robust training. CoRR (2020)
Ki Hyun Tae, Steven Euijong Whang
Slice Tuner: A Selective Data Collection Framework for Accurate and Fair Machine Learning Models. CoRR (2020)
Hyunseung Hwang, Steven Euijong Whang
Open-World COVID-19 Data Visualization [Extended Abstract]. Poly/DMAH@VLDB (2020)
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang
Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach. IEEE Trans. Knowl. Data Eng. 32 (12) (2020)
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang
Slice Finder: Automated Data Slicing for Model Validation. ICDE (2019)
Ki Hyun Tae, Yuji Roh, Young Hun Oh, Hyunsu Kim, Steven Euijong Whang
Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach. DEEM@SIGMOD (2019)
Ki Hyun Tae, Yuji Roh, Young Hun Oh, Hyunsu Kim, Steven Euijong Whang
Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach. CoRR (2019)
Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich
Data Lifecycle Challenges in Production Machine Learning: A Survey. SIGMOD Rec. 47 (2) (2018)
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Steven Euijong Whang
Slice Finder: Automated Data Slicing for Model Validation. CoRR (2018)
Yuji Roh, Geon Heo, Steven Euijong Whang
A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective. CoRR (2018)
Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich
Data Management Challenges in Production Machine Learning. SIGMOD Conference (2017)
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
TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. KDD (2017)
Alon Y. Halevy, Flip Korn, Natalya Fridman Noy, Christopher Olston, Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang
Goods: Organizing Google's Datasets. SIGMOD Conference (2016)
Mina H. Farid, Ihab F. Ilyas, Steven Euijong Whang, Cong Yu
LONLIES: Estimating Property Values for Long Tail Entities. SIGIR (2016)
Alon Y. Halevy, Flip Korn, Natalya Fridman Noy, Christopher Olston, Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang
Managing Google's data lake: an overview of the Goods system. IEEE Data Eng. Bull. 39 (3) (2016)
Alon Y. Halevy, Natalya Fridman Noy, Sunita Sarawagi, Steven Euijong Whang, Xiao Yu
Discovering Structure in the Universe of Attribute Names. WWW (2016)
Dana Movshovitz-Attias, Steven Euijong Whang, Natalya Fridman Noy, Alon Y. Halevy
Discovering Subsumption Relationships for Web-Based Ontologies. WebDB (2015)
Rahul Gupta, Alon Y. Halevy, Xuezhi Wang, Steven Euijong Whang, Fei Wu
Biperpedia: An Ontology for Search Applications. Proc. VLDB Endow. 7 (7) (2014)
Steven Euijong Whang, Hector Garcia-Molina
Incremental entity resolution on rules and data. VLDB J. 23 (1) (2014)
Steven Euijong Whang, Peter Lofgren, Hector Garcia-Molina
Question Selection for Crowd Entity Resolution. Proc. VLDB Endow. 6 (6) (2013)
Steven Euijong Whang, Hector Garcia-Molina
Joint entity resolution on multiple datasets. VLDB J. 22 (6) (2013)
Steven Euijong Whang, Hector Garcia-Molina
Disinformation techniques for entity resolution. CIKM (2013)
Steven Euijong Whang, David Marmaros, Hector Garcia-Molina
Pay-As-You-Go Entity Resolution. IEEE Trans. Knowl. Data Eng. 25 (5) (2013)
Steven Euijong Whang, Hector Garcia-Molina
A Model for Quantifying Information Leakage. Secure Data Management (2012)
Steven Euijong Whang, Hector Garcia-Molina
Joint Entity Resolution. ICDE (2012)
Steven Euijong Whang, Hector Garcia-Molina
Developments in Generic Entity Resolution. IEEE Data Eng. Bull. 34 (3) (2011)
Steven Euijong Whang, David Menestrina, Georgia Koutrika, Martin Theobald, Hector Garcia-Molina
Entity resolution with iterative blocking. SIGMOD Conference (2009)
Steven Euijong Whang, Omar Benjelloun, Hector Garcia-Molina
Generic entity resolution with negative rules. VLDB J. 18 (6) (2009)
Omar Benjelloun, Hector Garcia-Molina, David Menestrina, Qi Su, Steven Euijong Whang, Jennifer Widom
Swoosh: a generic approach to entity resolution. VLDB J. 18 (1) (2009)