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)

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

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)

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)

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

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)

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