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

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

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

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)

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)