| A survey on data collection for machine learning: a big data-ai integration perspective Y Roh, G Heo, SE Whang IEEE Transactions on Knowledge and Data Engineering 33 (4), 1328-1347, 2019 | 1157 | 2019 |
| Data collection and quality challenges in deep learning: A data-centric ai perspective SE Whang, Y Roh, H Song, JG Lee The VLDB Journal 32 (4), 791-813, 2023 | 354 | 2023 |
| Fairbatch: Batch selection for model fairness Y Roh, K Lee, SE Whang, C Suh International Conference on Learning Representations (ICLR), 2021 | 153 | 2021 |
| Fr-train: A mutual information-based approach to fair and robust training Y Roh, K Lee, S Whang, C Suh International Conference on Machine Learning (ICML), 8147-8157, 2020 | 100 | 2020 |
| Data cleaning for accurate, fair, and robust models: A big data-AI integration approach KH Tae, Y Roh, YH Oh, H Kim, SE Whang Proceedings of the 3rd international workshop on data management for end-to …, 2019 | 90 | 2019 |
| Sample Selection for Fair and Robust Training Y Roh, K Lee, SE Whang, C Suh Neural Information Processing Systems (NeurIPS), 2021 | 73 | 2021 |
| Machine learning robustness, fairness, and their convergence JG Lee, Y Roh, H Song, SE Whang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 22 | 2021 |
| Inspector gadget: A data programming-based labeling system for industrial images G Heo, Y Roh, S Hwang, D Lee, SE Whang International Conference on Very Large Data Bases (VLDB), 2020 | 17 | 2020 |
| Improving fair training under correlation shifts Y Roh, K Lee, SE Whang, C Suh International Conference on Machine Learning (ICML), 2023 | 15 | 2023 |
| Responsible AI Challenges in End-to-end Machine Learning SE Whang, KH Tae, Y Roh, G Heo IEEE Data Engineering Bulletin, 2021 | 10* | 2021 |
| Comparison of slowness profiles of Lamb wave with elastic moduli and crystal structure in single crystalline silicon wafers Y Min, G Yun, KM Kim, Y Roh, YH Kim 비파괴검사학회지 36 (1), 1-8, 2016 | 5 | 2016 |
| Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data Y Roh, W Nie, DA Huang, SE Whang, A Vahdat, A Anandkumar Transactions on Machine Learning Research, 2023 | 3 | 2023 |
| Comparison of slowness curves of Lamb wave with elastic moduli and crystal structure in silicon wafers G Yun, KM Kim, Y Roh, Y Min, JK Lee, YH Kim 2013 IEEE International Ultrasonics Symposium (IUS), 1598-1601, 2013 | 3 | 2013 |
| Fairness-based neural network model training using real and generated data Y Roh, W Nie, DA Huang, A Vahdat, A Anandkumar US Patent App. 18/307,227, 2024 | 1 | 2024 |
| PFGuard: A Generative Framework with Privacy and Fairness Safeguards S Kim, Y Roh, G Heo, SE Whang arXiv preprint arXiv:2410.02246, 2024 | | 2024 |
| LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Y Roh, Q Liu, H Gui, Z Yuan, Y Tang, SE Whang, L Liu, S Bi, L Hong, ... International Conference on Machine Learning (ICML), 2024 | | 2024 |
| Towards practical model fairness for trustworthy and safe AI Y Roh 한국과학기술원, 2024 | | 2024 |
| The World is Changing: Improving Fair Training under Correlation Shifts Y Roh, K Lee, SE Whang, C Suh | | 2023 |
| Dependence of sound characteristics on the bowing position in a violin YJ Roh, YH Kim Journal of the Korean Physical Society 65 (11), 1853-1857, 2014 | | 2014 |
| FR-GAN: Fair and Robust Training Y Roh, K Lee, GJ Hwang, SE Whang, C Suh | | |
Steven Euijong WhangAssociate Professor with Tenure at KAIST EE and AIVerified email at kaist.ac.kr
