Whang, Steven Euijong

11 publications

NeurIPS 2025 MIDAS: Misalignment-Based Data Augmentation Strategy for Imbalanced Multimodal Learning Seong-Hyeon Hwang, Soyoung Choi, Steven Euijong Whang

ICLR 2025 PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim, Yuji Roh, Geon Heo, Steven Euijong Whang

CVPR 2025 T-CIL: Temperature Scaling Using Adversarial Perturbation for Calibration in Class-Incremental Learning Seong-Hyeon Hwang, Minsu Kim, Steven Euijong Whang

NeurIPS 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

ICML 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

AAAI 2024 Quilt: Robust Data Segment Selection Against Concept Drifts Minsu Kim, Seonghyeon Hwang, Steven Euijong Whang

TMLR 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

ICML 2023 Improving Fair Training Under Correlation Shifts Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh

AAAI 2023 Redactor: A Data-Centric and Individualized Defense Against Inference Attacks Geon Heo, Steven Euijong Whang

AAAI 2023 XClusters: Explainability-First Clustering Hyunseung Hwang, Steven Euijong Whang

ICLR 2021 FairBatch: Batch Selection for Model Fairness Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh