Yoon, Sanghyu

6 publications

ICLR 2026 From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning Seungdong Yoa, Sanghyu Yoon, Suhee Yoon, Dongmin Kim, Ye Seul Sim, Junhyun Lee, Woohyung Lim

ICLR 2026 ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection Sanghyu Yoon, Dongmin Kim, Suhee Yoon, Ye Seul Sim, Seungdong Yoa, Hye-Seung Cho, Soonyoung Lee, Hankook Lee, Woohyung Lim

AAAI 2025 Diffusion-Based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Hankook Lee, Woohyung Lim

ICML 2024 Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains Kyungeun Lee, Ye Seul Sim, Hyeseung Cho, Moonjung Eo, Suhee Yoon, Sanghyu Yoon, Woohyung Lim

NeurIPSW 2023 Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains Kyungeun Lee, Ye Seul Sim, Hyeseung Cho, Suhee Yoon, Sanghyu Yoon, Woohyung Lim

NeurIPSW 2023 Diffusion-Based Semantic-Discrepant Outlier Generation for Out-of-Distribution Detection Suhee Yoon, Sanghyu Yoon, Hankook Lee, Sangjun Han, Ye Seul Sim, Kyungeun Lee, Hyeseung Cho, Woohyung Lim