Seungdong Yoa

According to our database, Seungdong Yoa authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

CoRR, February, 2026

AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection.

Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Seungdong Yoa, Dongmin Kim, Soonyoung Lee, Hankook Lee, Woohyung Lim

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection.

Dongmin Kim, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Seungdong Yoa, Soonyoung Lee, Woohyung Lim

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

CoRR, October, 2025

ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition.

Seungdong Yoa, Seungjun Lee, Hye-Seung Cho, Bumsoo Kim, Woohyung Lim

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2021

Learning Non-Parametric Surrogate Losses With Correlated Gradients.

Seungdong Yoa, Jinyoung Park, Hyunwoo J. Kim

IEEE Access, 2021

Self-Supervised Learning for Anomaly Detection With Dynamic Local Augmentation.

Seungdong Yoa, Seungjun Lee, Chiyoon Kim, Hyunwoo J. Kim

IEEE Access, 2021

Learning to Balance Local Losses via Meta-Learning.

Seungdong Yoa, Minkyu Jeon, Youngjin Oh, Hyunwoo J. Kim

IEEE Access, 2021