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Ye Seul Sim
Observed names:
Seul Sim, Ye,
Sim, Ye Seul
Institution:
LG AI Research (South Korea)
Observed institutions:
Korea Advanced Institute of Science and Technology,
LG (United States),
LG (South Korea),
LG AI Research (South Korea)
ORCID:
0009-0006-5082-5790
Observed ORCID:
0009-0006-5082-5790
OpenAlex ID:
A5089591324
Range-limited Augmentation for Few-shot Learning in Tabular Data with Comprehensive Benchmark
2025
·
Kyungeun Lee
, Moonjung Eo
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
2
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
2025
·
Suhee Yoon
, Sanghyu Yoon
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
2
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data
2025
·
Moonjung Eo
, Kyungeun Lee
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
2
PDF
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
2024
·
Lee, Kyungeun
, Sim, Ye Seul
, et al.
·
arXiv (Cornell University)
·
2
PDF
Efficient Multi-Agent Reasoning via Confidence-Guided Adaptive Debate
2026
·
Yoa, Seungdong
, Sim, Ye Seul
, et al.
·
arXiv (Cornell University)
PDF
MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains
2026
·
Kyungeun Lee
, Moonjung Eo
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection
2026
·
Dongmin Kim
, Ye Seul Sim
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
PDF
AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection
2026
·
Association for Computational Linguistics 2026
, Kim, Dongmin
, et al.
·
Underline Science Inc.
From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning
2026
·
Yoa, Seungdong
, Yoon, Sanghyu
, et al.
·
arXiv (Cornell University)
PDF
AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection
2026
·
Suhee Yoon
, Sanghyu Yoon
, et al.
·
Findings of the Association for Computational Linguistics: EACL
PDF
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection
2025
·
Yoon, Sanghyu
, Kim, Dongmin
, et al.
·
arXiv (Cornell University)
PDF
Ae-som을 이용한 Eva 생산 공정 이상 검출 및 진단
2020
·
Byeong Eon Park
, Yumi Ji
, et al.
·
Korean Journal of Chemical Engineering
Processing History Dependent Control Parameter Estimation in Multi-step Batch Processes
2013
·
Ye Seul Sim
, Joohyun Shin
, et al.
·
IFAC Proceedings Volumes
Processing history dependent parameter estimation – an application to run-to-run batch process
2013
·
Ye Seul Sim
, Joohyun Shin
, et al.
Feed characteristics dependent control parameter estimation by multivariate analysis in batch processes
2013
·
Ye Seul Sim
, Joohyun Shin
, et al.
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Works count:
15
Citation count:
8
H-index:
2
I10-index:
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