Author

Sungdong Yoo

Observed name: Yoo, Sungdong

Institutions: LG AI Research (South Korea), Ulsan National Institute of Science and Technology

Observed institutions: Korea University, LG AI Research (South Korea), Ulsan National Institute of Science and Technology

ORCID: 0009-0003-1663-6345

Observed ORCID: 0009-0003-1663-6345

OpenAlex ID: A5084039433

Graph Transformer Networks: Learning meta-path graphs to improve GNNs

2022 · Seongjun Yun, Minbyul Jeong, et al. · Neural Networks · 897

Deformable Graph Convolutional Networks

2022 · Jinyoung Park, Sungdong Yoo, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 30

When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analysis

2026 · Hoyoung Lee, Suhwan Park, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 7

Not All Retrievals are Useful: Cross-Attention for Input-Aware RAG in Time Series Forecasting

2026 · Lee, Seunghan, Lee, Jaehoon, et al. · arXiv (Cornell University) · 5

EXAONE Finance 1.0: An Attention-free Time Series Foundation Model for Financial Time Series

2026 · Lee, Seunghan, Lee, Jaehoon, et al. · arXiv (Cornell University) · 4

Beyond Magnitude and Shape: A Direction-Aware Loss for Time Series Forecasting

2026 · Lee, Seunghan, Lee, Jaehoon, et al. · arXiv (Cornell University) · 4

Rethinking Multimodal Fusion for Time Series: Text Modalities Need Constrained Fusion

2026 · Lee, Seunghan, Seo, Jun, et al. · arXiv (Cornell University) · 3

FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing

2026 · Lee, Jaehoon, Park, Suhwan, et al. · arXiv (Cornell University) · 3

Adaptive Information Routing for Multimodal Time Series Forecasting

2025 · Seo, Jun, Choe, Hyeokjun, et al. · arXiv (Cornell University) · 3

FinVerse: Toward More Realistic Evaluation for Financial Time-Series Forecasting

2026 · Lee, Jaehoon, Seo, Jun, et al. · arXiv (Cornell University) · 2

FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models

2026 · Seunghan Lee, Jun Seo, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2

THEME: Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics

2025 · Hoyoung Lee, Wonbin Ahn, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 2

PALM: Point-in-Time Adaptation for Financial Language Models

2026 · Lee, Seunghan, Seo, Jun, et al. · arXiv (Cornell University) · 1

QUAL: Quantile Alignment Improves Zero-Shot Time-Series Foundation Models

2026 · Kang, Junhyeok, Han, Sangjun, et al. · arXiv (Cornell University)

Not All Information Is Worth Asking For: Decision-Informed Information Seeking with LLMs

2026 · Lee, Seunghan, Seo, Jun, et al. · arXiv (Cornell University)

XForecast: The KDD 2026 Finance Day Challenge on News-Grounded Financial Forecasting

2026 · Lee, Jaehoon, Seo, Jun, et al. · arXiv (Cornell University)

OneShot: Label-Efficient Detector Weighting for Time Series Anomaly Detection

2026 · Lee, Seunghan, Seo, Jun, et al. · arXiv (Cornell University)

EXAONE Demand 1.0: A Time Series Foundation Model for Demand Forecasting

2026 · Lee, Seunghan, Han, Sangjun, et al. · arXiv (Cornell University)

Explaining Time Series Forecasting with Horizon-Resolved Attribution

2026 · Lee, Seunghan, Seo, Jun, et al. · arXiv (Cornell University)

FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing

2026 · Jaehoon Lee, Suhwan Park, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

ReasonCast: Towards Explainable Time Series Forecasting with Reasoning

2026 · Lee, Seunghan, Seo, Jun, et al. · arXiv (Cornell University)

AdaTKG: Adaptive Memory for Temporal Knowledge Graph Reasoning

2026 · Lee, Seunghan, Seo, Jun, et al. · arXiv (Cornell University)

Works count: 22

Citation count: 963

H-index: 4

I10-index: 2