Author

Jae-Gil Lee

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Book Open access Nov 2026

STAAR: Spatio-Temporal Attention over Adaptive Regions for Traffic Forecasting

Accurate traffic forecasting is essential for Intelligent Transportation Systems (ITS). Attention-based Spatio-Temporal Graph Neural Networks (STGNNs) have been widely adopted to capture long-range spatial dependencies, but their node-level attention incurs quadratic complexity and limits scalability in large-scale tra...

Jeongwoo Son, Jih-Ye Na, Uimin Lee et al. · Proceedings of the 35th ACM... · 0 citations

Breaking the Reference Bottleneck via Learning to Rewrite Conversational Queries without Gold Reference Passages

A novel reference-free preference optimization framework D UAL R EFORM that generates pseudo reference passages from commonly-encountered conversational datasets containing only queries and responses that achieves 96.9–99.1% of the retrieval accuracy attainable only with reference passages.

Doyoung Kim, Youngjun Lee, Joeun Kim et al. · 0 citations