publications

2026

1. FIN

   Pattern-Guided Forecasting Framework for Metal Price Prediction with Grouping Decomposed Series

   Dongbin Kim, Jaewook Lee, and Hoki Kim

   Financial Innovation, 2026

   Abs DOI Bib HTML

   This paper introduces a pattern-guided forecasting framework (PGFF) for precious metal price prediction by leveraging cross-dimensional pattern relationships in decomposed time series.

   @article{kim2026pgff,
     title = {Pattern-Guided Forecasting Framework for Metal Price Prediction with Grouping Decomposed Series},
     author = {Kim, Dongbin and Lee, Jaewook and Kim, Hoki},
     journal = {Financial Innovation},
     volume = {12},
     number = {1},
     pages = {45},
     year = {2026},
     doi = {10.1186/s40854-025-00833-5},
   }

2. ICLR

   Local Geometry Attention for Time Series Forecasting under Realistic Corruptions

   Dongbin Kim, Youngjoo Park, Woojin Jeong, and 1 more author

   In The Fourteenth International Conference on Learning Representations, 2026

   Bib HTML

   @inproceedings{kim2026lga,
     title = {Local Geometry Attention for Time Series Forecasting under Realistic Corruptions},
     author = {Kim, Dongbin and Park, Youngjoo and Jeong, Woojin and Lee, Jaewook},
     booktitle = {The Fourteenth International Conference on Learning Representations},
     year = {2026},
   }

2024

1. NeurIPS

   Are Self-Attentions Effective for Time Series Forecasting?

   Dongbin Kim, Jinseong Park, Jaewook Lee, and 1 more author

   Advances in Neural Information Processing Systems, 2024

   Bib HTML Code

   @article{kim2024self,
     title = {Are Self-Attentions Effective for Time Series Forecasting?},
     author = {Kim, Dongbin and Park, Jinseong and Lee, Jaewook and Kim, Hoki},
     journal = {Advances in Neural Information Processing Systems},
     volume = {37},
     pages = {114180--114209},
     year = {2024},
   }