Author

Matthew Kuo

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Preprint Oct 2026

SpecLST: Spectral-Enhanced Long-Short Term Spatio-Temporal Multimodal Modeling for Traffic Forecasting

Modeling multi-scale dynamics in urban road networks is essential for intelligent transportation systems but is often hindered by the computational cost of long-range historical context and the challenge of fusing heterogeneous modalities. Existing spatio-temporal frameworks face a trade-off between sequence length and...

Ke-Nan Kang, Matthew M. Y. Kuo, Wei-Hua Li · 0 citations

#artificial intelligence Preprint Feb 2026

Whole-Piece Training for Symbolic Music Language Models via Full-Horizon Compressed Recurrence

Findings show that preserving the temporal extent of recurrent history is important for efficient whole-piece modeling, and that memory cost can instead be reduced through KV representation compression.

Yungang Yi, Weihua Li, Matthew Kuo et al. · 0 citations