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cs.LG2026
SpecLST: Spectral-Enhanced Long-Short Term Spatio-Temporal Multimodal Modeling for Traffic Forecasting
Kenan Kang, Matthew M. Y. Kuo, Weihua Li
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 co…
cs.SD2026
Whole-Piece Training for Symbolic Music Language Models via Full-Horizon Compressed Recurrence
Yungang Yi, Weihua Li, Matthew Kuo +2
For computational efficiency, modern language models are typically trained on independently sampled fixed-length sequences. Symbolic music language models largely inherit this para…