Author

Yang Yang

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#artificial intelligence Jun 2026

UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation

This work proposes UPLOTS, a Unified, Prompt-guided Language model framework that leverages a single pre-trained transformer backbone guided by learned constraint prompts, enabling on-demand generation with precise pattern control in time-series generation.

Du Yin, Hao Xue, Jin-Liang Deng et al. · arXiv.org · 0 citations

Jul 2026

StrideDiffusion: Accelerating Diffusion Models for Time-series Generation

Results show that spectral evolution provides a practical and principled signal for fast time-series diffusion sampling, and a training-free spectral-aware sampler that adaptively selects the denoising stride from band-level activity.

Du Yin, Estrid He, Julián Jerónimo Bañuelos et al. · arXiv.org · 0 citations