Author

Wei Fan

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Preprint Oct 2026

TimesJev: Thinking Fast on Time Series with System 1 Sufficiency

Large language models (LLMs) have recently shown strong potential for time series reasoning, while models that reason over time series are usually with long chains of thought. However, this process often consumes thousands of tokens, directly leading to substantial latency during inference. In contrast, System 1 models...

Cheng-Hao Liu, Wei Fan, Jin-Dong Han et al. · 0 citations

#machine learning Preprint Sep 2026

DynG-Diff: A State-Aware Dynamic Guidance Diffusion Framework for Probabilistic Time Series Forecasting

DynG-Diff, a variable-sensitive dynamic guidance diffusion framework for probabilistic multivariate time-series forecasting, mathematically formulates this dynamic weight as the local precision of the observation distribution, enabling precise guidance for high-confidence variables during inference while filtering out...

Zhen-Te Zhang, Zheng-Wei Ni, Wei Fan · 0 citations