Author

Lin-Feng Wang

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Oct 2026

QiYao-I: A Manifold Based Foundation Model for Irregular Multivariate Time Series Forecasting

Irregular multivariate time series forecasting is a challenging yet important problem in real-world applications, where observations are often irregularly sampled and asynchronously recorded across variables. Existing time series foundation models are mostly built on regularly sampled sequences, making them difficult t...

Lin-Feng Wang, Rui-Tong Zhang, Kai Zhao et al. · 0 citations

#machine learning Preprint Sep 2026

QiYao-M: Multimodal Time Series Foundation Model with Role-Aware Modeling of Endogenous and Exogenous Modalities

The proposed QiYao-M is a role-aware multimodal TSFM that models the two types of modalities separately, including endogenous and exogenous modalities, and introduces Endo-Modality Proxy Training to train this retrieval module without exogenous multimodal pretraining data.

Han-Yin Cheng, Lin-Feng Wang, Zheng-Bo Qu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

BITS: Rethinking Fair and Comprehensive Evaluation for Irregular Time Series Forecasting

BITS, a standardized, reproducible, and extensible benchmark for advancing research on irregular time series forecasting, is proposed and it is found that method performance varies substantially across irregularity characteristics, with no single modeling strategy consistently dominating.

Kang-Jia Yan, Lin-Feng Wang, Tian Shen et al. · 0 citations