Author

Yi-Ning Liu

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Preprint Sep 2026

GeoCueFormer: Geometry-Guided Wavelet Representation and Prediction-Cued Dual-Stage Decoder for Underwater Semantic Segmentation

Underwater semantic segmentation is essential for marine ecosystem monitoring, yet remains challenging due to severe visual degradation. Light absorption and scattering often lead to color shifts, low contrast, and blurred boundaries, making shallow detail features unreliable. Existing underwater segmentation methods i...

Xian Wu, Xin-Jin Li, Yi-Liu Xu et al. · 1 citation

#machine learning Preprint Sep 2026

CoRe: Coherence and Relational Alignment for Multivariate Time Series Forecasting

CoRe is proposed, a model-agnostic learning objective for direct multivariate forecasting that replaces pointwise supervision with two output-space constraints: a frequency coherence loss that aligns predicted and target spectra, and a low-rank relational graph loss that matches sampled pairwise differences in a target...

Xiao-Yu Lin, Hui-Ran Duan, Yi-Ning Liu et al. · 0 citations

#machine learning Preprint Sep 2026

AsyncCouple-Flow: Asynchronous Cross-Modal Coupling and Flow Matching for Spatio-Temporal Forecasting

Experiments on ERA5+GOES+ISD weather forecasting and PEMS-BAY traffic prediction with multi-source side information show that AsyncCouple-Flow outperforms state-of-the-art baselines and remains robust with up to two missing modalities.

Zhi-Xiang Wu, Yi-Ning Liu, Bo Zhao et al. · 0 citations