Abstract
Xingfeng Lv
Abstract
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Unresolved referenced work
Kept as external metadata until matched
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Kept as external metadata until matched
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A robust zero-shot framework based on adaptive illumination perception and trichromatic calibration for extreme low-light image enhancement
10.1016/j.engappai.2025.113388 · doi-reference
An infrared and visible image fusion method based on semantic-sensitive mask selection and bidirectional-collaboration region fusion
10.1109/tcsvt.2024.3520252 · doi-reference
One fits all: power general time series analysis by pretrained LM
10.52202/075280-1877 · doi-reference
PromptCast: a new prompt-based learning paradigm for time series forecasting
10.1109/tkde.2023.3342137 · doi-reference
OmniFuse: composite degradation-robust image fusion with language-driven semantics
10.1109/tpami.2025.3568433 · doi-reference
Multivariable financial time series forecasting based on phase space reconstruction compensation
10.1007/s00521-024-10650-z · doi-reference
Adaptive graph convolution neural networks with spatial and frequency domain attention mechanism for traffic flow forecasting
10.1016/j.asoc.2026.115156 · doi-reference