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Yuxuan Zhang

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Open access Sep 2026

LCR-Net: a progressive soft correction network for controlled low-light image enhancement

Low-light image enhancement (LLIE) requires a practical balance among visibility recovery, reconstruction fidelity, chromatic stability, exposure safety, and computational efficiency. Aggressive enhancement can reveal dark content but may introduce highlight saturation and color distortion, whereas conservative enhance...

Tao Jiang, Su-Hang Yang, Yu-Chen Lu et al. · 0 citations
Open access Sep 2026

DeCyReM: De-Cycled Residual Memory with Utility-Gated Retrieval for Traffic Flow Forecasting

Accurate traffic-flow forecasting remains challenged by abrupt and irregular states even after dominant periodic patterns are captured. Existing predictors model the resulting difficult errors implicitly through their parameters and cannot explicitly reuse specific historical errors at inference. We find that multi-hor...

Qian-Xin Xie, Jin-Feng Xu, Yu-Chen Lu et al. · 0 citations
Open access Jul 2026

RIFT-STGNN: Robust Interleaved Frequency–Trend Spatio-Temporal Graph Neural Network for Traffic Flow Forecasting

RIFT-STGNN, a Robust Interleaved Frequency–Trend Spatio-Temporal Graph Neural Network for multi-step traffic flow forecasting, follows a coordinated information flow and shows competitive numerical performance relative to selected literature-reported baselines under the 12-step setting.

Qian-Xin Xie, Jin-Feng Xu, Yuchen Lu et al. · 1 citation

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