Xinggan Peng — accepted AI-conference papers

2026

PGMamba: A Physical Model-Guided Global Mamba for Underwater Image Enhancement

Zijun Tan, Chuan Fu, Tan Guo, Zhixiong Nan, Pengzhan Zhou, Xinggan Peng +1

AAAI 2026technical

Underwater image enhancement (UIE) aims to address image degradation caused by water absorption and scattering effects. Despite significant progress in deep learning-based UIE methods, existing approaches still face key challenges due to the neglect of physical imaging principle. Moreover, while cur

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2022

Multiple Temporal Context Embedding Networks for Unsupervised time Series Anomaly Detection

Hanhui Li, Xinggan Peng, Huiping Zhuang, Zhiping Lin

ICASSP 2022accepted

Unsupervised anomaly detection for time series signals is challenging, due to the imbalanced distribution of data and the lack of ground-truth labels. Current methods on this topic are mainly based on deep neural networks, which are optimized by heuristic constraints or empirical priors. However, va…

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