一、个人基本信息

应杨珂，男，1996年7月，河南南阳人，工学博士，助理教授。

二、研究方向

高光谱图像重建，压缩感知，底层视觉任务。

三、代表性研究成果

1.MYing Y, Wang J, Shi Y, et al. Dual-Domain Feature Fusion and Multi-Level emory-Enhanced Network for Spectral Compressive Imaging[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024. （SCI, Top1区）

2.Ying Y, Wang J, Shi Y, et al. Spectral Memory-Enhanced Network with Local Non-local and Low-rank Priors for Hyperspectral Compressive Imaging[J]. IEEE Transactions on Computational Imaging, 2024.

3.Ying Y, Wang J, Shi Y, et al. Hybrid Sparse Transformer and Wavelet Fusion-Based Deep Unfolding Network for Hyperspectral Snapshot Compressive Imaging[J]. Sensors, 2024, 24(19): 6184.

4.Ying Y, Wang J, Shi Y, et al. Dual-domain feature learning and memory-enhanced unfolding network for spectral compressive imaging[C]//2023 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2023: 1589-1594. （CCF B类会议）

四、联系方式

yingyangke@henu.edu.cn