Blind Additive Gaussian White Noise Level Estimation from a Single Image by Employing Chi-Square Distribution. - Zhicheng Wang; Qing An; Zifan Zhu; Hao Fang; Zhenghua Huang (Entropy, 2022)

DLRP: Learning Deep Low-Rank Prior for Remotely Sensed Image Denoising. - Zhenghua Huang; Zhicheng Wang; Zifan Zhu; Yaozong Zhang; Hao Fang; Yu Shi 004; Tianxu Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

Luminance Learning for Remotely Sensed Image Enhancement Guided by Weighted Least Squares. - Zhenghua Huang; Zifan Zhu; Qing An; Zhicheng Wang; Qin Zhou 005; Tianxu Zhang; Ali Saleh Alshomrani (IEEE Geosci. Remote. Sens. Lett., 2022)

Erratum to "Luminance Learning for Remotely Sensed Image Enhancement Guided by Weighted Least Squares". - Zhenghua Huang; Zifan Zhu; Qing An; Zhicheng Wang; Qin Zhou 005; Tianxu Zhang; Ali Saleh Alshomrani (IEEE Geosci. Remote. Sens. Lett., 2022)

"Study on Derived Risks and Its Governances of "Social Embedding " of Artificial Intelligence Algorithm". - Yue Zhang; Zifan Zhu; Zhenbo Xu (AISNS, 2023)

DGDNet: Deep Gradient Descent Network for Remotely Sensed Image Denoising. - Zhenghua Huang; Zifan Zhu; Zhicheng Wang; Yu Shi 004; Hao Fang; Yaozong Zhang (IEEE Geosci. Remote. Sens. Lett., 2023)

D3CNNs: Dual Denoiser Driven Convolutional Neural Networks for Mixed Noise Removal in Remotely Sensed Images. - Zhenghua Huang; Zifan Zhu; Zhicheng Wang; Xi Li; Biyun Xu; Yaozong Zhang; Hao Fang (Remote. Sens., 2023)

MD3: Model-Driven Deep Remotely Sensed Image Denoising. - Zhenghua Huang; Zifan Zhu; Yaozong Zhang; Zhicheng Wang; Biyun Xu; Jun Liu 072; Shaoyi Li; Hao Fang (Remote. Sens., 2023)

DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM. - Wenxuan Zuo; Zifan Zhu; Yuxuan Du; Yi-Chun Yeh; Jed A. Fuhrman; Jinchi Lv; Yingying Fan; Fengzhu Sun (CoRR, 2024)

Customizable 6 degrees of freedom grasping dataset and an interactive training method for graph convolutional network. - Wanhao Niu; Zifan Zhu; Haowen Wang; Chungang Zhuang (Eng. Appl. Artif. Intell., 2024)

PDTE: Pyramidal deep Taylor expansion for optical flow estimation. - Zifan Zhu; Qing An; Chen Huang; Zhenghua Huang; Likun Huang; Hao Fang (Pattern Recognit. Lett., 2024)

TMSF: Taylor expansion approximation network with multi-stage feature representation for optical flow estimation. - Zhenghua Huang; Wen Hu; Zifan Zhu; Qian Li; Hao Fang (Digit. Signal Process., 2025)