A Improved Shape Model for Phenology Detection of Early Rice. - Shicheng Liao (IGARSS, 2022)

A Modified Shape Model Incorporating Continuous Accumulated Growing Degree Days for Phenology Detection of Early Rice. - Shicheng Liao; Xiong Xu; Huan Xie; Peng Chen 025; Chao Wang 092; Yanmin Jin; Xiaohua Tong; Changjiang Xiao (Remote. Sens., 2022)

FEUNet: a flexible and effective U-shaped network for image denoising. - Wencong Wu; Guannan Lv; Shicheng Liao; Yungang Zhang (Signal Image Video Process., 2023)

Assessing the Accuracy of Multi-Temporal GlobeLand30 Products in China Using a Spatiotemporal Stratified Sampling Method. - Yali Gong; Huan Xie; Shicheng Liao; Yao Lu; Yanmin Jin; Chao Wei; Xiaohua Tong (Remote. Sens., 2023)

Association filtering and generative adversarial networks for predicting lncRNA-associated disease. - Hua Zhong; Jing Luo; Lin Tang; Shicheng Liao; Zhonghao Lu; Guoliang Lin; Robert W. Murphy; Lin Liu (BMC Bioinform., 2023)

Validation of Multi-Temporal Land-Cover Products Considering Classification Error Propagation. - Shicheng Liao; Huan Xie; Yali Gong; Yanmin Jin; Xiong Xu; Peng Chen 025; Xiaohua Tong (Remote. Sens., 2024)

Image blind denoising using dual convolutional neural network with skip connection. - Wencong Wu; Shicheng Liao; Guannan Lv; Peng Liang 020; Yungang Zhang (Signal Process. Image Commun., 2025)