Self-calibrated Attention Residual Network for Image Super-Resolution. - Anqi Rong; Li Zhao 005; Pengcheng Huang 002; Jiawei Xu 004 (IEEE BigData, 2020)

Feature Fusion Based on Sparse Block for Image Super-resolution. - Shengping Wang; Li Zhao 005; Runhua Jiang; Pengcheng Huang 002; Jiawei Xu 004 (IEEE BigData, 2020)

Multi-level Feature Fusion Network for Single Image Super-Resolution. - Xinxia Zhang; Xiaoqin Zhang 002; Li Zhao 005; Runhua Jiang; Pengcheng Huang 002; Jiawei Xu 004 (IEEE BigData, 2020)

Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals. - Xiaoqin Zhang 002; Runhua Jiang; Chen-Xiang Fan; Tian-Yu Tong; Tao Wang 052; Peng-Cheng Huang 002 (Int. J. Autom. Comput., 2021)

Self-filtering image dehazing with self-supporting module. - Pengcheng Huang 002; Li Zhao 005; Runhua Jiang; Tao Wang 052; Xiaoqin Zhang 002 (Neurocomputing, 2021)

Haze concentration adaptive network for image dehazing. - Tao Wang 052; Li Zhao 005; Pengcheng Huang 002; Xiaoqin Zhang 002; Jiawei Xu 004 (Neurocomputing, 2021)

Attention-based interpolation network for video deblurring. - Xiaoqin Zhang 002; Runhua Jiang; Tao Wang 052; Pengcheng Huang 002; Li Zhao 005 (Neurocomputing, 2021)

Multi-Level Fusion and Attention-Guided CNN for Image Dehazing. - Xiaoqin Zhang 002; Tao Wang 052; Wenhan Luo; Pengcheng Huang 002 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Dynamic feature learning for COVID-19 segmentation and classification. - Xiaoqin Zhang 002; Runhua Jiang; Pengcheng Huang 002; Tao Wang 052; Mingjun Hu; Andrew F. Scarsbrook; Alejandro F. Frangi (Comput. Biol. Medicine, 2022)