Packet layer model of HEVC wireless video quality assessment. - Jiefeng Guo; Keke Zheng; Gong Hu; Lianfen Huang (ICCSE, 2016)

Enhanced pipelined architecture of H.264/AVC intra prediction. - Jiefeng Guo; Zhixin Yang; Jianwei Zheng 002; Donghui Guo (Signal Process. Image Commun., 2016)

Hierarchical content importance-based video quality assessment for HEVC encoded videos transmitted over LTE networks. - Jiefeng Guo; Gong Hu; Weijian Xu; Lianfen Huang (J. Vis. Commun. Image Represent., 2017)

A Hardware-Efficient Block Matching Algorithm and Its Hardware Design for Variable Block Size Motion Estimation in Ultra-High-Definition Video Encoding. - Jianwei Zheng 002; Chao Lu 005; Jiefeng Guo; Deming Chen; Donghui Guo (ACM Trans. Design Autom. Electr. Syst., 2019)

Mixed Vertical-and-Horizontal-Text Traffic Sign Detection and Recognition for Street-Level Scene. - Jiefeng Guo; Rongxuan You; Lianfen Huang (IEEE Access, 2020)

No-reference omnidirectional video quality assessment based on generative adversarial networks. - Jiefeng Guo; Yao Luo (Multim. Tools Appl., 2021)

An HEVC-compliant perceptual video coding using just noticeable difference. - Jiefeng Guo (Multim. Tools Appl., 2022)

Multi-viewport based 3D convolutional neural network for 360-degree video quality assessment. - Jiefeng Guo; Lianfen Huang; Wei-Che Chien (Multim. Tools Appl., 2022)

Joint Under-Sampling Pattern Optimization and Content-Based Reconstruction Network for Fast MRI Reconstruction. - Shaocong Yu; Xueye Chu; Zhenglin Zhou; Jiefeng Guo; Xinghao Ding (ICIP, 2023)

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction. - Zi Wang 005; Xiaotong Yu; Chengyan Wang; Weibo Chen; Jiazheng Wang; Ying-Hua Chu; Hongwei Sun; Rushuai Li; Peiyong Li; Fan Yang; Haiwei Han; Taishan Kang; et al. (CoRR, 2023)

A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction. - Min Xiao; Zi Wang 005; Jiefeng Guo; Xiaobo Qu 001 (CoRR, 2023)

A 1D Plug-and-Play Synthetic Data Deep Learning For Undersampled Magnetic Resonance Image Reconstruction. - Min Xiao; Zi Wang 005; Jiefeng Guo; Di Guo; Xiaobo Qu 001 (ICIP, 2024)

One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction. - Zi Wang 005; Xiaotong Yu; Chengyan Wang; Weibo Chen; Jiazheng Wang; Ying-Hua Chu; Hongwei Sun; Rushuai Li; Peiyong Li; Fan Yang; Haiwei Han; Taishan Kang; et al. (Medical Image Anal., 2025)

Image quality assessment by enabling inter-patch message passing via graph convolutional networks. - Yufan Liu; Jiefeng Guo (Neural Comput. Appl., 2025)