A no-reference quality assessment for contrast-distorted image based on improved learning method. - Yaojun Wu 001; Yonghe Zhu; Yang Yang 059; Weiming Zhang 001; Nenghai Yu (Multim. Tools Appl., 2019)

Learned Video Compression with Feature-level Residuals. - Runsen Feng; Yaojun Wu 001; Zongyu Guo; Zhizheng Zhang 004; Zhibo Chen 001 (CVPR Workshops, 2020)

3-D Context Entropy Model for Improved Practical Image Compression. - Zongyu Guo; Yaojun Wu 001; Runsen Feng; Zhizheng Zhang 004; Zhibo Chen 001 (CVPR Workshops, 2020)

Learning Disentangled Feature Representation for Hybrid-Distorted Image Restoration. - Xin Li 082; Xin Jin 014; Jianxin Lin; Sen Liu 001; Yaojun Wu 001; Tao Yu 012; Wei Zhou 021; Zhibo Chen 001 (ECCV (29), 2020)

FAN: Frequency Aggregation Network for Real Image Super-Resolution. - Yingxue Pang; Xin Li 082; Xin Jin 014; Yaojun Wu 001; Jianzhao Liu; Sen Liu 001; Zhibo Chen 001 (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. - Pengxu Wei; Hannan Lu; Radu Timofte; Liang Lin; Wangmeng Zuo; Zhihong Pan 001; Baopu Li; Teng Xi; Yanwen Fan; Gang Zhang; Jingtuo Liu; Junyu Han; et al. (ECCV Workshops (3), 2020)

Memorize, Then Recall: A Generative Framework for Low Bit-Rate Surveillance Video Compression. - Yaojun Wu 001; Tianyu He; Zhibo Chen 001 (ISCAS, 2020)

Perceptual Friendly Variable Rate Image Compression. - Yixin Gao; Yaojun Wu 001; Zongyu Guo; Zhizheng Zhang 004; Zhibo Chen 001 (CVPR Workshops, 2021)

Transform Skip Inspired End-to-End Compression for Screen Content Image. - Meng Wang 017; Kai Zhang 007; Li Zhang 006; Yaojun Wu 001; Yue Li 015; Junru Li; Shiqi Wang 001 (ICIP, 2022)

Learned Block-Based Hybrid Image Compression. - Yaojun Wu 001; Xin Li 082; Zhizheng Zhang 004; Xin Jin 014; Zhibo Chen 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

QVRF: A Quantization-Error-Aware Variable Rate Framework for Learned Image Compression. - Kedeng Tong; Yaojun Wu 001; Yue Li 015; Kai Zhang 007; Li Zhang 006; Xin Jin 002 (ICIP, 2023)

Fidelity-preserving Learning-Based Image Compression: Loss Function and Subjective Evaluation Methodology. - Shima Mohammadi; Yaojun Wu 001; João Ascenso (VCIP, 2023)

Leveraging Conv-Attention for Efficient and High-Quality JPEG AI Image Coding. - Meng Wang 017; Semih Esenlik; Zhaobin Zhang; Yaojun Wu 001; Kai Zhang 007; Li Zhang 006; Shiqi Wang 001 (DCC, 2024)

Optimized Decoupled Structure with Non-Local Attention for Deep Image Compression. - Xuanye Zhang; Zhaobin Zhang; Yaojun Wu 001; Semih Esenlik; Xiaoyan Sun; Kai Zhang 007; Li Zhang 006 (ICIP, 2024)

Wavelet-like Transform with Subbands Fusion in Decoupled Structure for Deep Image Compression. - Ke Ma; Yaojun Wu 001; Zhaobin Zhang; Semih Esenlik; Xiaoyan Sun; Kai Zhang 007; Li Zhang 006 (PCS, 2024)

End-to-End Learning-Based Image Compression With a Decoupled Framework. - Zhaobin Zhang; Semih Esenlik; Yaojun Wu 001; Meng Wang 017; Kai Zhang 007; Li Zhang 006 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Entropy-Adapter-Based Deep Image Compression for User-Generated Content with Knowledge Distillation. - Ke Ma; Yaojun Wu 001; Chaoyi Lin; Zhipin Deng; Xiaoyan Sun (DCC, 2025)