| 2024 | DCC | Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding. | Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han |
| 2024 | ECCV | WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model. | Haisheng Fu, Jie Liang, Zhenman Fang, Jingning Han, Feng Liang, Guohe Zhang |
| 2024 | ICASSP | Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-Wise Causal Context Model. | Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han |
| 2023 | ICASSP | ROI-Based Deep Image Compression with Swin Transformers. | Binglin Li, Jie Liang, Haisheng Fu, Jingning Han |
| 2022 | PCS | Learned Image Compression with Inception Residual Blocks and Multi-Scale Attention Module. | Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jiangning Han |
| 2020 | MMSP | Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution. | Jianping Lin, Mohammad Akbari, Haisheng Fu, Qian Zhang, Shang Wang, Jie Liang, Dong Liu, Feng Liang, Guohe Zhang, Chengjie Tu |