A Deep Image Compression Framework for Face Recognition. - Nai Bian; Feng Liang 001; Haisheng Fu; Bo Lei (CoRR, 2019)

Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution. - Jianping Lin; Mohammad Akbari; Haisheng Fu; Qian Zhang 082; Shang Wang; Jie Liang 001; Dong Liu 002; Feng Liang 001; Guohe Zhang; Chengjie Tu (MMSP, 2020)

An Extended Hybrid Image Compression Based on Soft-to-Hard Quantification. - Haisheng Fu; Feng Liang 001; Bo Lei (IEEE Access, 2020)

Improved hybrid layered image compression using deep learning and traditional codecs. - Haisheng Fu; Feng Liang 001; Bo Lei; Nai Bian; Qian Zhang 082; Mohammad Akbari; Jie Liang 001; Chengjie Tu (Signal Process. Image Commun., 2020)

Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules. - Haisheng Fu; Feng Liang 001; Jianping Lin; Bing Li 022; Mohammad Akbari; Jie Liang 001; Guohe Zhang; Dong Liu 002; Chengjie Tu; Jingning Han (CoRR, 2021)

An extended context-based entropy hybrid modeling for image compression. - Haisheng Fu; Feng Liang 001; Bo Lei; Qian Zhang 082; Jie Liang 001; Chengjie Tu; Guohe Zhang (Signal Process. Image Commun., 2021)

A High-Performance and Low-Cost Montgomery Modular Multiplication Based on Redundant Binary Representation. - Bing Li 022; Jinlei Wang; Guocheng Ding; Haisheng Fu; Bingjie Lei; Haitao Yang; Jiangang Bi; Shaochong Lei (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Learned Image Compression with Inception Residual Blocks and Multi-Scale Attention Module. - Haisheng Fu; Feng Liang 001; Jie Liang 001; Binglin Li; Guohe Zhang; Jiangning Han (PCS, 2022)

Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering. - Haisheng Fu; Feng Liang 001; Jie Liang 001; Binglin Li; Guohe Zhang; Jingning Han (CoRR, 2022)

ROI-Based Deep Image Compression with Swin Transformers. - Binglin Li; Jie Liang; Haisheng Fu; Jingning Han (ICASSP, 2023)

ROI-based Deep Image Compression with Swin Transformers. - Binglin Li; Jie Liang 001; Haisheng Fu; Jingning Han (CoRR, 2023)

Learned image compression with generalized octave convolution and cross-resolution parameter estimation. - Haisheng Fu; Feng Liang 001 (Signal Process., 2023)

Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules. - Haisheng Fu; Feng Liang 001; Jianping Lin; Bing Li 022; Mohammad Akbari; Jie Liang 001; Guohe Zhang; Dong Liu 002; Chengjie Tu; Jingning Han (IEEE Trans. Image Process., 2023)

Asymmetric Learned Image Compression With Multi-Scale Residual Block, Importance Scaling, and Post-Quantization Filtering. - Haisheng Fu; Feng Liang 001; Jie Liang 001; Binglin Li; Guohe Zhang; Jingning Han (IEEE Trans. Circuits Syst. Video Technol., 2023)

Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding. - Haisheng Fu; Feng Liang 001; Jie Liang 001; Zhenman Fang; Guohe Zhang; Jingning Han (DCC, 2024)

WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model. - Haisheng Fu; Jie Liang 001; Zhenman Fang; Jingning Han; Feng Liang 001; Guohe Zhang (ECCV (50), 2024)

Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-Wise Causal Context Model. - Haisheng Fu; Feng Liang 001; Jie Liang 001; Zhenman Fang; Guohe Zhang; Jingning Han (ICASSP, 2024)

LH-YOLO: A Lightweight and High-Precision SAR Ship Detection Model Based on the Improved YOLOv8n. - Qi Cao; Hang Chen; Shang Wang; Yongqiang Wang; Haisheng Fu; Zhenjiao Chen; Feng Liang 001 (Remote. Sens., 2024)

Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation. - Haisheng Fu; Feng Liang 001; Jie Liang 001; Yongqiang Wang; Zhenman Fang; Guohe Zhang; Jingning Han (IEEE Trans. Image Process., 2024)

Toward Multitask Perception for Remote Sensing Imagery via Compression and Prompt Tuning. - Yongqiang Wang; Feng Liang 001; Hang Chen; Haisheng Fu; Jiro Katto (IEEE Geosci. Remote. Sens. Lett., 2025)

S2LIC: Learned image compression with the SwinV2 block, Adaptive Channel-wise and Global-inter attention Context. - Yongqiang Wang; Haisheng Fu; Qi Cao; Shang Wang; Zhenjiao Chen; Feng Liang 001 (Neural Networks, 2025)

Para-YOLO: An Efficient High-Parameter Low-Computation Algorithm Based on YOLO11n for Remote Sensing Object Detection. - Hang Chen; Qi Cao; Yongqiang Wang; Shang Wang; Haisheng Fu; Zhenjiao Chen; Feng Liang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image Compression. - Haisheng Fu; Jie Liang 001; Zhenman Fang; Jingning Han (CoRR, 2025)

3DM-WeConvene: Learned Image Compression with 3D Multi-Level Wavelet-Domain Convolution and Entropy Model. - Haisheng Fu; Jie Liang 001; Feng Liang 001; Zhenman Fang; Guohe Zhang; Jingning Han (CoRR, 2025)

SC-IMC: Algorithm-Architecture Co-Optimized SRAM-Based In-Memory Computing for Sine/Cosine and Convolutional Acceleration. - Qi Cao; Shang Wang; Haisheng Fu; Qifan Gao; Zhenjiao Chen; Li Gao; Feng Liang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2025)