Feng Liang

According to our database, Feng Liang authored at least 28 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Weight Mapping Strategy for More Fully Exploiting Data in CIM-Based CNN Accelerator.

Shang Wang, Feng Liang, Qi Cao, Yongqiang Wang, Haoyuan Li, Junzhe Liang

IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

2023

Asymmetric Learned Image Compression With Multi-Scale Residual Block, Importance Scaling, and Post-Quantization Filtering.

Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jingning Han

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules.

Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han

IEEE Trans. Image Process., 2023

Learned image compression with generalized octave convolution and cross-resolution parameter estimation.

Haisheng Fu, Feng Liang

Signal Process., 2023

2022

High-Dimensional Bayesian Optimization for Analog Integrated Circuit Sizing Based on Dropout and g/I Methodology.

Chen Chen, Hongyi Wang, Xinyue Song, Feng Liang, Kaikai Wu, Tao Tao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering.

Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jingning Han

CoRR, 2022

Learned Image Compression with Inception Residual Blocks and Multi-Scale Attention Module.

Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jiangning Han

Proceedings of the Picture Coding Symposium, 2022

ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation.

Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

An extended context-based entropy hybrid modeling for image compression.

Haisheng Fu, Feng Liang, Bo Lei, Qian Zhang, Jie Liang, Chengjie Tu, Guohe Zhang

Signal Process. Image Commun., 2021

Efficient neural network using pointwise convolution kernels with linear phase constraint.

Feng Liang, Zhichao Tian, Ming Dong, Shuting Cheng, Li Sun, Hai Li, Yiran Chen, Guohe Zhang

Neurocomputing, 2021

Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules.

Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han

CoRR, 2021

Human identification using micro-motion and LPCP-Cov neural networks.

Ran Wang, Hua Xu, Feng Liang, Guohe Zhang, Li Sun

Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021

NASGEM: Neural Architecture Search via Graph Embedding Method.

Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Improved hybrid layered image compression using deep learning and traditional codecs.

Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian Zhang, Mohammad Akbari, Jie Liang, Chengjie Tu

Signal Process. Image Commun., 2020

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition.

Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen

CoRR, 2020

An Extended Hybrid Image Compression Based on Soft-to-Hard Quantification.

Haisheng Fu, Feng Liang, Bo Lei

IEEE Access, 2020

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

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

2019

A Deep Image Compression Framework for Face Recognition.

Nai Bian, Feng Liang, Haisheng Fu, Bo Lei

CoRR, 2019

2018

Design of 16-bit fixed-point CNN coprocessor based on FPGA.

Feng Liang, Yichen Yang, Guohe Zhang, Xueliang Zhang, Bin Wu

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

The Design of Objects Bounding Boxes Non-Maximum Suppression and Visualization Module Based on FPGA.

Feng Liang, Shaofei Yang, Tinrui Mai, Yichen Yang

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

2015

A novel SEU tolerant SRAM data cell design.

Guohe Zhang, Yunlin Zeng, Feng Liang, Kebin Chen

IEICE Electron. Express, 2015

2013

Test Patterns of Multiple SIC Vectors: Theory and Application in BIST Schemes.

Feng Liang, Luwen Zhang, Shaochong Lei, Guohe Zhang, Kaile Gao, Bin Liang

IEEE Trans. Very Large Scale Integr. Syst., 2013

2012

Low-power programmable linear-phase filter designed for fully balanced bio-signal recording application.

Guohe Zhang, Hui-Bin Tao, Jun Shao, Shaochong Lei, Feng Liang

IEICE Electron. Express, 2012

A novel single event upset hardened CMOS SRAM cell.

Guohe Zhang, Jun Shao, Feng Liang, Dongxuan Bao

IEICE Electron. Express, 2012

2011

Design of Four-wave Oscillating Cellular-Neural-Network.

Guohe Zhang, Shaochong Lei, Feng Liang, Mamoru Tanaka, Ganesh Kumar Basnet

IEICE Electron. Express, 2011

2008

A Class of SIC Circuits: Theory and Application in BIST Design.

Shaochong Lei, Xueyan Hou, Zhibiao Shao, Feng Liang

IEEE Trans. Circuits Syst. II Express Briefs, 2008

A Single Input Change Test Pattern Generator for Sequential Circuits.

Feng Liang, Shaochong Lei, Zhibiao Shao

IEICE Trans. Electron., 2008

A low-kickback-noise and low-voltage latched comparator for high-speed folding and interpolating ADC.

Guohe Zhang, Bo Wang, Feng Liang, Zhibiao Shao

IEICE Electron. Express, 2008