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Feng Liang 0001
Person information
- affiliation: Xi'an Jiaotong University, Xi'an, Shaanxi, China
Other persons with the same name
- Feng Liang — disambiguation page
- Feng Liang 0002 — University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Feng Liang 0003 — Shenzhen University, China
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2020 – today
- 2024
- [j18]Shang Wang, Feng Liang, Qi Cao, Yongqiang Wang, Haoyuan Li, Junzhe Liang:
A Weight Mapping Strategy for More Fully Exploiting Data in CIM-Based CNN Accelerator. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 2324-2328 (2024) - [j17]Haisheng Fu, Feng Liang, Jie Liang, Yongqiang Wang, Zhenman Fang, Guohe Zhang, Jingning Han:
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation. IEEE Trans. Image Process. 33: 4702-4715 (2024) - [c10]Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han:
Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding. DCC 2024: 173-182 - [c9]Haisheng Fu, Jie Liang, Zhenman Fang, Jingning Han, Feng Liang, Guohe Zhang:
WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model. ECCV (50) 2024: 37-53 - [c8]Haisheng Fu, Feng Liang, Jie Liang, Zhenman Fang, Guohe Zhang, Jingning Han:
Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-Wise Causal Context Model. ICASSP 2024: 4040-4044 - 2023
- [j16]Haisheng Fu, Feng Liang:
Learned image compression with generalized octave convolution and cross-resolution parameter estimation. Signal Process. 202: 108778 (2023) - [j15]Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jingning Han:
Asymmetric Learned Image Compression With Multi-Scale Residual Block, Importance Scaling, and Post-Quantization Filtering. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4309-4321 (2023) - [j14]Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han:
Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules. IEEE Trans. Image Process. 32: 2063-2076 (2023) - 2022
- [j13]Chen Chen, Hongyi Wang, Xinyue Song, Feng Liang, Kaikai Wu, Tao Tao:
High-Dimensional Bayesian Optimization for Analog Integrated Circuit Sizing Based on Dropout and g/I Methodology. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4808-4820 (2022) - [c7]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML 2022: 15/1-18 - [c6]Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jiangning Han:
Learned Image Compression with Inception Residual Blocks and Multi-Scale Attention Module. PCS 2022: 43-47 - [i6]Haisheng Fu, Feng Liang, Jie Liang, Binglin Li, Guohe Zhang, Jingning Han:
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering. CoRR abs/2206.10618 (2022) - [i5]Haisheng Fu, Feng Liang:
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation. CoRR abs/2209.03353 (2022) - 2021
- [j12]Feng Liang, Zhichao Tian, Ming Dong, Shuting Cheng, Li Sun, Hai Li, Yiran Chen, Guohe Zhang:
Efficient neural network using pointwise convolution kernels with linear phase constraint. Neurocomputing 423: 572-579 (2021) - [j11]Haisheng Fu, Feng Liang, Bo Lei, Qian Zhang, Jie Liang, Chengjie Tu, Guohe Zhang:
An extended context-based entropy hybrid modeling for image compression. Signal Process. Image Commun. 95: 116244 (2021) - [c5]Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI 2021: 7090-7098 - [c4]Ran Wang, Hua Xu, Feng Liang, Guohe Zhang, Li Sun:
Human identification using micro-motion and LPCP-Cov neural networks. CONF-CDS 2021: 82:1-82:5 - [i4]Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han:
Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules. CoRR abs/2107.06463 (2021) - 2020
- [j10]Haisheng Fu, Feng Liang, Bo Lei:
An Extended Hybrid Image Compression Based on Soft-to-Hard Quantification. IEEE Access 8: 95832-95842 (2020) - [j9]Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian Zhang, Mohammad Akbari, Jie Liang, Chengjie Tu:
Improved hybrid layered image compression using deep learning and traditional codecs. Signal Process. Image Commun. 82: 115774 (2020) - [c3]Jianping Lin, Mohammad Akbari, Haisheng Fu, Qian Zhang, Shang Wang, Jie Liang, Dong Liu, Feng Liang, Guohe Zhang, Chengjie Tu:
Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution. MMSP 2020: 1-6 - [i3]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. CoRR abs/2011.14584 (2020)
2010 – 2019
- 2019
- [i2]Nai Bian, Feng Liang, Haisheng Fu, Bo Lei:
A Deep Image Compression Framework for Face Recognition. CoRR abs/1907.01714 (2019) - [i1]Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian Zhang, Mohammad Akbari, Jie Liang, Chengjie Tu:
Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs. CoRR abs/1907.06566 (2019) - 2018
- [c2]Feng Liang, Shaofei Yang, Tinrui Mai, Yichen Yang:
The Design of Objects Bounding Boxes Non-Maximum Suppression and Visualization Module Based on FPGA. DSP 2018: 1-5 - [c1]Feng Liang, Yichen Yang, Guohe Zhang, Xueliang Zhang, Bin Wu:
Design of 16-bit fixed-point CNN coprocessor based on FPGA. DSP 2018: 1-5 - 2015
- [j8]Guohe Zhang, Yunlin Zeng, Feng Liang, Kebin Chen:
A novel SEU tolerant SRAM data cell design. IEICE Electron. Express 12(17): 20150504 (2015) - 2013
- [j7]Feng Liang, Luwen Zhang, Shaochong Lei, Guohe Zhang, Kaile Gao, Bin Liang:
Test Patterns of Multiple SIC Vectors: Theory and Application in BIST Schemes. IEEE Trans. Very Large Scale Integr. Syst. 21(4): 614-623 (2013) - 2012
- [j6]Guohe Zhang, Jun Shao, Feng Liang, Dongxuan Bao:
A novel single event upset hardened CMOS SRAM cell. IEICE Electron. Express 9(3): 140-145 (2012) - [j5]Guohe Zhang, Hui-Bin Tao, Jun Shao, Shaochong Lei, Feng Liang:
Low-power programmable linear-phase filter designed for fully balanced bio-signal recording application. IEICE Electron. Express 9(17): 1402-1407 (2012) - 2011
- [j4]Guohe Zhang, Shaochong Lei, Feng Liang, Mamoru Tanaka, Ganesh Kumar Basnet:
Design of Four-wave Oscillating Cellular-Neural-Network. IEICE Electron. Express 8(12): 944-949 (2011)
2000 – 2009
- 2008
- [j3]Guohe Zhang, Bo Wang, Feng Liang, Zhibiao Shao:
A low-kickback-noise and low-voltage latched comparator for high-speed folding and interpolating ADC. IEICE Electron. Express 5(22): 943-948 (2008) - [j2]Feng Liang, Shaochong Lei, Zhibiao Shao:
A Single Input Change Test Pattern Generator for Sequential Circuits. IEICE Trans. Electron. 91-C(8): 1365-1370 (2008) - [j1]Shaochong Lei, Xueyan Hou, Zhibiao Shao, Feng Liang:
A Class of SIC Circuits: Theory and Application in BIST Design. IEEE Trans. Circuits Syst. II Express Briefs 55-II(2): 161-165 (2008)
Coauthor Index
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last updated on 2024-11-15 19:30 CET by the dblp team
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