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CASIA OpenIR
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Efficient Accelerator/Network Co-Search with Circular Greedy Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II: EXPRESS BRIEFS, 2023, 页码: 1-5
作者:  Liu, Zejian;  Li, Gang;  Cheng, Jian
Adobe PDF(1982Kb)  |  收藏  |  浏览/下载：141/45  |  提交时间：2023/06/19
Accelerator/Network Co-Search  Reinforcement Learning  Performance Estimation  Multi-objective Optimization  
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1436-1447
作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian
Adobe PDF(4046Kb)  |  收藏  |  浏览/下载：309/35  |  提交时间：2022/06/10
Convolution  Field programmable gate arrays  System-on-chip  Task analysis  Random access memory  Tensors  Memory management  Block convolution  convolutional neural network (CNN) accelerator  field-programmable gate array (FPGA)  memory efficient  off-chip transfer  
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA 期刊论文
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021, 期号: 2021.5, 页码: 1-1
作者:  Li, Gang;  Liu, Zejian;  Li, Fanrong;  Cheng, Jian
Adobe PDF(6174Kb)  |  收藏  |  浏览/下载：211/44  |  提交时间：2022/02/15
block convolution  memory-efficient  off-chip transfer  fpga  cnn accelerator  
Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:  Wang, Peisong;  Li, Fanrong;  Li, Gang;  Cheng, Jian
收藏  |  浏览/下载：227/0  |  提交时间：2022/01/27
Hardware acceleration  image classification  neural networks  pruning  software-hardware codesign  
ECBC: Efficient Convolution via Blocked Columnizing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing;  Leng, Cong;  Cheng, Jian
Adobe PDF(3003Kb)  |  收藏  |  浏览/下载：336/42  |  提交时间：2022/01/27
Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)  
Fully automated grading system for the evaluation of punctate epithelial erosions using deep neural networks 期刊论文
BRITISH JOURNAL OF OPHTHALMOLOGY, 2021, 页码: 8
作者:  Qu, Jing-Hao;  Qin, Xiao-Ran;  Li, Chen-Di;  Peng, Rong-Mei;  Xiao, Ge-Ge;  Cheng, Jian;  Gu, Shao-Feng;  Wang, Hai-Kun;  Hong, Jing
收藏  |  浏览/下载：218/0  |  提交时间：2021/12/28
cornea  imaging  
Few-Shot Visual Classification Using Image Pairs With Binary Transformation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 9, 页码: 2867-2871
作者:  Zhang, Chunjie;  Li, Chenghua;  Cheng, Jian
收藏  |  浏览/下载：241/0  |  提交时间：2021/01/07
Training  Visualization  Testing  Correlation  Image representation  Automation  Convolutional neural networks  Few-shot classification  visual classification  image pair  binary transformation  object categorization  
FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 11, 页码: 3589-3600
作者:  Li, Fanrong;  Li, Gang;  Mo, Zitao;  He, Xiangyu;  Cheng, Jian
Adobe PDF(1906Kb)  |  收藏  |  浏览/下载：370/69  |  提交时间：2021/01/06
Accelerator  architecture  convolutional neural networks (CNNs)  sparsity  
A Hardware Descriptive Approach to Beetle Antennae Search 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 89059-89070
作者:  Yue, Zongcheng;  Li, Gang;  Jiang, Xiangyuan;  Li, Shuai;  Cheng, Jian;  Ren, Peng
收藏  |  浏览/下载：180/0  |  提交时间：2020/07/20
Field programmable gate arrays  Hardware design languages  Optimization  Directive antennas  Genetic algorithms  Hardware  FPGA  beetle antennae search  Verilog HDL  optimization algorithm  
Diffusion induced graph representation learning 期刊论文
NEUROCOMPUTING, 2019, 卷号: 360, 页码: 220-229
作者:  Li, Fuzhen;  Zhu, Zhenfeng;  Zhang, Xingxing;  Cheng, Jian;  Zhao, Yao
收藏  |  浏览/下载：219/0  |  提交时间：2019/12/16
Graph representation learning  Graph embedding  Diffusion model  Auto-encoder  Deep learning