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CASIA OpenIR
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Optimization-Based Post-Training Quantization With Bit-Split and Stitching 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2119-2135
作者:  Wang, Peisong;  Chen, Weihan;  He, Xiangyu;  Chen, Qiang;  Liu, Qingshan;  Cheng, Jian
Adobe PDF(921Kb)  |  收藏  |  浏览/下载：158/43  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
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：245/22  |  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  
Stacking More Linear Operations with Orthogonal Regularization to Learn Better 会议论文
, 线上会议, 2022-7
作者:  Xu WX(许伟翔);  Cheng J(程健)
Adobe PDF(1126Kb)  |  收藏  |  浏览/下载：81/31  |  提交时间：2023/06/21
Multi-Granularity Pruning for Model Acceleration on Mobile Devices 会议论文
, 线上, 2022-07
作者:  Zhao TL(赵天理);  Zhang X(张希);  Zhu WT(朱文涛);  Wang JX(王家兴);  Yang S(杨森);  Liu J(刘季);  Cheng J(程健)
Adobe PDF(1919Kb)  |  收藏  |  浏览/下载：85/36  |  提交时间：2023/06/21
Deep Neural Networks  Network Pruning  Structured Pruning  Non-structured Pruning  Single Instruction Multiple Data  
Improving Extreme Low-bit Quantization with Soft Threshold 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2022, 页码: 1549 - 1563
作者:  Xu WX(许伟翔);  Wang PS(王培松);  Cheng J(程健)
Adobe PDF(2414Kb)  |  收藏  |  浏览/下载：72/26  |  提交时间：2023/06/20
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:  Jiang, Bo;  Wang, Leiling;  Cheng, Jian;  Tang, Jin;  Luo, Bin
收藏  |  浏览/下载：177/0  |  提交时间：2022/01/27
Task analysis  Computer architecture  Semisupervised learning  Deep learning  Laplace equations  Data models  Labeling  Graph embedding  graph neural networks (GNNs)  graph propagation  semi-supervised learning  
Towards Binarized MobileNet via Structured Sparsity 会议论文
, Hainan, China, 2021-12-26
作者:  Zhenmeng, Zuo;  Zhexin, Li;  Peisong, Wang;  Weihan, Chen;  Jian, Cheng
Adobe PDF(476Kb)  |  收藏  |  浏览/下载：189/54  |  提交时间：2022/06/15
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：173/34  |  提交时间：2022/02/15
block convolution  memory-efficient  off-chip transfer  fpga  cnn accelerator  
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Wang, Guanan;  Hu, Qinghao;  Yang, Yang;  Cheng, Jian;  Hou, Zeng-Guang
收藏  |  浏览/下载：189/0  |  提交时间：2022/01/27
Data models  Semantics  Force  Computational modeling  Hash functions  Binary codes  Training data  Adversarial learning (AL)  deep learning  hashing  
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：247/13  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network