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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：151/40  |  提交时间：2023/03/20
Deep neural networks  compression  quantization  post-training quantization  
Driving EEG based multilayer dynamic brain network analysis for steering process 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 207, 页码: 17
作者:  Chang, Wenwen;  Meng, Weiliang;  Yan, Guanghui;  Zhang, Bingtao;  Luo, Hao;  Gao, Rui;  Yang, Zhifei
Adobe PDF(13070Kb)  |  收藏  |  浏览/下载：309/79  |  提交时间：2022/09/19
Multi -layer Networks  Functional Connectivity  Electroencephalogram (EEG)  Driving Intention  Feature Extraction  Driving Behavior  
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：228/21  |  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  
An Efficient Sampling-Based Attention Network for Semantic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2850-2863
作者:  He, Xingjian;  Liu, Jing;  Wang, Weining;  Lu, Hanqing
Adobe PDF(3252Kb)  |  收藏  |  浏览/下载：319/73  |  提交时间：2022/06/10
Stochastic processes  Sampling methods  Semantics  Image segmentation  Computational complexity  Pattern recognition  Convolution  Semantic segmentation  stochastic sampling-based attention  deterministic sampling-based attention  
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：165/0  |  提交时间：2022/01/27
Hardware acceleration  image classification  neural networks  pruning  software-hardware codesign  
Commissioning and clinical implementation of an Autoencoder based Classification-Regression model for VMAT patient-specific QA in a multi-institution scenario 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2021, 卷号: 161, 期号: 10.1016/j.radonc.2021.06.024, 页码: 230-240
作者:  Yang, Ruijie;  Yang, Xueying;  Wang, Le;  Li, Dingjie;  Guo, Yuexin;  Li, Ying;  Guan, Yumin;  Wu, Xiangyang;  Xu, Shouping;  Zhang, Shuming;  Chan, Maria F.;  Geng, Lisheng;  Sui, Jing
Adobe PDF(2840Kb)  |  收藏  |  浏览/下载：327/55  |  提交时间：2021/11/02
Machine learning  VMAT patient-specific QA  Multi-institution validation  Commissioning  Clinical implementation  
Multi-task autoencoder based classification-regression model for patient-specific VMAT QA 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2020, 卷号: 65, 期号: 23, 页码: 12
作者:  Wang, Le;  Li, Jiaqi;  Zhang, Shuming;  Zhang, Xile;  Zhang, Qilin;  Chan, Maria F.;  Yang, Ruijie;  Sui, Jing
Adobe PDF(926Kb)  |  收藏  |  浏览/下载：382/82  |  提交时间：2021/01/06
VMAT QA  patient-specific QA  deep learning  radiotherapy  
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：293/56  |  提交时间：2021/01/06
Accelerator  architecture  convolutional neural networks (CNNs)  sparsity  
Parallel distance: A new paradigm of measurement for parallel driving 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 4, 页码: 1169-1178
作者:  Liu, Teng;  Wang, Hong;  Tian, Bin;  Ai, Yunfeng;  Chen, Long
收藏  |  浏览/下载：202/0  |  提交时间：2020/08/03
Artificial and physical system  parallel distance  parallel driving 3.0  parallel system  rotational and accelerator signal  
A novel hardware-oriented ultra-high-speed object detection algorithm based on convolutional neural network 期刊论文
JOURNAL OF REAL-TIME IMAGE PROCESSING, 2019, 期号: 17, 页码: 1703-1714
作者:  Li, Jianquan;  Long, Xianlei;  Hu, Shenhua;  Hu, Yiming;  Gu, Qingyi;  Xu, De
Adobe PDF(1879Kb)  |  收藏  |  浏览/下载：263/42  |  提交时间：2020/08/03
FPGA implementation  High-speed vision  Fast-object detection  Convolutional neural network