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科研机构
自动化研究所 [8]
计算技术研究所 [1]
数学与系统科学研究院 [1]
上海药物研究所 [1]
内容类型
期刊论文 [9]
会议论文 [2]
发表日期
2020 [11]
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FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4791-4804
作者:
Lan, Yazhu
;
Nixon, Kent W.
;
Guo, Qingli
;
Zhang, Guohe
;
Xu, Yuanchao
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/12/01
Perturbation methods
Computational modeling
Data integrity
Detectors
Optimization
Field programmable gate arrays
Hardware
Adversarial attacks
confidence detection
deep neural networks (DNNs)
FPGA-based hardware architecture
sensor pattern noise (SPN)
CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words
期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133
作者:
Yuan, Yong
;
Chen, Chen
;
Hu, Xiyuan
;
Peng, Silong
收藏
  |  
浏览/下载:123/0
  |  
提交时间:2021/03/08
entropy
image classification
learning (artificial intelligence)
neural nets
object detection
optimisation
quantisation (signal)
network structure
DNN
low-bit quantization
time-consuming training
compressor-based fast nonuniform quantization method
quantization model
post-training quantization methods
deep neural networks
network quantization
compressor-based nonuniform quantization
CNQ
Non-uniform quantization
Knowledge distillation
Unlabeled samples
Network compression
Six-DOF Spacecraft Optimal Trajectory Planning and Real-Time Attitude Control: A Deep Neural Network-Based Approach
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 5005-5013
作者:
Chai, Runqi
;
Tsourdos, Antonios
;
Savvaris, Al
;
Chai, Senchun
;
Xia, Yuanqing
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/01/06
Attitude control
Real-time systems
Trajectory optimization
Trajectory planning
Attitude control
bilevel structure
deep neural network (DNN)
six-degree-of-freedom (6-DOF) hypersonic vehicle (HV)
trajectory planning
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems
期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
作者:
Yan, Liang
;
Zhou, Tao
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2021/01/14
Bayesian inverse problems
deep neural networks
multi-fidelity surrogate modeling
Markov chain Monte Carlo
MSpectraAI: a powerful platform for deciphering proteome profiling of multi-tumor mass spectrometry data by using deep neural networks
期刊论文
BMC BIOINFORMATICS, 2020, 卷号: 21, 期号: 1, 页码: 15
作者:
Wang, Shisheng
;
Zhu, Hongwen
;
Zhou, Hu
;
Cheng, Jingqiu
;
Yang, Hao
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2020/12/24
Raw mass spectrometry data
Proteome profiling
Feature swath extraction
Deep neural networks
Multi-tumor types
Leave-one-out cross prediction strategy
Pushing and Bounding Loss for Training Deep Super-Resolution Network
会议论文
Beijing, China, October 30-31, 2020
作者:
Shang Li
;
Guixuan Zhang
;
Jie Liu
;
Shuwu Zhang
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/04/08
EvoQ: Mixed Precision Quantization of DNNs via Sensitivity Guided Evolutionary Search
会议论文
Glasgow, United Kingdom, 19-24 July 2020
作者:
Yong Yuan
;
Chen Chen
;
Xiyuan Hu
;
Silong Peng
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2020/10/27
evolutionary algorithm, mixed precision quantization, network compression, deep learning
Unsupervised Network Quantization via Fixed-Point Factorization
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2020, 期号: 1, 页码: 1
作者:
Wang, Peisong
;
He, Xiangyu
;
Chen, Qiang
;
Cheng, Anda
;
Liu, Qingshan
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2020/10/20
Acceleration , compression , deep neural networks (DNNs) , fixed-point quantization , unsupervised quantization.
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:
Ruan, Xiaofeng
;
Liu, Yufan
;
Yuan, Chunfeng
;
Li, Bing
;
Hu, Weiming
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2021/06/17
Data-driven
low-rank decomposition
model compression and acceleration
structured pruning
Deep Neural Network Based Machine Translation System Combination
期刊论文
ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), 2020, 期号: Accept, 页码: Accept
作者:
Zhou, Long
;
Zhang, Jiajun
;
Kang, Xiaomian
;
Zong, Chengqing
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/06/23
DNN, SMT, NMT, system combination, minimal bayes-risk decoding, low-resource translation
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