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中国科学院自动化研究所机构知识库
Knowledge Commons of Institute of Automation,CAS
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复杂系统管理与控制... [14]
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Investigating the dynamic memory effect of human drivers via ON-LSTM
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 9, 页码: 11
Authors:
Dai, Shengzhe
;
Li, Zhiheng
;
Li, Li
;
Cao, Dongpu
;
Dai, Xingyuan
;
Lin, Yilun
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View/Download:20/0
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Submit date:2020/12/04
driving behavior
memory effect
trajectory prediction
historical information
ON-LSTM
绘画艺术图像的计算美学:研究前沿与展望
期刊论文
自动化学报, 2020, 卷号: 46, 期号: 11, 页码: 2239-2259
Authors:
鲁越
;
郭超
;
林懿伦
;
卓凡
;
王飞跃
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View/Download:4/0
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Submit date:2021/02/18
Fine art paintings
computational aesthetics
aesthetic model
attribute recognition
content understanding
aesthetic judgments
绘画艺术
计算美学
审美模型
属性识别
内容理解
美学评价
Radiomics signature based on FDG-PET predicts proliferative activity in primary glioma
期刊论文
CLINICAL RADIOLOGY, 2019, 卷号: 74, 期号: 10, 页码: 9
Authors:
Kong, Z.
;
Li, J.
;
Liu, Zehua
;
Liu, Zhenyu
;
Zhao, D.
;
Cheng, X.
;
Li, L.
;
Lin, Y.
;
Wang, Y.
;
Tian, J.
;
Ma, W.
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View/Download:58/0
  |  
Submit date:2019/12/16
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
Authors:
Lin, Yilun
;
Dai, Xingyuan
;
Li, Li
;
Wang, Fei-Yue
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Adobe PDF(623Kb)
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  |  
View/Download:175/110
  |  
Submit date:2019/05/07
Traflic flow prediction
deep learning
generative adversarial network
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending
期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
Authors:
Dai, Xingyuan
;
Fu, Rui
;
Zhao, Enmin
;
Zhang, Zuo
;
Lin, Yilun
;
Wang, Fei-Yue
;
Li, Li
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  |  
View/Download:42/0
  |  
Submit date:2019/09/30
Traffic prediction
Deep learning
Detrending
Multi-scale traffic prediction
平行学习理论及其在智能交通系统中的应用
学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:
林懿伦
Adobe PDF(17378Kb)
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View/Download:226/1
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Submit date:2019/07/15
平行学习
强化学习
深度学习
智能交通系统
Long memory is important: A test study on deep-learning based car-following model
期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 卷号: 514, 页码: 786-795
Authors:
Wang, Xiao
;
Jiang, Rui
;
Li, Li
;
Lin, Yi-Lun
;
Wang, Fei-Yue
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View/Download:86/0
  |  
Submit date:2019/01/08
Car-following
Long memory
Hysteresis
Deep learning
Parallel testing of vehicle intelligence via virtual-real interaction
期刊论文
Science Robotics, 2019, 卷号: 4, 期号: 28, 页码: eaaw4106
Authors:
Li Li
;
Xiao Wang
;
Kunfeng Wang
;
Yilun Lin
;
Jingmin Xin
;
Long Chen
;
Linhai Xu
;
Bin Tian
;
Yunfeng Ai
;
Jian Wang
;
Dongpu Cao
;
Yuehu Liu
;
Chenghong Wang
;
Nanning Zheng
;
Fei-Yue Wang
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  |  
Adobe PDF(332Kb)
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View/Download:343/218
  |  
Submit date:2019/05/07
Artificial Intelligence
Intelligent Vehicle
Capturing Car-Following Behaviors by Deep Learning
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 3, 页码: 910-920
Authors:
Wang, Xiao
;
Jiang, Rui
;
Li, Li
;
Lin, Yilun
;
Zheng, Xinhu
;
Wang, Fei-Yue
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  |  
Adobe PDF(3543Kb)
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View/Download:228/93
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Submit date:2018/10/10
Microscopic Car-following Model
Deep Learning
Recurrent Neural Network (Rnn)
Gated Recurrent Unit (Gru) Neural Networks
人工智能研究的新前线:生成式对抗网络
期刊论文
自动化学报, 2018, 卷号: 44, 期号: 5, 页码: 775-792
Authors:
林懿伦
;
戴星原
;
李力
;
王晓
;
王飞跃
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  |  
Adobe PDF(6766Kb)
  |  
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  |  
View/Download:471/172
  |  
Submit date:2018/10/10
深度学习
生成式对抗网络
生成模型
对抗学习
平行学习