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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
Favorite  |  View/Download：30/0  |  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
Favorite  |  View/Download：18/0  |  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  
GPO:Global Plane Optimization for Fast and Accurate Monocular SLAM Initialization 会议论文
, 法国巴黎线上会议, 2020.5.31-2020.8.31
Authors:  Du SC(杜思聪);  Guo HK(郭亨凯);  Chen Y(陈尧);  Lin YL(林懿伦);  Meng XB(孟祥冰);  Wen LF(文林福);  Wang FY(王飞跃)
Adobe PDF(4634Kb)  |  Favorite  |  View/Download：9/0  |  Submit date：2021/06/15
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.
Favorite  |  View/Download：89/0  |  Submit date：2019/12/16
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
Favorite  |  View/Download：68/0  |  Submit date：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
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
View  |  Adobe PDF(623Kb)  |  Favorite  |  View/Download：200/111  |  Submit date：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network  
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)  |  Favorite  |  View/Download：254/1  |  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
Favorite  |  View/Download：111/0  |  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
View  |  Adobe PDF(332Kb)  |  Favorite  |  View/Download：410/239  |  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
View  |  Adobe PDF(3543Kb)  |  Favorite  |  View/Download：252/99  |  Submit date：2018/10/10
Microscopic Car-following Model  Deep Learning  Recurrent Neural Network (Rnn)  Gated Recurrent Unit (Gru) Neural Networks