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CASIA OpenIR
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Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659
作者:  Peng, Xinyu;  Li, Li;  Wang, Fei-Yue
收藏  |  浏览/下载：260/0  |  提交时间：2021/01/06
Training  Convergence  Approximation algorithms  Stochastic processes  Estimation  Optimization  Acceleration  Batch selection  machine learning  minibatch stochastic gradient descent (SGD)  speed of convergence  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：304/63  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：484/236  |  提交时间：2020/10/15
Intelligent transportation systems  
Analysis and Control of Blood Glucose Situation for Diabetic Patients Based on Interval Type-2 Fuzzy Sets 期刊论文
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2020, 页码: 15
作者:  Liu, Chen;  Mo, Hong;  Wang, Fei-Yue
收藏  |  浏览/下载：119/0  |  提交时间：2020/09/21
IT2 FSs  LDS  Fuzzy comprehension evaluation  Blood glucose situation  
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 5, 页码: 1289-1307
作者:  Wang, Wenshuo;  Na, Xiaoxiang;  Cao, Dongpu;  Gong, Jianwei;  Xi, Junqiang;  Xing, Yang;  Wang, Fei-Yue
浏览  |  Adobe PDF(14998Kb)  |  收藏  |  浏览/下载：262/31  |  提交时间：2020/09/07
Automated vehicle  decision-making  human driver  human-vehicle interaction  shared control  
Parallel control for continuous-time linear systems: A case study 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 4, 页码: 919-928
作者:  Wei, Qinglai;  Li, Hongyang;  Wang, Fei-Yue
Adobe PDF(4146Kb)  |  收藏  |  浏览/下载：290/38  |  提交时间：2020/08/03
Continuous-time linear systems  digital twin  parallel controller  parallel intelligence  parallel systems  
What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F-1 hybrid? 期刊论文
JOURNAL OF INTEGRATIVE AGRICULTURE, 2020, 卷号: 19, 期号: 7, 页码: 1789-1801
作者:  Wang Xiu-juan;  Kang Meng-zhen;  Fan Xing-rong;  Yang Li-le;  Zhang Bao-gui;  Huang San-wen;  De Reffye, Philippe;  Wang Fei-yue
浏览  |  Adobe PDF(4508Kb)  |  收藏  |  浏览/下载：369/75  |  提交时间：2020/07/20
cucumber  biomass production  functional-structural plant model  source-sink ratio  fruit-setting  PSO  heterosis  
A parallel vision approach to scene-specific pedestrian detection 期刊论文
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 114-126
作者:  Zhang, Wenwen;  Wang, Kunfeng;  Liu, Yating;  Lu, Yue;  Wang, Fei-Yue
Adobe PDF(4090Kb)  |  收藏  |  浏览/下载：377/55  |  提交时间：2020/06/22
Pedestrian detection  Specific scene  Synthetic data  Video surveillance  Parallel vision  
Parallel reinforcement learning-based energy efficiency improvement for a cyber-physical system 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 2, 页码: 617-626
作者:  Liu, Teng;  Tian, Bin;  Ai, Yunfeng;  Wang, Fei-Yue
Adobe PDF(5784Kb)  |  收藏  |  浏览/下载：261/6  |  提交时间：2020/06/02
Bidirectional long short-term memory (LSTM) network  cyber-physical system (CPS)  energy management  parallel system  reinforcement learning (RL)  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：396/67  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning