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共14条,第1-10条
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语种:英语
资助机构:National Natural Science Foundation of China
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Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831
作者:
Lu, Jingwei
;
Han, Liyuan
;
Wei, Qinglai
;
Wang, Xiao
;
Dai, Xingyuan
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:91/0
  |  
提交时间:2023/11/17
Autonomous vehicles
Decision making
Path planning
Training
Optimal control
Deep learning
Complex systems
Autonomous driving
deep reinforcement learning
deep Q-network
event-triggered control
parallel control
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Luo, Guiyang
;
Zhang, Hui
;
Yuan, Quan
;
Li, Jinglin
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:190/0
  |  
提交时间:2022/07/25
Roads
Correlation
Feature extraction
Sensors
Deep learning
Convolution
Sensor phenomena and characterization
Traffic forecasting
graph convolutional network
spatial-temporal networks
VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14
作者:
Wei, Qinglai
;
Li, Yugu
;
Zhang, Jie
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:222/0
  |  
提交时间:2022/07/25
Mathematical models
Task analysis
Games
Q-learning
Neural networks
Behavioral sciences
Training
Deep learning
graph attention networks (GATs)
multiagent systems
reinforcement learning
Computational knowledge vision: paradigmatic knowledge based prescriptive learning and reasoning for perception and vision
期刊论文
ARTIFICIAL INTELLIGENCE REVIEW, 2022, 页码: 36
作者:
Zheng, Wenbo
;
Yan, Lan
;
Gou, Chao
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:186/0
  |  
提交时间:2022/06/06
Computer vision
Knowledge engineering
Deep learning
Graph learning
Meta-learning
Transformer
Artificial intelligence (AI)
Fast and Progressive Misbehavior Detection in Internet of Vehicles Based on Broad Learning and Incremental Learning Systems
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 6, 页码: 4788-4798
作者:
Wang, Xiao
;
Zhu, Yushan
;
Han, Shuangshuang
;
Yang, Linyao
;
Gu, Haixia
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:238/0
  |  
提交时间:2022/06/06
Convolutional neural networks
Feature extraction
Machine learning algorithms
Deep learning
Global Positioning System
Scalability
Safety
Broad learning system (BLS)
incremental learning system
Internet of Vehicles (IoV)
misbehavior detection
ridge regression approximation
A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Jin, Junchen
;
Rong, Dingding
;
Zhang, Tong
;
Ji, Qingyuan
;
Guo, Haifeng
;
Lv, Yisheng
;
Ma, Xiaoliang
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:250/0
  |  
提交时间:2022/06/06
Roads
Predictive models
Data models
Recurrent neural networks
Generators
Computer architecture
Deep learning
Short-term link speed prediction
signalized urban networks
Wasserstein generative adversarial network
Drill the Cork of Information Bottleneck by Inputting the Most Important Data
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Peng, Xinyu
;
Zhang, Jiawei
;
Wang, Fei-Yue
;
Li, Li
收藏
  |  
浏览/下载:197/0
  |  
提交时间:2022/01/27
Training
Signal to noise ratio
Mutual information
Optimization
Convergence
Deep learning
Tools
Information bottleneck (IB) theory
machine learning
minibatch stochastic gradient descent (SGD)
typicality sampling
An End-to-End Recommendation System for Urban Traffic Controls and Management Under a Parallel Learning Framework
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 3, 页码: 1616-1626
作者:
Jin, Junchen
;
Guo, Haifeng
;
Xu, Jia
;
Wang, Xiao
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:209/0
  |  
提交时间:2021/04/27
Control systems
Urban areas
Timing
Adaptive systems
Real-time systems
Recurrent neural networks
Process control
Intelligent traffic control
traffic signal control
parallel learning
recommendation systems
deep neural networks
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:
Shen, Tianyu
;
Wang, Jiangong
;
Gou, Chao
;
Wang, Fei-Yue
Adobe PDF(3530Kb)
  |  
收藏
  |  
浏览/下载:299/66
  |  
提交时间:2021/03/02
Image segmentation
Biomedical imaging
Fuzzy sets
Breast cancer
Breast cancer
deep learning (DL)
fuzzy classifier (FC)
interval type-2 possibilistic fuzzy c-means (IT2PFCM)
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:369/66
  |  
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