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Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 3, 页码: 14
Authors:  Xiong, Gang;  Li, Zhishuai;  Wu, Huaiyu;  Chen, Shichao;  Dong, Xisong;  Zhu, Fenghua;  Lv, Yisheng
Favorite  |  View/Download：1/0  |  Submit date：2021/03/08
urban public transportation  cyber-physical-social system  advanced public transportation systems  big data  
CNN-G: convolutional neural network combined with graph for image segmentation with theoretical analysis 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 0, 期号: 0, 页码: 0
Authors:  Lu, Yi;  Chen, Yaran;  Zhao, Dongbin;  Liu, Bao;  Lai, Zhichao;  Chen, Jianxin
View  |  Adobe PDF(5636Kb)  |  Favorite  |  View/Download：31/1  |  Submit date：2020/10/19
Graph neural network, image segmentation, self-attention, structure pattern learning.  
MGRL: Graph neural network based inference in a Markov network with Reinforcement Learning for visual navigation 期刊论文
Neurocomputing, 2021, 卷号: 0, 期号: 0, 页码: 0
Authors:  Lu, Yi;  Chen, Yaran;  Zhao, Dongbin;  Li, Dong
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Visual navigation, graph neural network, Markov network, reinforcement learning, probabilistic graph model  
Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer 期刊论文
CANCER IMAGING, 2020, 卷号: 20, 期号: 1, 页码: 10
Authors:  Wang, Xiao-Xiao;  Ding, Yi;  Wang, Si-Wen;  Dong, Di;  Li, Hai-Lin;  Chen, Jian;  Hu, Hui;  Lu, Chao;  Tian, Jie;  Shan, Xiu-Hong
Favorite  |  View/Download：6/0  |  Submit date：2021/01/06
Lauren classification  Radiomics  Peritumoral analysis  Gastric cancer  Computed tomography  
基于图神经网络的视觉图表达方法 学位论文
, 中国科学院自动化所: 中国科学院大学, 2020
Authors:  卢毅
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图神经网络，图表达，图像分类，语义分割，视觉导航，概率图，深度 强化学习  
Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 29, 页码: 9532-9545
Authors:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
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Skeleton-based action recognition, graph convolutional network, adaptive graph, multi-stream network.  
Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method 期刊论文
ENERGY, 2020, 卷号: 212, 页码: 13
Authors:  Li, Chengdong;  Zhou, Changgeng;  Peng, Wei;  Lv, Yisheng;  Luo, Xin
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PV power generation prediction  Deep fuzzy model  Double input rule module  Data driven method  Least square method  
Gesture recognition based on deep deformable 3D convolutional neural networks 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 12
Authors:  Zhang, Yifan;  Shi, Lei;  Wu, Yi;  Cheng, Ke;  Cheng, Jian;  Lu, Hanqing
View  |  Adobe PDF(1310Kb)  |  Favorite  |  View/Download：69/32  |  Submit date：2020/08/31
Gesture recognition  Spatiotemporal deformable convolution  Spatiotemporal convolutional neural network  
A Brain-Inspired Model of Theory of Mind 期刊论文
FRONTIERS IN NEUROROBOTICS, 2020, 卷号: 14, 页码: 17
Authors:  Zeng, Yi;  Zhao, Yuxuan;  Zhang, Tielin;  Zhao, Dongcheng;  Zhao, Feifei;  Lu, Enmeng
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theory of mind  false-belief task  brain inspired model  self-experience  connection maturation  inhibitory control  
Taxi Demand Prediction Using Parallel Multi-Task Learning Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
Authors:  Chizhan Zhang;  Fenghua Zhu;  Xiao Wang;  Leilei Sun;  Haina Tang;  Yisheng Lv
View  |  Adobe PDF(3947Kb)  |  Favorite  |  View/Download：33/8  |  Submit date：2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning