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Personalized graph neural networks with attention mechanism for session-aware recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 34, 期号: 8, 页码: 3946-3957
作者:  Mengqi Zhang;  Shu Wu;  Meng Gao;  Xin Jiang;  Ke Xu;  Liang Wang
Adobe PDF(1277Kb)  |  收藏  |  浏览/下载:124/49  |  提交时间:2023/07/03
Multimodal Spatiotemporal Representation for Automatic Depression Level Detection 期刊论文
IEEE Transactions on Affective Computing, 2020, 期号: 0, 页码: 0
作者:  Mingyue Niu;  Jianhua Tao;  Bin Liu;  Jian Huang;  Zheng Lian
Adobe PDF(2831Kb)  |  收藏  |  浏览/下载:187/50  |  提交时间:2021/06/01
Multimodal depression detection  Spatio-Temporal Attention  Audio/Video Segment-Level Feature  Eigen Evolution Pooling  Audio/Video Level Feature  Multimodal Attention Feature Fusion  
Toward Improving Engagement in Neural Rehabilitation: Attention Enhancement Based on Brain-Computer Interface and Audiovisual Feedback 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2020, 卷号: 12, 期号: 4, 页码: 787-796
作者:  Wang, Jiaxing;  Wang, Weiqun;  Hou, Zeng-Guang
Adobe PDF(2031Kb)  |  收藏  |  浏览/下载:298/64  |  提交时间:2021/03/02
Avatars  Electroencephalography  Training  Games  Real-time systems  Task analysis  Stroke (medical condition)  Attention enhancement  brain–  computer interface (BCI)  electroencephalogram (EEG)  neural rehabilitation  virtual reality  
A Brain-Inspired Model of Theory of Mind 期刊论文
FRONTIERS IN NEUROROBOTICS, 2020, 卷号: 14, 页码: 17
作者:  Zeng, Yi;  Zhao, Yuxuan;  Zhang, Tielin;  Zhao, Dongcheng;  Zhao, Feifei;  Lu, Enmeng
Adobe PDF(2347Kb)  |  收藏  |  浏览/下载:294/54  |  提交时间:2021/01/07
theory of mind  false-belief task  brain inspired model  self-experience  connection maturation  inhibitory control  
Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm 期刊论文
FRONTIERS IN NEUROINFORMATICS, 2020, 卷号: 14, 页码: 17
作者:  Huangfu, Cunqing;  Zeng, Yi;  Wang, Yuwei
Adobe PDF(4628Kb)  |  收藏  |  浏览/下载:214/47  |  提交时间:2021/01/07
literature analysis  clustering  word embedding  neuroscience  knowledge oganization system  
Knowledge-aware Attentive Wasserstein Adversarial Dialogue Response Generation 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2020, 卷号: 11, 期号: 4, 页码: 20
作者:  Zhang, Yingying;  Fang, Quan;  Qian, Shengsheng;  Xu, Changsheng
Adobe PDF(1626Kb)  |  收藏  |  浏览/下载:314/56  |  提交时间:2021/01/06
Dialogue system  co-attention  adversarial learning  external knowledge  
Common and unique multimodal covarying patterns in autism spectrum disorder subtypes 期刊论文
MOLECULAR AUTISM, 2020, 卷号: 11, 期号: 1, 页码: 15
作者:  Qi, Shile;  Morris, Robin;  Turner, Jessica A.;  Fu, Zening;  Jiang, Rongtao;  Deramus, Thomas P.;  Zhi, Dongmei;  Calhoun, Vince D.;  Sui, Jing
Adobe PDF(6135Kb)  |  收藏  |  浏览/下载:288/13  |  提交时间:2021/01/06
Heterogeneity  Autism spectrum disorder  Asperger’  s disorder  Pervasive developmental disorder-not otherwise specified (PDD-NOS)  Autistic disorder  Multimodal fusion  
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
作者:  Dai, Shengzhe;  Li, Zhiheng;  Li, Li;  Cao, Dongpu;  Dai, Xingyuan;  Lin, Yilun
Adobe PDF(325Kb)  |  收藏  |  浏览/下载:264/47  |  提交时间:2020/12/04
driving behavior  memory effect  trajectory prediction  historical information  ON-LSTM  
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:445/227  |  提交时间:2020/10/15
Intelligent transportation systems  
Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 9, 页码: 2207-2220
作者:  Guyue, Hu;  Bo, Cui;  Shan, Yu
Adobe PDF(4803Kb)  |  收藏  |  浏览/下载:293/57  |  提交时间:2020/09/28
Skeleton-based Action Recognition  Frequency Attention  Synchronous Local and Non-local Learning  Soft-margin Focal Loss  Pesudo Multi-task Learning