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Knowledge-driven Egocentric Multimodal Activity Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 21
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyu;  Sang, Jitao;  Xu, Changsheng
Adobe PDF(1875Kb)  |  收藏  |  浏览/下载：429/69  |  提交时间：2021/03/08
Egocentric videos  wearable sensors  graph neural networks  
Part-based Structured Representation Learning for Person Re-identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 22
作者:  Li, Yaoyu;  Yao, Hantao;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(19052Kb)  |  收藏  |  浏览/下载：325/48  |  提交时间：2021/03/08
Person re-identification  representation learning  graph convolutional network  
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：346/75  |  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  
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：358/67  |  提交时间：2021/01/06
Dialogue system  co-attention  adversarial learning  external knowledge  
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  
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：337/68  |  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  
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  
Parallel Internet of Vehicles: ACP-Based System Architecture and Behavioral Modeling 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2020, 卷号: 7, 期号: 5, 页码: 3735-3746
作者:  Wang, Xiao;  Han, Shuangshuang;  Yang, Linyao;  Yao, Tingting;  Li, Lingxi
Adobe PDF(3157Kb)  |  收藏  |  浏览/下载：304/35  |  提交时间：2020/06/22
Cyber-physical-social system (CPSS)  parallel intelligence  parallel Internet of Vehicles (PIoV)  
Underwater Bioinspired Propulsion: From Inspection to Manipulation 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 9, 页码: 7629-7638
作者:  Wang, Yu;  Wang, Rui;  Wang, Shuo;  Tan, Min;  Yu, Junzhi
浏览  |  Adobe PDF(3768Kb)  |  收藏  |  浏览/下载：395/87  |  提交时间：2020/06/22
Propulsion  Manipulators  Sports  Path planning  Underwater vehicles  Inspection  Bioinspired propulsion  coordinated control  underwater vehicle-manipulator system  underwater manipulation  
Synthesis of Cooperative Adaptive Cruise Control With Feedforward Strategies 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 卷号: 69, 期号: 4, 页码: 3615-3627
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  He, Haibo
Adobe PDF(2462Kb)  |  收藏  |  浏览/下载：206/15  |  提交时间：2020/06/22
Cooperative cruise control  H-infinity-norm  L-2-gain  time-delay system  state-space model