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Event Co-reference Resolution via a Multi-loss Neural Network without Using Argument Information 期刊论文
Science China Information Sciences, 2019, 卷号: 62, 期号: 11, 页码: 212101:1–212101:9
作者:  Xinyu Zuo;  Yubo Chen;  Kang Liu;  Jun Zhao
Adobe PDF(360Kb)  |  收藏  |  浏览/下载：201/68  |  提交时间：2021/06/18
Event co-reference resolution  Neural network  Information extraction  Multi-loss function  Event extraction  
Local-Aggregation Graph Networks 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, 期号: 1, 页码: 1
作者:  Chang, Jianlong
浏览  |  Adobe PDF(2735Kb)  |  收藏  |  浏览/下载：239/81  |  提交时间：2020/06/11
Local-aggregation function, local-aggregation graph neural network, non-Euclidean structured signal.  
User Experience Evaluation in Virtual Reality based on Subjective Feelings and Physiological Signals 期刊论文
JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 2019, 卷号: 63, 期号: 6, 页码: 1-11
作者:  Niu, Yunfang;  Wang, Danli;  Wang, Ziwei;  Sun, Fan;  Yue, Kang;  Zheng, Nan
Adobe PDF(1371Kb)  |  收藏  |  浏览/下载：320/35  |  提交时间：2020/03/30
Analyzing the dynamic sectoral influence in Chinese and American stock markets 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 卷号: 536, 页码: 15
作者:  Tian, Hu;  Zheng, Xiaolong;  Zeng, Daniel Danjun
Adobe PDF(2694Kb)  |  收藏  |  浏览/下载：342/38  |  提交时间：2020/03/30
Sectoral influence  Multi-time scales  Causal network  Granger causality  Empirical mode decomposition  
PKGCN: prior knowledge enhanced graph convolutional network for graph-based semi-supervised learning 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3115-3127
作者:  Yu, Shaowei;  Yang, Xuebing;  Zhang, Wensheng
浏览  |  Adobe PDF(1959Kb)  |  收藏  |  浏览/下载：338/48  |  提交时间：2020/03/30
Graph convolutional network  Semi-supervised learning  Prior knowledge  Node classification  
Distributed consensus of networked markov jump multi-agent systems with mode-dependent event-triggered communications and switching topologies 期刊论文
PEER-TO-PEER NETWORKING AND APPLICATIONS, 2019, 卷号: 12, 页码: 1753-1760
作者:  Ma, Chao;  Kang, Erlong
Adobe PDF(1013Kb)  |  收藏  |  浏览/下载：439/76  |  提交时间：2020/03/30
Distributed consensus  Markov jump multi-agent systems  Mode-dependent event-triggered communication  Mode-dependent switching topologies  
Progress and Outlook of Visual Tracking: Bibliographic Analysis and Perspective 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 184581-184598
作者:  Liu, Yating;  Wang, Kunfeng;  Li, Xuesong;  Bai, Tianxiang;  Wang, Fei-Yue
Adobe PDF(4276Kb)  |  收藏  |  浏览/下载：241/38  |  提交时间：2020/03/30
Visual tracking  bibliographic analysis  collaboration patterns  research hotspots  parallel vision  
Energy-Efficient Boundary Detection of Continuous Objects in IoT Sensing Networks 期刊论文
IEEE SENSORS JOURNAL, IEEE SENSORS JOURNAL, IEEE SENSORS JOURNAL, 2019, 2019, 2019, 卷号: 19, 19, 19, 期号: 18, 页码: 8303-8316, 8303-8316, 8303-8316
作者:  Diao, Jin;  Zhao, Deng;  Wang, Junping;  Nguyen, Hien M.;  Tang, Jine;  Zhou, Zhangbing
Adobe PDF(2260Kb)  |  收藏  |  浏览/下载：375/50  |  提交时间：2019/12/16
Boundary detection  continuous objects  IoT sensing networks  energy efficiency  Boundary detection  continuous objects  IoT sensing networks  energy efficiency  Boundary detection  continuous objects  IoT sensing networks  energy efficiency  
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
作者:  Dai, Xingyuan;  Fu, Rui;  Zhao, Enmin;  Zhang, Zuo;  Lin, Yilun;  Wang, Fei-Yue;  Li, Li
Adobe PDF(5109Kb)  |  收藏  |  浏览/下载：378/40  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts 期刊论文
IEEE Access, 2019, 卷号: 7, 期号: Sep. 2019, 页码: 136951- 136961
作者:  Shuai Wang;  Chenchen Huang;  Juanjuan Li;  Yong Yuan;  Fei-Yue Wang
浏览  |  Adobe PDF(2505Kb)  |  收藏  |  浏览/下载：407/119  |  提交时间：2019/09/25
Decentralized Knowledge Graph  Deep Recommender System  Crowdsourcing  Blockchain  Smart Contracts