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Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:  Tian, Hu;  Zhang, Xingwei;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：37/0  |  提交时间：2023/11/17
Gated recurrent unit  graph representation learning  learning dynamic dependencies  stock prediction system  
Analyzing the Stock Volatility Spillovers in Chinese Financial and Economic Sectors 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 卷号: 10, 期号: 1, 页码: 269-284
作者:  Li, Jingyu;  Cheng, Lu;  Zheng, Xiaolong;  Wang, Fei-Yue
收藏  |  浏览/下载：32/0  |  提交时间：2023/11/17
COVID-19  financial and economic system  network analysis  stock volatility spillover  variational mode decomposition (VMD)  
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions 期刊论文
INFORMS JOURNAL ON COMPUTING, 2022, 页码: 19
作者:  Tian, Hu;  Zheng, Xiaolong;  Zhao, Kang;  Liu, Maggie Wenjing;  Zeng, Daniel Dajun
Adobe PDF(1329Kb)  |  收藏  |  浏览/下载：278/56  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence  
Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 14
作者:  Zheng, Xiaolong;  Tian, Hu;  Wan, Zhe;  Wang, Xiao;  Zeng, Daniel Dajun;  Wang, Fei-Yue
Adobe PDF(8005Kb)  |  收藏  |  浏览/下载：194/13  |  提交时间：2022/01/27
Social networking (online)  Dictionaries  Stock markets  Investment  Games  Analytical models  Market research  Dynamic interaction network  financial market  GameStop  short squeeze  social network analysis  
Risk perception and intelligent decision in complex social information network 期刊论文
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2020, 页码: 12
作者:  Wu, Desheng;  Song, Jingxiu;  Bian, Yuan;  Zheng, Xiaolong;  Zhang, Zhu
收藏  |  浏览/下载：286/0  |  提交时间：2021/03/08
Complex information network  Risk perception  Intelligent decision making  Integrated platform