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CASIA OpenIR
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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：202/13  |  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  
epsilon-k anonymization and adversarial training of graph neural networks for privacy preservation in social networks 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2021, 卷号: 50, 页码: 17
作者:  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Daniel Dajun
Adobe PDF(2484Kb)  |  收藏  |  浏览/下载：253/78  |  提交时间：2021/12/28
Privacy preservation  Anonymization  Graph neural networks  Social network  
Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach 期刊论文
INFORMATION & MANAGEMENT, 2021, 卷号: 58, 期号: 7, 页码: 12
作者:  Zhang, Zhu;  Wei, Xuan;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：206/0  |  提交时间：2021/11/04
Text mining  Deep learning  Product adoption intention  Multi-view learning  
Detecting Product Adoption Intentions via Multiview Deep Learning 期刊论文
INFORMS JOURNAL ON COMPUTING, 2021, 页码: 17
作者:  Zhang, Zhu;  Wei, Xuan;  Zheng, Xiaolong;  Li, Qiudan;  Zeng, Daniel Dajun
收藏  |  浏览/下载：214/0  |  提交时间：2021/12/28
web mining  business intelligence  intention detection  deep learning  social media analytics  
Fusion of heterogeneous attention mechanisms in multi-view convolutional neural network for text classification 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 548, 页码: 295-312
作者:  Liang, Yunji;  Li, Huihui;  Guo, Bin;  Yu, Zhiwen;  Zheng, Xiaolong;  Samtani, Sagar;  Zeng, Daniel D.
收藏  |  浏览/下载：214/0  |  提交时间：2021/03/08
View attention  Spatial attention  Multi-view representation  Series and parallel connection  Conventional neural network  Text classification