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A cross-lingual transfer learning method for online COVID-19-related hate speech detection 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 234, 页码: 11
作者:  Liu, Lin;  Xu, Duo;  Zhao, Pengfei;  Zeng, Daniel Dajun;  Hu, Paul Jen-Hwa;  Zhang, Qingpeng;  Luo, Yin;  Cao, Zhidong
收藏  |  浏览/下载：176/0  |  提交时间：2023/11/16
COVID-19  Deep learning  Cross-lingual  Hate speech detection  Natural language processing  
ASCL: Adversarial supervised contrastive learning for defense against word substitution attacks 期刊论文
NEUROCOMPUTING, 2022, 卷号: 510, 页码: 59-68
作者:  Shi, Jiahui;  Li, Linjing;  Zeng, Daniel
Adobe PDF(1054Kb)  |  收藏  |  浏览/下载：274/33  |  提交时间：2022/11/14
Adversarial example  Adversarial training  Model robustness  Contrastive learning  Natural language processing  
SRGCN: Graph-based multi-hop reasoning on knowledge graphs 期刊论文
Neurocomputing, 2021, 卷号: 454, 期号: 454, 页码: 280-290
作者:  Wang, Zikang;  Li, Linjing;  Zeng, Daniel
Adobe PDF(1540Kb)  |  收藏  |  浏览/下载：241/69  |  提交时间：2021/05/31
knowledge graph  multi-hop reasoning  graph convolutional network  
Incorporating prior knowledge from counterfactuals into knowledge graph reasoning 期刊论文
Knowledge-Based Systems, 2021, 卷号: 223, 期号: 223, 页码: TBA
作者:  Wang, Zikang;  Li, Linjing;  Zeng, Daniel;  Wu, Xiaofei
Adobe PDF(1353Kb)  |  收藏  |  浏览/下载：367/161  |  提交时间：2021/05/31
knowledge graph  multi-hop reasoning  counterfactual  
A topic enhanced approach to detecting multiple standpoints in web texts 期刊论文
INFORMATION SCIENCES, 2019, 卷号: 501, 页码: 483-494
作者:  Lin, Junjie;  Kong, Qingchao;  Mao, Wenji;  Wang, Lei
Adobe PDF(1004Kb)  |  收藏  |  浏览/下载：363/98  |  提交时间：2019/10/08
Multiple standpoint detection  Topic model  Topic enhanced approach  Adaptive parameter determination  
HiWalk: Learning node embeddings from heterogeneous networks 期刊论文
INFORMATION SYSTEMS, 2019, 卷号: 81, 期号: 1, 页码: 82-91
作者:  Bai, Jie;  Li, Linjing;  Zeng, Daniel
浏览  |  Adobe PDF(776Kb)  |  收藏  |  浏览/下载：397/82  |  提交时间：2019/07/12
Network analysis  Representation learning  Behavioral analysis  Random walk  Heterogeneous network