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CASIA OpenIR
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Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China 期刊论文
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2023, 页码: 9
作者:  Yao, Yao;  Zhou, Hanchu;  Cao, Zhidong;  Zeng, Daniel Dajun;  Zhang, Qingpeng
收藏  |  浏览/下载：84/0  |  提交时间：2023/11/17
Covid-19  reinforcement learning  artificial intelligence  machine learning  mathematical modelling  infectious diseases  
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：123/0  |  提交时间：2023/11/16
COVID-19  Deep learning  Cross-lingual  Hate speech detection  Natural language processing  
CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs 期刊论文
IEEE INTELLIGENT SYSTEMS, 2023, 卷号: 38, 期号: 5, 页码: 56-64
作者:  Wang, Zikang;  Li, Linjing;  Li, Jinlin;  Zhao, Pengfei;  Zeng, Daniel
收藏  |  浏览/下载：101/0  |  提交时间：2023/11/15
Cognition  Intelligent systems  Spread spectrum communication  Data mining  Computational modeling  Complexity theory  Knowledge graphs  
CRule: Category-Aware Symbolic Multi-Hop Reasoning on Knowledge Graphs 期刊论文
IEEE Intelligent Systems, 2023, 页码: 1-9
作者:  Wang, Zikang;  Li, Linjing;  Li, Jinlin;  Zhao, Pengfei;  Zeng, Daniel
Adobe PDF(529Kb)  |  收藏  |  浏览/下载：83/25  |  提交时间：2023/07/28
A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media 期刊论文
IEEE Transactions on Computational Social Systems, 2023, 页码: 246-254
作者:  Liu, Lin;  Cao, Zhidong;  Zhao, Pengfei;  Paul Jen-Hwa Hu;  Zeng, Dajun;  Luo, Yin
Adobe PDF(2871Kb)  |  收藏  |  浏览/下载：103/27  |  提交时间：2023/05/30
Coronavirus disease of 2019 (COVID-19)  deep learning  public sentiment analysis  social media  social stigma  
Time-varying effects of search engine advertising on sales-An empirical investigation in E-commerce 期刊论文
DECISION SUPPORT SYSTEMS, 2022, 卷号: 163, 页码: 15
作者:  Yang, Yanwu;  Zhao, Kang;  Zeng, Daniel Dajun;  Jansen, Bernard Jim
收藏  |  浏览/下载：197/0  |  提交时间：2022/11/21
Online advertising  Electronic commerce  Advertising analytics  Business intelligence  
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：224/25  |  提交时间：2022/11/14
Adversarial example  Adversarial training  Model robustness  Contrastive learning  Natural language processing  
Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2022, 页码: 15
作者:  Zhao, Pengfei;  Li, Shuangqi;  Hu, Paul Jen-Hwa;  Cao, Zhidong;  Gu, Chenghong;  Xie, Da;  Zeng, Daniel Dajun
收藏  |  浏览/下载：204/0  |  提交时间：2022/11/14
Transportation  Computer crime  Renewable energy sources  Smart cities  Vehicle-to-grid  Uncertainty  Turbines  Cyber-attack  cyber security  electric vehicle  false data injection attacks  multi-energy system  smart city manage-ment  social effort  
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval 期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 3, 页码: 45-53
作者:  Zeng, Zhixiong;  Xu, Nan;  Mao, Wenji;  Zeng, Daniel
Adobe PDF(2545Kb)  |  收藏  |  浏览/下载：256/38  |  提交时间：2022/09/19
Semantics  Representation learning  Task analysis  Matrix decomposition  Automation  Interference  Intelligent systems  Cross-modal Retrieval  Representation Learning  Orthogonal Decomposition  
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：292/60  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence