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CASIA OpenIR
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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：196/0  |  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：221/25  |  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：203/0  |  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  
Hashing Fake: Producing Adversarial Perturbation for Online Privacy Protection Against Automatic Retrieval Models 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载：233/0  |  提交时间：2022/11/14
Perturbation methods  Semantics  Computational modeling  Codes  Task analysis  Privacy  Software  Adversarial perturbation  deep neural network (DNN)  privacy protection  semantic retrieval  
Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Liu, Bin;  Wang, Xiao;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载：193/0  |  提交时间：2022/11/14
Training  Task analysis  Semantics  Perturbation methods  Feature extraction  Computational modeling  Robustness  Adversarial perturbation  adversarially robust training  deep hashing  multimodal retrieval  
Deep Learning for Adverse Event Detection From Web Search 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 34, 期号: 6, 页码: 2681-2695
作者:  Ahmad, Faizan;  Abbasi, Ahmed;  Kitchens, Brent;  Adjeroh, Donald;  Zeng, Daniel
收藏  |  浏览/下载：216/0  |  提交时间：2022/06/10
Event detection  Drugs  Deep learning  Twitter  Data mining  Context modeling  Automotive engineering  Adverse event detection  search queries  deep learning  auto encoders  query embeddings  user modeling  
COMBINING CROWD AND MACHINE INTELLIGENCE TO DETECT FALSE NEWS ON SOCIAL MEDIA 期刊论文
MIS QUARTERLY, 2022, 卷号: 46, 期号: 2, 页码: 977-1008
作者:  Wei, Xuan;  Zhang, Zhu;  Zhang, Mingyue;  Chen, Weiyun;  Zeng, Daniel Dajun
收藏  |  浏览/下载：191/0  |  提交时间：2022/07/25
False news  fake news  wisdom of crowds  hybrid intelligence  graphical model  
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：253/38  |  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  
Adaptively Weighted k-Tuple Metric Network for Kinship Verification 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  Huang, Sheng;  Lin, Jingkai;  Huangfu, Luwen;  Xing, Yun;  Hu, Junlin;  Zeng, Daniel Dajun
收藏  |  浏览/下载：186/0  |  提交时间：2022/06/10
Measurement  Feature extraction  Task analysis  Faces  Deep learning  Convolutional neural networks  Genetics  Deep learning  kinship verification  metric learning  relation network (RN)  triplet loss  
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：290/59  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence