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CASIA OpenIR
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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：92/0  |  提交时间：2023/11/15
Cognition  Intelligent systems  Spread spectrum communication  Data mining  Computational modeling  Complexity theory  Knowledge graphs  
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：39/0  |  提交时间：2023/11/17
Gated recurrent unit  graph representation learning  learning dynamic dependencies  stock prediction system  
Robust Monitor for Industrial IoT Condition Prediction 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629
作者:  Zhang, Xingwei;  Tian, Hu;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：48/0  |  提交时间：2023/11/17
Perturbation methods  Monitoring  Industrial Internet of Things  Training  Predictive models  Robustness  Temperature sensors  Adversarial perturbation  adversarial training  Industrial Internet of Things (IIoT)  machine learning (ML)  temporal convolutional network (TCN)  
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：92/25  |  提交时间：2023/05/30
Coronavirus disease of 2019 (COVID-19)  deep learning  public sentiment analysis  social media  social stigma  
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：81/24  |  提交时间：2023/07/28
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：216/25  |  提交时间：2022/11/14
Adversarial example  Adversarial training  Model robustness  Contrastive learning  Natural language processing  
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：220/0  |  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  
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：245/37  |  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：184/0  |  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：283/58  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence