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共16条,第1-10条
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语种:英语
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CGNN: A Compatibility-aware Graph Neural Network for Social Media Bot Detection
期刊论文
IEEE Transactions on Computational Social System, 2024, 页码: Early Access
作者:
Huang, Haitao
;
Tian, Hu
;
Zheng, Xiaolong
;
Zhang, Xingwei
;
Zeng, Dajun
;
Wang, Feiyue
Adobe PDF(2267Kb)
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浏览/下载:32/14
  |  
提交时间:2024/07/08
graph neural network
heterogeneous compatibility
social media bot detection
Disentangled Text Representation Learning With Information-Theoretic Perspective for Adversarial Robustness
期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2024, 卷号: 32, 页码: 1237-1247
作者:
Zhao, Jiahao
;
Mao, Wenji
;
Zeng, Daniel Dajun
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/07/03
Adversarial robustness
variation of information
disentangled text representation learning
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:91/0
  |  
提交时间:2023/11/17
Gated recurrent unit
graph representation learning
learning dynamic dependencies
stock prediction system
Boosting deep cross-modal retrieval hashing with adversarially robust training
期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 13
作者:
Zhang, Xingwei
;
Zheng, Xiaolong
;
Mao, Wenji
;
Zeng, Daniel Dajun
收藏
  |  
浏览/下载:126/0
  |  
提交时间:2023/11/17
Cross-modal retrieval
Adversarial training
Deep hashing model
Deep neural network
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
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浏览/下载:101/0
  |  
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)
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:276/0
  |  
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:236/0
  |  
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
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)
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收藏
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浏览/下载:368/57
  |  
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)
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收藏
  |  
浏览/下载:358/85
  |  
提交时间:2022/07/25
graph representation learning
deep learning
predictive models
business intelligence
Knowledge structure driven prototype learning and verification for fact checking
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 238, 页码: 10
作者:
Wang, Shuai
;
Mao, Wenji
;
Wei, Penghui
;
Zeng, Daniel D.
Adobe PDF(965Kb)
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收藏
  |  
浏览/下载:507/92
  |  
提交时间:2022/06/10
Fact checking
Knowledge structure
Hierarchical prototype learning
Relation enhancement
Verification