CASIA OpenIR
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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:60/0  |  提交时间:2023/11/17
Cross-modal retrieval  Adversarial training  Deep hashing model  Deep neural network  
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:32/0  |  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:35/0  |  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)  
Improving the Data Quality for Credit Card Fraud Detection 会议论文
, Arlington, VA, USA, 2022-11
作者:  Rongrong Jing;  Hu Tian;  Yidi Li;  Xingwei Zhang;  Xiaolong Zheng;  Zhu Zhang;  Daniel Dajun Zeng
Adobe PDF(472Kb)  |  收藏  |  浏览/下载:327/69  |  提交时间:2022/06/17
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:204/0  |  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:172/0  |  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  
Self-Training Based Semi-Supervised and Semi-Paired Hashing Cross-Modal Retrieval 会议论文
, Padua, Italy, 2022-07
作者:  Rongrong Jing;  Hu Tian;  Xingwei Zhang;  Gang Zhou;  Xiaolong Zheng;  Dajun Zeng
Adobe PDF(682Kb)  |  收藏  |  浏览/下载:245/49  |  提交时间:2022/06/17
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:255/49  |  提交时间:2022/07/25
graph representation learning  deep learning  predictive models  business intelligence  
Robust Detection of Malicious URLs With Self-Paced Wide & Deep Learning 期刊论文
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2022, 卷号: 19, 期号: 2, 页码: 717-730
作者:  Liang, Yunji;  Wang, Qiushi;  Xiong, Kang;  Zheng, Xiaolong;  Yu, Zhiwen;  Zeng, Daniel
收藏  |  浏览/下载:168/0  |  提交时间:2022/06/06
paced learning  temporal convolutional network  factorization machine  wide & deep  malicious URL detection  
Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 14
作者:  Zheng, Xiaolong;  Tian, Hu;  Wan, Zhe;  Wang, Xiao;  Zeng, Daniel Dajun;  Wang, Fei-Yue
Adobe PDF(8005Kb)  |  收藏  |  浏览/下载:182/13  |  提交时间:2022/01/27
Social networking (online)  Dictionaries  Stock markets  Investment  Games  Analytical models  Market research  Dynamic interaction network  financial market  GameStop  short squeeze  social network analysis