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A deep latent space model for interpretable representation learning on directed graphs 期刊论文
NEUROCOMPUTING, 2024, 卷号: 576, 页码: 13
作者:  Yang, Hanxuan;  Kong, Qingchao;  Mao, Wenji
收藏  |  浏览/下载：8/0  |  提交时间：2024/05/30
Graph representation learning  Deep latent space model  Model interpretability  Variational auto-encoder  Directed graph  
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：59/0  |  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：94/0  |  提交时间：2023/11/17
Cross-modal retrieval  Adversarial training  Deep hashing model  Deep neural network  
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：249/0  |  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：205/0  |  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)  |  收藏  |  浏览/下载：285/42  |  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  
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images 期刊论文
NEURAL NETWORKS, 2022, 卷号: 152, 页码: 394-406
作者:  Zhang, Liwen;  Zhong, Lianzhen;  Li, Cong;  Zhang, Wenjuan;  Hu, Chaoen;  Dong, Di;  Liu, Zaiyi;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：303/0  |  提交时间：2022/07/25
Overall survival  Deep learning  Computed tomography (CT)  Neural network  
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：309/64  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence  
Development and Validation of a Deep Learning Model to Screen for Trisomy 21 During the First Trimester From Nuchal Ultrasonographic Images 期刊论文
JAMA NETWORK OPEN, 2022, 卷号: 5, 期号: 6, 页码: 11
作者:  Zhang, Liwen;  Dong, Di;  Sun, Yongqing;  Hu, Chaoen;  Sun, Congxin;  Wu, Qingqing;  Tian, Jie
Adobe PDF(1293Kb)  |  收藏  |  浏览/下载：242/2  |  提交时间：2022/07/25
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)  |  收藏  |  浏览/下载：431/74  |  提交时间：2022/06/10
Fact checking  Knowledge structure  Hierarchical prototype learning  Relation enhancement  Verification