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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：121/0  |  提交时间：2023/11/17
Cross-modal retrieval  Adversarial training  Deep hashing model  Deep neural network  
Fuzzy Deep Forest With Deep Contours Feature for Leaf Cultivar Classification 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 12, 页码: 5431-5444
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：237/0  |  提交时间：2023/01/09
Contour feature learning  data augmentation  deep forest  fuzzy logic  
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：273/0  |  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：233/0  |  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  
Consistent brain structural abnormalities and multisite individualised classification of schizophrenia using deep neural networks 期刊论文
BRITISH JOURNAL OF PSYCHIATRY, 2022, 页码: 8
作者:  Cui, Yue;  Li, Chao;  Liu, Bing;  Sui, Jing;  Song, Ming;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Lv, Luxian;  Ning, Yuping;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Wu, Huawang;  Yan, Hao;  Yan, Jun;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi
Adobe PDF(644Kb)  |  收藏  |  浏览/下载：325/12  |  提交时间：2022/06/06
Deep learning  grey matter  meta-analysis  multisite study  schizophrenia  
Adversarial Perturbation Defense on Deep Neural Networks 期刊论文
ACM COMPUTING SURVEYS, 2021, 卷号: 54, 期号: 8, 页码: 36
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Mao, Wenji
收藏  |  浏览/下载：216/0  |  提交时间：2021/12/28
Adversarial perturbation defense  deep neural networks  security  origin  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：356/48  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2020, 卷号: 341, 期号: 108756, 页码: 10
作者:  Zhao, Jianlong;  Huang, Jinjie;  Zhi, Dongmei;  Yan, Weizheng;  Ma, Xiaohong;  Yang, Xiao;  Li, Xianbin;  Ke, Qing;  Jiang, Tianzi;  Calhoun, Vince D.;  Sui, Jing
Adobe PDF(5325Kb)  |  收藏  |  浏览/下载：461/68  |  提交时间：2020/08/03
Resting-state fMRI  Generative adversarial networks (GAN)  Deep learning  Classification  Major depressive disorders  Schizophrenia  
Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 939-955
作者:  Gao, Jin;  Wang, Qiang;  Xing, Junliang;  Ling, Haibin;  Hu, Weiming;  Maybank, Stephen
Adobe PDF(4458Kb)  |  收藏  |  浏览/下载：329/14  |  提交时间：2020/06/02
Task analysis  Correlation  Target tracking  Probability distribution  Visualization  Collaboration  Visual tracking  Gaussian processes  correlation filters  transfer learning  tracking-by-fusion