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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
Authors:  Zhang, Xingwei;  Zheng, Xiaolong;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
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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
Authors:  Zhang, Xingwei;  Zheng, Xiaolong;  Liu, Bin;  Wang, Xiao;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
Favorite  |  View/Download：28/0  |  Submit date：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
Authors:  Zeng, Zhixiong;  Xu, Nan;  Mao, Wenji;  Zeng, Daniel
Favorite  |  View/Download：28/0  |  Submit date：2022/09/19
Semantics  Representation learning  Task analysis  Matrix decomposition  Automation  Interference  Intelligent systems  Cross-modal Retrieval  Representation Learning  Orthogonal Decomposition  
Knowledge structure driven prototype learning and verification for fact checking 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 238, 页码: 10
Authors:  Wang, Shuai;  Mao, Wenji;  Wei, Penghui;  Zeng, Daniel D.
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Fact checking  Knowledge structure  Hierarchical prototype learning  Relation enhancement  Verification  
Knowledge Guided Metric Learning for Few-Shot Text Classification 会议论文
, Online, 2021-6
Authors:  Dianbo Sui;  Yubo Chen;  Binjie Mao;  Delai Qiu;  Kang Liu;  Jun Zhao
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A Study of Personal Recognition Method Based on EMG Signal 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2020, 卷号: 14, 期号: 4, 页码: 681-691
Authors:  Lu, Lijing;  Mao, Jingna;  Wang, Wuqi;  Ding, Guangxin;  Zhang, Zhiwei
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Electromyography  personal identification  personal verification  discrete wavelet transform  ExtraTreesClassifer  continuous wavelet transform  convolutional neural networks  transfer learning  siamese network  
Development and External Validation of Radiomics Approach for Nuclear Grading in Clear Cell Renal Cell Carcinoma 期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2020, 卷号: 27, 期号: 10, 页码: 4057–4065
Authors:  Zhou, Hongyu;  Mao, Haixia;  Dong, Di;  Fang, Mengjie;  Gu, Dongsheng;  Liu, Xueling;  Xu, Min;  Yang, Shudong;  Zou, Jian;  Yin, Ruohan;  Zheng, Hairong;  Tian, Jie;  Pan, Changjie;  Fang, Xiangming;  Zhou, Hongyu;  Mao, Haixia;  Dong, Di;  Fang, Mengjie;  Gu, Dongsheng;  Liu, Xueling;  Xu, Min;  Yang, Shudong;  Zou, Jian;  Yin, Ruohan;  Zheng, Hairong;  Tian, Jie;  Pan, Changjie;  Fang, Xiangming
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Clear Cell Renal Cell Carcinoma  
An EMG-Based Personal Identification Method Using Continuous Wavelet Transform and Convolutional Neural Networks 会议论文
, Nara, Japan, 2019-10
Authors:  Lu, Lijing;  Mao, Jingna;  Wang, Wuqi;  Ding, Guangxin;  Zhang, Zhiwei
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Prognostic Value of Deep Learning PET/CT-Based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma 期刊论文
CLINICAL CANCER RESEARCH, 2019, 卷号: 25, 期号: 14, 页码: 4271-4279
Authors:  Peng, Hao;  Dong, Di;  Fang, Meng-Jie;  Li, Lu;  Tang, Ling-Long;  Chen, Lei;  Li, Wen-Fei;  Mao, Yan-Ping;  Fan, Wei;  Liu, Li-Zhi;  Tian, Li;  Lin, Ai-Hua;  Sun, Ying;  Tian, Jie;  Ma, Jun
Adobe PDF(1141Kb)  |  Favorite  |  View/Download：177/15  |  Submit date：2019/12/16
Advanced Nasopharyngeal Carcinoma  
NPP: A neural popularity prediction model for social media content 期刊论文
Neurocomputing, 2019, 卷号: 333, 期号: 2019, 页码: 221–230
Authors:  Guandan, Chen;  Qingchao, Kong;  Nan, Xu;  Wenji, Mao
Adobe PDF(1486Kb)  |  Favorite  |  View/Download：365/193  |  Submit date：2019/05/06
Social Media  Popularity Prediction  Deep Neural Network  Attention Mechanism