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Everybody’s Talkin’: Let Me Talk as You Want 期刊论文
IEEE Transactions on Information Forensics and Security, 2022, 卷号: 17, 期号: 1, 页码: 585 - 598
作者:  宋林森;  吴文岩;  钱晨;  赫然;  Loy, Chen Change
Adobe PDF(15432Kb)  |  收藏  |  浏览/下载:79/11  |  提交时间:2023/06/29
Talking face generation  Video generation  GAN  Audio dubbing  
The Detection of Divalent Iron and Reactive Oxygen Species During Ferroptosis with the Use of a Dual-Reaction Turn-On Fluorescent Probe 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2022, 页码: 12
作者:  Wang, Yueqi;  Li, Changjian;  Zhuo, Jiaming;  Hui, Hui;  Zhou, Bing;  Tian, Jie
Adobe PDF(1924Kb)  |  收藏  |  浏览/下载:336/95  |  提交时间:2022/11/14
Dual-reaction  Fe(II)  Ferroptosis  Fluorescent probes  ROS  Turn-on response  
Deep patch learning algorithms with high interpretability for regression problems 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 38
作者:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng;  Wang, Shiping
收藏  |  浏览/下载:190/0  |  提交时间:2022/07/25
deep learning  deep patch learning fuzzy system  fuzzy C-means clustering  interpretability  maximum information coefficient (MIC)  Pearson's correlation coefficients (PCC)  
Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems 期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891
作者:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng
收藏  |  浏览/下载:178/0  |  提交时间:2022/07/25
Computational modeling  Training  Microwave integrated circuits  Deep learning  Data models  Artificial neural networks  Training data  Fuzzy c-means (FCM) clustering  maximal information coefficient (MIC)  random input (RI)  deep patch learning classifier  interpretability  
Energy Theft Detection in Smart Grids: Taxonomy, Comparative Analysis, Challenges, and Future Research Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 4, 页码: 578-600
作者:  Mohsin Ahmed, Abid Khan, Mansoor Ahmed, Mouzna Tahir, Gwanggil Jeon, Giancarlo Fortino, Francesco Piccialli
Adobe PDF(2767Kb)  |  收藏  |  浏览/下载:180/48  |  提交时间:2022/03/09
Challenges,comparative analysis,energy theft detection,future research directions,smart grid,taxonomy