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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：218/0  |  提交时间：2023/01/09
Contour feature learning  data augmentation  deep forest  fuzzy logic  
IPGAN: Identity-Preservation Generative Adversarial Network for unsupervised photo-to-caricature translation 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 241, 页码: 11
作者:  Yan, Lan;  Zheng, Wenbo;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3723Kb)  |  收藏  |  浏览/下载：314/50  |  提交时间：2022/06/10
Photo-to-caricature translation  Generative adversarial networks  Image-to-image translation  Style transfer  Image warping  
Multimodal Unknown Surface Material Classification and Its Application to Physical Reasoning 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 7, 页码: 4406-4416
作者:  Wei, Junhang;  Cui, Shaowei;  Hu, Jingyi;  Hao, Peng;  Wang, Shuo;  Lou, Zheng
Adobe PDF(3954Kb)  |  收藏  |  浏览/下载：401/64  |  提交时间：2022/06/10
Robots  Convolutional neural networks  Visualization  Informatics  Feature extraction  Task analysis  Haptic interfaces  Auditory and haptic information  deep learning  multimodal fusion  physical reasoning  unknown surface material classification (USMC)  
Computational knowledge vision: paradigmatic knowledge based prescriptive learning and reasoning for perception and vision 期刊论文
ARTIFICIAL INTELLIGENCE REVIEW, 2022, 页码: 36
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：199/0  |  提交时间：2022/06/06
Computer vision  Knowledge engineering  Deep learning  Graph learning  Meta-learning  Transformer  Artificial intelligence (AI)  
Supervised assisted deep reinforcement learning for emergency voltage control of power systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 475, 页码: 69-79
作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Dai, Yuxin;  Yu, Zhihong;  Zhang, Jun Jason;  Bu, Guangquan;  Wang, Fei-Yue
Adobe PDF(2551Kb)  |  收藏  |  浏览/下载：336/68  |  提交时间：2022/06/06
Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Emergency control  
Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition 期刊论文
INFORMATION FUSION, 2022, 卷号: 80, 页码: 1-22
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：271/0  |  提交时间：2022/01/27
Meta-learning  Internet of Things  Graph model  Attention mechanisms  
SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning 期刊论文
NEUROCOMPUTING, 2022, 卷号: 467, 页码: 300-309
作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Jin, Junchen;  Huang, Yanhao;  Zhang, Jun Jason;  Wang, Fei-Yue
Adobe PDF(1244Kb)  |  收藏  |  浏览/下载：314/70  |  提交时间：2021/12/28
Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Double DQN  
IsGAN: Identity-sensitive generative adversarial network for face photo-sketch synthesis 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 119, 页码: 13
作者:  Yan, Lan;  Zheng, Wenbo;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(4465Kb)  |  收藏  |  浏览/下载：277/39  |  提交时间：2021/11/03
Face photo-sketch synthesis  Image-to-image translation  Generative adversarial networks  Convolutional neural network  Face recognition  
Pay attention to doctor & ndash;patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis 期刊论文
INFORMATION FUSION, 2021, 卷号: 75, 页码: 168-185
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun Jason;  Hu, Ming;  Wang, Fei-Yue
收藏  |  浏览/下载：269/0  |  提交时间：2021/11/02
COVID-19 diagnose  Knowledge attention mechanism  Knowledge-based representation learning  Knowledge embedding  
Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 页码: 32
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun J.;  Hu, Ming;  Wang, Fei-Yue
收藏  |  浏览/下载：250/0  |  提交时间：2021/06/15
biomedical imaging  COVID‐  19  knowledge distillation  meta‐  learning  unsupervised learning