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Semantic Graph-enhanced Visual Network for Zero-shot Learning

Jun 08, 2020
Yang Hu, Guihua Wen, Adriane Chapman, Pei Yang, Mingnan Luo, Yingxue Xu, Dan Dai, Wendy Hall

* 15 pages, 8 figures 

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Multiple Attentional Pyramid Networks for Chinese Herbal Recognition

May 13, 2020
Yingxue Xu, Guihua Wen, Yang Hu, Mingnan Luo, Dan Dai, Yishan Zhuang, Wendy Hall

* 14 pages, 8 figures 

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Inner-Imaging Convolutional Networks

Apr 22, 2019
Yang Hu, Guihua Wen, Mingnan Luo, Dan Dai, Wenming Cao, Zhiwen Yu

* 7 pages, 6 figures 

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Stochastic Region Pooling: Make Attention More Expressive

Apr 22, 2019
Mingnan Luo, Guihua Wen, Yang Hu, Dan Dai, Yingxue Xu


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Chinese Herbal Recognition based on Competitive Attentional Fusion of Multi-hierarchies Pyramid Features

Dec 23, 2018
Yingxue Xu, Guihua Wen, Yang Hu, Mingnan Luo, Dan Dai, Yishan Zhuang

* New Datasets for Chinese Herbs Recognition 

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Convolutional herbal prescription building method from multi-scale facial features

Dec 17, 2018
Huiqiang Liao, Guihua Wen, Yang Hu, Changjun Wang


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Competitive Inner-Imaging Squeeze and Excitation for Residual Network

Jul 25, 2018
Yang Hu, Guihua Wen, Mingnan Luo, Dan Dai, Jiajiong Ma

* Code is available at https://github.com/scut-aitcm/CompetitiveSENet 

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Automatic construction of Chinese herbal prescription from tongue image via CNNs and auxiliary latent therapy topics

Mar 01, 2018
Yang Hu, Guihua Wen, Huiqiang Liao, Changjun Wang, Dan Dai, Zhiwen Yu, Jun Zhang


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Tongue image constitution recognition based on Complexity Perception method

Mar 01, 2018
Jiajiong Ma, Guihua Wen, Yang Hu, Tianyuan Chang, Haibin Zeng, Lijun Jiang, Jianzeng Qin


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Facial Expression Recognition Based on Complexity Perception Classification Algorithm

Mar 01, 2018
Tianyuan Chang, Guihua Wen, Yang Hu, JiaJiong Ma


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Supervised Deep Hashing for Hierarchical Labeled Data

Sep 12, 2017
Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Liqiang Nie, Guihua Wen, Xian-Ling Mao

* 9 pages 

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Conceptualization Topic Modeling

Apr 07, 2017
Yi-Kun Tang, Xian-Ling Mao, Heyan Huang, Guihua Wen

* 7 pages 

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