UMR CNRS 7253

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Belief function-based semi-supervised learning for brain tumor segmentation. L.Huang, S. Ruan, T. denoeux. 2021 IEEE International Symposium on Biomedical Imaging (ISBI) (ISBI 2021).

Covid-19 classification with deep neural network and belief functions. L.Huang, S. Ruan, T. denoeux. 2021 International Conference on Biomedical Informatics and Health Informatics (BIHI2021),Hangzhou, China.

Adversarial Learning for Content-Based Image Retrieval, L Huang, C Bai, Y Lu, S Chen, Q Tian, 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, USA, 2019, pp. 97-102.

Optimization of deep convolutional neural network forlarge scale image retrieval, Cong Bai, Ling Huang, Jianwei Zheng,Xiang Pan, Shenyong Chen, Neurocomputing, 303,60-67, 2018(SCI, IF 3.317)

面向大规模图像分类的深度卷积神经网络的优化, 白琮,黄玲,陈佳楠,潘翔,陈胜勇. 软件学报,2018,4,1-11 (EI)

Saliency-based multi-feature modeling forsemantic image retrieval. Cong Bai, Jia-an Chen, Ling Huang,Kidiyo Kpalma, Shenyong Chen. Journal of Visual Communication & ImageRepresentation, 2018, 50:199-204 (SCI, IF 2.164)

Instance Image Retrieval with Generative Adversarial Training, Hongkai Li, Cong Bai, Ling Huang, Yugang Jiang, Shengyong Chen. International Conference on Multimedia Modeling, 381-392,2020

Visual Saliency Fusion Based Multi-feature for Semantic Image Retrieval.Chen J, Bai C, Huang L, Liu Z, Chen S. InCCF Chinese Conference on Computer Vision 2017 Oct 11 (pp. 126-136). Springer, Singapore.


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