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Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study


Apr 25, 2021
Qinghao Ye, Jun Xia, Guang Yang

* 6 pages, 4 figures, IEEE CBMS 2021 

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Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond


Feb 03, 2021
Guang Yang, Qinghao Ye, Jun Xia

* 68 pages, 19 figures, submitted to the Information Fusion journal 

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Invertible Manifold Learning for Dimension Reduction


Oct 07, 2020
Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li

* 18 pages. We propose a novel invertible dimension reduction process for manifold learning with a neural network implementation, and explore the inherent difficulty of manifold learning in real-world secnarios by the way 

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Deep Clustering and Representation Learning that Preserves Geometric Structures


Sep 29, 2020
Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan. Z Li

* 20 pages 

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Deep Clustering and Representation Learning with Geometric Structure Preservation


Sep 21, 2020
Lirong Wu, Zicheng Liu, Jun Xia, Siyuan Li, Stan. Z Li

* 20 pages 

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Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images


Apr 14, 2020
Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang

* 21 pages, 7 figures 

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Meta-Embeddings Based On Self-Attention


Mar 03, 2020
Qichen Li, Xiaoke Jiang, Jun Xia, Jian Li


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