Jingqiao Wang

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The discovery of key and distinctive parts is critical for scene parsing and understanding. However, it is a challenging problem due to the weakly supervised condition, i.e., no annotation for parts is available. To address above issues, we propose a unified framework for learning a representative and discriminative part model with deep convolutional(More)
The gap between the growing demand for available organs and the cadaveric organs facilitates the adoption of living donor liver transplantation. We retrospectively identified and evaluated the post-operative complications as per the modified Clavien classification system in 152 living liver donors at at the First Affiliated Hospital, College of Medicine,(More)
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