User profiles for Xin Geng
Xin GengSchool of Computer Science and Engineering, Southeast University Verified email at seu.edu.cn Cited by 9882 |
Automatic age estimation based on facial aging patterns
While recognition of most facial variations, such as identity, expression, and gender, has
been extensively studied, automatic age estimation has rarely been explored. In contrast to …
been extensively studied, automatic age estimation has rarely been explored. In contrast to …
Cell death by pyroptosis drives CD4 T-cell depletion in HIV-1 infection
The pathway causing CD4 T-cell death in HIV-infected hosts remains poorly understood
although apoptosis has been proposed as a key mechanism. We now show that caspase-3-…
although apoptosis has been proposed as a key mechanism. We now show that caspase-3-…
Facial age estimation by learning from label distributions
One of the main difficulties in facial age estimation is that the learning algorithms cannot
expect sufficient and complete training data. Fortunately, the faces at close ages look quite …
expect sufficient and complete training data. Fortunately, the faces at close ages look quite …
Label distribution learning
X Geng - IEEE Transactions on Knowledge and Data …, 2016 - ieeexplore.ieee.org
Although multi-label learning can deal with many problems with label ambiguity, it does not
fit some real applications well where the overall distribution of the importance of the labels …
fit some real applications well where the overall distribution of the importance of the labels …
IFI16 DNA sensor is required for death of lymphoid CD4 T cells abortively infected with HIV
The progressive depletion of quiescent “bystander” CD4 T cells, which are nonpermissive to
HIV infection, is a principal driver of the acquired immunodeficiency syndrome (AIDS). …
HIV infection, is a principal driver of the acquired immunodeficiency syndrome (AIDS). …
Supervised nonlinear dimensionality reduction for visualization and classification
When performing visualization and classification, people often confront the problem of
dimensionality reduction. Isomap is one of the most promising nonlinear dimensionality reduction …
dimensionality reduction. Isomap is one of the most promising nonlinear dimensionality reduction …
Projection functions for eye detection
In this paper, the generalized projection function (GPF) is defined. Both the integral projection
function (IPF) and the variance projection function (VPF) can be viewed as special cases …
function (IPF) and the variance projection function (VPF) can be viewed as special cases …
Deep label distribution learning with label ambiguity
Convolutional neural networks (ConvNets) have achieved excellent recognition performance
in various visual recognition tasks. A large labeled training set is one of the most important …
in various visual recognition tasks. A large labeled training set is one of the most important …
Efficient diffusion training via min-snr weighting strategy
Denoising diffusion models have been a mainstream approach for image generation, however,
training these models often suffers from slow convergence. In this paper, we discovered …
training these models often suffers from slow convergence. In this paper, we discovered …
Binary relevance for multi-label learning: an overview
Multi-label learning deals with problems where each example is represented by a single
instance while being associated with multiple class labels simultaneously. Binary relevance is …
instance while being associated with multiple class labels simultaneously. Binary relevance is …