39 citations · 129 across the 24 of their papers we have counts for
5 papers
Exploring Category-correlated Feature for Few-shot Image Classification
Jing Xu, Xinglin Pan, Xu Luo +2
Few-shot classification aims to adapt classifiers to novel classes with a few training samples. However, the insufficiency of training data may cause a biased estimation of feature…
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization
Guangxi Li, Zenglin Xu, Linnan Wang +3
Probabilistic Temporal Tensor Factorization (PTTF) is an effective algorithm to model the temporal tensor data. It leverages a time constraint to capture the evolving properties of…
Tensor Decomposition via Variational Auto-Encoder
Bin Liu, Zenglin Xu, Yingming Li
Tensor decomposition is an important technique for capturing the high-order interactions among multiway data. Multi-linear tensor composition methods, such as the Tucker decomposit…
Robust Metric Learning by Smooth Optimization
Kaizhu Huang, Rong Jin, Zenglin Xu +1
Most existing distance metric learning methods assume perfect side information that is usually given in pairwise or triplet constraints. Instead, in many real-world applications, t…
Sparse matrix-variate Gaussian process blockmodels for network modeling
Feng Yan, Zenglin Xu, Yuan +1
We face network data from various sources, such as protein interactions and online social networks. A critical problem is to model network interactions and identify latent groups o…