12 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 12 cited
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
Dandan Guo, Long Tian, He Zhao +2
Few-shot classification aims to learn a classifier to recognize unseen classes during training, where the learned model can easily become over-fitted based on the biased distributi…
cs.LG2021★ 4 cited
Learning Prototype-oriented Set Representations for Meta-Learning
Dandan Guo, Long Tian, Minghe Zhang +2
Learning from set-structured data is a fundamental problem that has recently attracted increasing attention, where a series of summary networks are introduced to deal with the set…
cs.DC2015★ 4 cited
Optimization and analysis of large scale data sorting algorithm based on Hadoop
Zhuo Wang, Longlong Tian, Dianjie Guo +1
When dealing with massive data sorting, we usually use Hadoop which is a framework that allows for the distributed processing of large data sets across clusters of computers using…