141 citations · 190 across the 15 of their papers we have counts for
6 papers · 1 filter
An Evolution Kernel Method for Graph Classification through Heat Diffusion Dynamics
Xue Liu, Dan Sun, Wei Wei +1
Autonomous individuals establish a structural complex system through pairwise connections and interactions. Notably, the evolution reflects the dynamic nature of each complex syste…
Contextual Bandits with Budgeted Information Reveal
Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu +1
Contextual bandit algorithms are commonly used in digital health to recommend personalized treatments. However, to ensure the effectiveness of the treatments, patients are often re…
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies
Xue Liu, Dan Sun, Xiaobo Cao +2
Graph embedding provides a feasible methodology to conduct pattern classification for graph-structured data by mapping each data into the vectorial space. Various pioneering works…
A Graph Data Augmentation Strategy with Entropy Preservation
Xue Liu, Dan Sun, Wei Wei
The Graph Convolutional Networks (GCN) proposed by Kipf and Welling is an effective model for semi-supervised learning, but faces the obstacle of over-smoothing, which will weaken…
Variational Nested Dropout
Yufei Cui, Yu Mao, Ziquan Liu +5
Nested dropout is a variant of dropout operation that is able to order network parameters or features based on the pre-defined importance during training. It has been explored for:…
Feature Statistics Guided Efficient Filter Pruning
Hang Li, Chen Ma, Wei Xu +1
Building compact convolutional neural networks (CNNs) with reliable performance is a critical but challenging task, especially when deploying them in real-world applications. As a…