21 citations · 21 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Entropy Neural Estimation for Graph Contrastive Learning
Yixuan Ma, Xiaolin Zhang, Peng Zhang +1
Contrastive learning on graphs aims at extracting distinguishable high-level representations of nodes. In this paper, we theoretically illustrate that the entropy of a dataset can…
cs.LG2021
Stationary Diffusion State Neural Estimation for Multiview Clustering
Chenghua Liu, Zhuolin Liao, Yixuan Ma +1
Although many graph-based clustering methods attempt to model the stationary diffusion state in their objectives, their performance limits to using a predefined graph. We argue tha…
cs.CR2021★ 21 cited
A Comprehensive Study on Learning-Based PE Malware Family Classification Methods
Yixuan Ma, Shuang Liu, Jiajun Jiang +2
Driven by the high profit, Portable Executable (PE) malware has been consistently evolving in terms of both volume and sophistication. PE malware family classification has gained g…