10 citations · 51 across the 19 of their papers we have counts for
4 papers · 1 filter
IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation
Sibo Zhu, Handong Zhao, Hongfu Liu
Outlier detection is one of the most popular and continuously rising topics in the data mining field due to its crucial academic value and extensive industrial applications. Among…
Deep Clustering based Fair Outlier Detection
Hanyu Song, Peizhao Li, Hongfu Liu
In this paper, we focus on the fairness issues regarding unsupervised outlier detection. Traditional algorithms, without a specific design for algorithmic fairness, could implicitl…
SelfDoc: Self-Supervised Document Representation Learning
Peizhao Li, Jiuxiang Gu, Jason Kuen +5
We propose SelfDoc, a task-agnostic pre-training framework for document image understanding. Because documents are multimodal and are intended for sequential reading, our framework…
Fairness-Aware Unsupervised Feature Selection
Xiaoying Xing, Hongfu Liu, Chen Chen +1
Feature selection is a prevalent data preprocessing paradigm for various learning tasks. Due to the expensive cost of acquiring supervision information, unsupervised feature select…