3 citations · 7 across the 11 of their papers we have counts for
11 papers
Non-Convex Tensor Recovery from Local Measurements
Tongle Wu, Ying Sun, Jicong Fan
Motivated by the settings where sensing the entire tensor is infeasible, this paper proposes a novel tensor compressed sensing model, where measurements are only obtained from sens…
Federated t-SNE and UMAP for Distributed Data Visualization
Dong Qiao, Xinxian Ma, Jicong Fan
High-dimensional data visualization is crucial in the big data era and these techniques such as t-SNE and UMAP have been widely used in science and engineering. Big data, however,…
Multi-Subspace Matrix Recovery from Permuted Data
Liangqi Xie, Jicong Fan
This paper aims to recover a multi-subspace matrix from permuted data: given a matrix, in which the columns are drawn from a union of low-dimensional subspaces and some columns are…
Unsupervised Anomaly Detection for Tabular Data Using Noise Evaluation
Wei Dai, Kai Hwang, Jicong Fan
Unsupervised anomaly detection (UAD) plays an important role in modern data analytics and it is crucial to provide simple yet effective and guaranteed UAD algorithms for real appli…
K-means Derived Unsupervised Feature Selection using Improved ADMM
Ziheng Sun, Chris Ding, Jicong Fan
Feature selection is important for high-dimensional data analysis and is non-trivial in unsupervised learning problems such as dimensionality reduction and clustering. The goal of…
Graph Classification via Reference Distribution Learning: Theory and Practice
Zixiao Wang, Jicong Fan
Graph classification is a challenging problem owing to the difficulty in quantifying the similarity between graphs or representing graphs as vectors, though there have been a few m…