11 citations · 24 across the 6 of their papers we have counts for
6 papers
A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose
Ce Zheng, Matias Mendieta, Pu Wang +2
Existing deep learning-based human mesh reconstruction approaches have a tendency to build larger networks in order to achieve higher accuracy. Computational complexity and model s…
Poisoning Attacks on Fair Machine Learning
Minh-Hao Van, Wei Du, Xintao Wu +1
Both fair machine learning and adversarial learning have been extensively studied. However, attacking fair machine learning models has received less attention. In this paper, we pr…
One-Class Adversarial Nets for Fraud Detection
Panpan Zheng, Shuhan Yuan, Xintao Wu +2
Many online applications, such as online social networks or knowledge bases, are often attacked by malicious users who commit different types of actions such as vandalism on Wikipe…
Spectrum-based deep neural networks for fraud detection
Shuhan Yuan, Xintao Wu, Jun Li +1
In this paper, we focus on fraud detection on a signed graph with only a small set of labeled training data. We propose a novel framework that combines deep neural networks and spe…
Interactive Movie Recommendation Through Latent Semantic Analysis and Storytelling
Kodzo Wegba, Aidong Lu, Yuemeng Li +1
Recommendation has become one of the most important components of online services for improving sale records, however visualization work for online recommendation is still very lim…
On Spectral Analysis of Directed Signed Graphs
Yuemeng Li, Xintao Wu, Aidong Lu
It has been shown that the adjacency eigenspace of a network contains key information of its underlying structure. However, there has been no study on spectral analysis of the adja…