Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder

1 code implementation • 27 May 2022 • Xu Zhao, Yi Ren, Ying Du, Shenzheng Zhang, Nian Wang

This paper attempts to tackle the item cold-start problem by generating enhanced warmed-up ID embeddings for cold items with historical data and limited interaction records.

News Recommendation Recommendation Systems

Fast sensor placement by enlarging principle submatrix for large-scale linear inverse problems

no code implementations • 6 Oct 2021 • Fen Wang, Gene Cheung, Taihao Li, Ying Du, Yu-Ping Ruan

Sensor placement for linear inverse problems is the selection of locations to assign sensors so that the entire physical signal can be well recovered from partial observations.

One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks

3 code implementations • 22 Feb 2020 • Xuhong Wang, Baihong Jin, Ying Du, Ping Cui, Yupu Yang

Since traditional anomaly detection methods are stable, robust and easy to use, it is vitally important to generalize them to graph data.

General Classification One-Class Classification

adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection

2 code implementations • 3 Mar 2019 • Xuhong Wang, Ying Du, Shi-Jie Lin, Ping Cui, Yuntian Shen, Yupu Yang

We assume that both the anomalous and the normal prior distribution are Gaussian and have overlaps in the latent space.

Unsupervised Anomaly Detection