Search Results for author: Ying Du

Found 5 papers, 3 papers with code

Deep Mutual Learning across Task Towers for Effective Multi-Task Recommender Learning

no code implementations19 Sep 2023 Yi Ren, Ying Du, Bin Wang, Shenzheng Zhang

Recommender systems usually leverage multi-task learning methods to simultaneously optimize several objectives because of the multi-faceted user behavior data.

Multi-Task Learning Recommendation Systems

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

1 code implementation27 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.

Decoder News Recommendation +1

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

no code implementations6 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 implementations22 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 Graph Anomaly Detection +2

Cannot find the paper you are looking for? You can Submit a new open access paper.