130 citations · 186 across the 5 of their papers we have counts for
5 papers
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
As a pivotal tool to alleviate the information overload problem, recommender systems aim to predict user's preferred items from millions of candidates by analyzing observed user-it…
Hyperparameter-free and Explainable Whole Graph Embedding
Hao Wang, Yue Deng, Linyuan Lü +1
Graphs can be used to describe complex systems. Recently, whole graph embedding (graph representation learning) can compress a graph into a compact lower-dimension vector while pre…
An Alignment-Agnostic Model for Chinese Text Error Correction
Liying Zheng, Yue Deng, Weishun Song +2
This paper investigates how to correct Chinese text errors with types of mistaken, missing and redundant characters, which is common for Chinese native speakers. Most existing mode…
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection
Liang Xu, Liying Zheng, Weijun Li +6
In recent studies, Lots of work has been done to solve time series anomaly detection by applying Variational Auto-Encoders (VAEs). Time series anomaly detection is a very common bu…
Low-Rank Structure Learning via Log-Sum Heuristic Recovery
Yue Deng, Qionghai Dai, Risheng Liu +2
Recovering intrinsic data structure from corrupted observations plays an important role in various tasks in the communities of machine learning and signal processing. In this paper…