29 citations · 69 across the 4 of their papers we have counts for
4 papers
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
Chen Li, Yang Cao, Ye Zhu +3
Using knowledge graphs to assist deep learning models in making recommendation decisions has recently been proven to effectively improve the model's interpretability and accuracy.…
Detecting Change Intervals with Isolation Distributional Kernel
Yang Cao, Ye Zhu, Kai Ming Ting +4
Detecting abrupt changes in data distribution is one of the most significant tasks in streaming data analysis. Although many unsupervised Change-Point Detection (CPD) methods have…
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control
Yuan Jin, Mark Carman, Ye Zhu +1
Online crowdsourcing provides a scalable and inexpensive means to collect knowledge (e.g. labels) about various types of data items (e.g. text, audio, video). However, it is also k…
Hierarchical clustering that takes advantage of both density-peak and density-connectivity
Ye Zhu, Kai Ming Ting, Yuan Jin +1
This paper focuses on density-based clustering, particularly the Density Peak (DP) algorithm and the one based on density-connectivity DBSCAN; and proposes a new method which takes…