28 citations · 37 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 4 cited
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data
Yuan Jin, Ming Liu, Yunfeng Li +4
Non-negative tensor factorization models enable predictive analysis on count data. Among them, Bayesian Poisson-Gamma models can derive full posterior distributions of latent facto…
cs.HC2018★ 5 cited
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…
cs.LG2018★ 28 cited
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…