Researcher profile · Semantic Scholar

Yunbo Ouyang

h-index: 5
Works: 11
Citations: 138

Most-cited papers

LiGNN: Graph Neural Networks at LinkedIn
Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani +19 more
2024Knowledge Discovery and Data Mining46 citations Open access
Semantic Scholar
Response Time Based Nonparametric Kullback-Leibler Divergence Measure for Detecting Aberrant Test-Taking Behavior
Kai-Wen Man, Jeffery R. Harring, Yunbo Ouyang, Sarah Thomas
201828 citations
Semantic Scholar
LiRank: Industrial Large Scale Ranking Models at LinkedIn
Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Si-Rou Zhu +30 more
2024Knowledge Discovery and Data Mining25 citations Open access
Semantic Scholar
Graph Regularized Meta-path Based Transductive Regression in Heterogeneous Information Network
Mengting Wan, Yunbo Ouyang, Lance M. Kaplan, Jiawei Han
2015SDM18 citations Open access
Semantic Scholar
Incremental Learning for Personalized Recommender Systems
Yunbo Ouyang, Jun Shi, Hai-Chao Wei, Hui-Ji Gao
2021arXiv.org6 citations
Semantic Scholar
LiMAML: Personalization of Deep Recommender Models via Meta Learning
Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang +9 more
2024Knowledge Discovery and Data Mining5 citations Open access
Semantic Scholar
Generalized Deep Mixed Models
Jun Shi, Chengming Jiang, Aman Gupta, Mingzhou Zhou +6 more
2022Knowledge Discovery and Data Mining4 citations
Semantic Scholar
An Ensemble EM Algorithm for Bayesian Variable Selection
Jin Wang, Yunbo Ouyang, Yuan Ji, Feng Liang
2016Bayesian Analysis4 citations Open access
Semantic Scholar
An Empirical Bayes Approach for High Dimensional Classification
Yunbo Ouyang, Feng Liang
20171 citations
Semantic Scholar
A Nonparametric Bayesian Approach for Sparse Sequence Estimation
Yunbo Ouyang, Feng Liang
20171 citations
Semantic Scholar
Scalable sparsity structure learning using Bayesian methods
Yunbo Ouyang
20180 citations
Semantic Scholar

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