Large Scale Variational Bayesian Inference for Structured Scale Mixture Models. - Young-Jun Ko; Matthias W. Seeger (ICML, 2012)

Variational Gaussian Inference for Bilinear Models of Count Data. - Young-Jun Ko; Mohammad Emtiyaz Khan (ACML, 2014)

Scalable Collaborative Bayesian Preference Learning. - Mohammad Emtiyaz Khan; Young-Jun Ko; Matthias W. Seeger (AISTATS, 2014)

Expectation Propagation for Rectified Linear Poisson Regression. - Young-Jun Ko; Matthias W. Seeger (ACML, 2015)

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems. - Young-Jun Ko; Lucas Maystre; Matthias Grossglauser (ACML, 2016)

Applications of Approximate Learning and Inference for Probabilistic Models. - Young-Jun Ko (2017)

Catadioptric Imaging System with a Hybrid Hyperbolic Reflector for Vehicle Around-View Monitoring. - Young-Jun Ko; Soo-Yeong Yi (J. Math. Imaging Vis., 2018)