Yingjian Wang
Title
Cited by
Cited by
Year
Scalable Bayesian low-rank decomposition of incomplete multiway tensors
P Rai, Y Wang, S Guo, G Chen, D Dunson, L Carin
International Conference on Machine Learning, 1800-1808, 2014
1132014
The kernel beta process
L Ren, Y Wang, L Carin, D Dunson
Advances in Neural Information Processing Systems 24, 963-971, 2011
332011
Leveraging Features and Networks for Probabilistic Tensor Decomposition
P Rai, Y Wang, L Carin
The Twenty-Ninth AAAI Conference on Artificial Intelligence AAAI 2015, 2015
262015
Levy measure decompositions for the beta and gamma processes
Y Wang, L Carin
International Conference of Machine Learning (ICML) 2012, 2012
212012
Latent Gaussian models for topic modeling
C Hu, E Ryu, D Carlson, Y Wang, L Carin
Artificial Intelligence and Statistics, 393-401, 2014
72014
Parallel carrier recovery in all-digital receiver
Y Wang, Y Zhang, Z Yang
2009 5th International Conference on Wireless Communications, Networking andá…, 2009
32009
Multiple-symbol parallel interpolation in all-digital receiver
Y Wang, Y Zhang, Z Yang
2009 5th International Conference on Wireless Communications, Networking andá…, 2009
32009
Single-Symbol Parallel Interpolation in All-Digital Receiver
Y Wang, Y Zhang, Z Yang
2008 4th International Conference on Wireless Communications, Networking andá…, 2008
32008
Gaussian beta process
Y Wang
Duke University, 2014
12014
Using Temporal Discovery and Data-Driven Journey-Maps to Predict Customer Satisfaction
J Bockhorst, Y Wang, S Gupta, M Qazi, M Sun, G Fung
2016 15th IEEE International Conference on Machine Learning and Applicationsá…, 2016
2016
Application of Stochastic Processes in Nonparametric Bayes
Y Wang
Duke University, 2014
2014
LÚvy Measure Decompositions for the Beta and Gamma Processes (Supplementary material)
Y Wang, L Carin
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Articles 1–12