Jie Liu

According to our database, Jie Liu authored at least 13 papers between 2012 and 2018.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2018

Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error.

Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.

Shara Feld, Kaitlin M. Woo, Roxana Alexandridis, Yirong Wu, Jie Liu, Peggy L. Peissig, Adedayo A. Onitilo, Jennifer Cox, David Page, Elizabeth S. Burnside

Proceedings of the AMIA 2018, 2018

2016

Structure-Leveraged Methods in Breast Cancer Risk Prediction.

Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside

J. Mach. Learn. Res., 2016

Discriminatory power of common genetic variants in personalized breast cancer diagnosis.

Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2015

Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution.

Jeremy C. Weiss, Finn Kuusisto, Kendrick Boyd, Jie Liu, David Page

Proceedings of the AMIA 2015, 2015

2014

Multiple Testing under Dependence via Semiparametric Graphical Models.

Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page

Proceedings of the 31th International Conference on Machine Learning, 2014

Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction.

Yirong Wu, Jie Liu, David Page, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside

Proceedings of the AMIA 2014, 2014

Learning Heterogeneous Hidden Markov Random Fields.

Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models.

Jie Liu, David Page

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms.

Jie Liu, David Page, Houssam Nassif, Jude W. Shavlik, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside

Proceedings of the AMIA 2013, 2013

2012

High-Dimensional Structured Feature Screening Using Binary Markov Random Fields.

Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies.

Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

A collective ranking method for genome-wide association studies.

Jie Liu, Elizabeth S. Burnside, Humberto J. Vidaillet, David Page

Proceedings of the ACM International Conference on Bioinformatics, 2012