Jie Liu - RankMe

15 papers A* 1A 4Misc 4Journal 3Unranked 3

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. CoRR Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page
2018	Misc	`conf`	Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants. AMIA Shara Feld, Kaitlin M. Woo, Roxana Alexandridis, Yirong Wu, Jie Liu, Peggy L. Peissig, Adedayo A. Onitilo, Jennifer Cox, David Page, Elizabeth S. Burnside
2018	A	`conf`	Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. UAI Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page
2016	—	`conf`	Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Image Perception, Observer Performance, and Technology Assessment Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside
2016	J	`jnl`	Structure-Leveraged Methods in Breast Cancer Risk Prediction. J. Mach. Learn. Res. Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside
2015	Misc	`conf`	Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution. AMIA Jeremy C. Weiss, Finn Kuusisto, Kendrick Boyd, Jie Liu, David Page
2014	Misc	`conf`	Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction. AMIA Yirong Wu, Jie Liu, David Page, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside
2014	A	`conf`	Learning Heterogeneous Hidden Markov Random Fields. AISTATS Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page
2014	A*	`conf`	Multiple Testing under Dependence via Semiparametric Graphical Models. ICML Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page
2013	—	`conf`	Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models. NIPS Jie Liu, David Page
2013	Misc	`conf`	Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms. AMIA Jie Liu, David Page, Houssam Nassif, Jude W. Shavlik, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside
2012	—	`conf`	A collective ranking method for genome-wide association studies. BCB Jie Liu, Elizabeth S. Burnside, Humberto J. Vidaillet, David Page
2012	J	`jnl`	Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies CoRR Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
2012	A	`conf`	Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies. UAI Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page
2012	A	`conf`	High-Dimensional Structured Feature Screening Using Binary Markov Random Fields. AISTATS Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page