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ORCIDJie Liu 0006
Person information
- affiliation: University of Washington, Seattle, WA, USA
- affiliation (former): University of Wisconsin-Madison, WI, USA
Other persons with the same name
- Jie Liu — disambiguation page
- Jie Liu 0001
![[0000-0001-6209-6886]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6209-6886")
— Harbin Institute of Technology, AI Research Institute, Harbin, China (and 3 more) - Jie Liu 0002 — National University of Defense Technology, Changsha, China
- Jie Liu 0003 — National University of Singapore, Singapore
- Jie Liu 0004 — Fourth Military Medical University, Tangdu Hospital, Xi'an, China (and 1 more)
- Jie Liu 0005 — University of Paris-Saclay, CentraleSupélec, Chatenay-Malabry, France
- Jie Liu 0007 — Nankai University, Tianjin, China
- Jie Liu 0008 — State Key Laboratory of Computer Science, Beijing, China (and 2 more)
- Jie Liu 0009 — Xi'an University of Science and Technology, College of Science, Xi'an, China (and 1 more)
- Jie Liu 0010 — Huazhong Agriculture University, Wuhan, China
- Jie Liu 0011 — Naval Aeronautical and Astronautical University, Yantai, China
- Jie Liu 0012 — North China University of Technology, Inverter Technologies Engineering Research Center of Beijing, China
- Jie Liu 0013 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China (and 1 more)
- Jie Liu 0014 — Jilin University, College of Computer Science and Technology / MOE Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
- Jie Liu 0015 — Northwestern Polytechnical University, School of Aeronautics, Xi'an, China (and 4 more)
- Jie Liu 0016 — China University of Petroleum, College of Computer and Communication Engineering, Qingdao, China
- Jie Liu 0017 — Huazhong University of Science and Technology, School of Hydropower and Information Engineering, Wuhan, China (and 1 more)
- Jie Liu 0018 — University of Notre Dame, Department of Electrical Engineering, Notre Dame, IN, USA
- Jie Liu 0019 — Baicheng Ordnance Test Center of China, Department of Tes, Baicheng, China
- Jie Liu 0020 — University of New South Wales, Sydney, Australia
- Jie Liu 0022 — Capital Normal University, Department of Information Engineering, Beijing, China
- Jie Liu 0023 — Railway Engineering Research Institute, China Academic of Railway Science Corporation Ltd., Beijing, China
- Jie Liu 0024 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Jie Liu 0025 — Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China
- Jie Liu 0026 — Western Oregon University, Computer Science Division, Monmouth, OR, USA (and 1 more)
- Jie Liu 0027 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Jie Liu 0028 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Jie Liu 0029 — Chinese Academy of Sciences, Institute of Software, Beijing, China
- Jie Liu 0030 — National Huaqiao University, College of Computer Science and Technology, Xiamen, China
- Jie Liu 0031 — Xi'an University of Technology, School of Printing Packaging and Digital Media, Xi'an, China (and 1 more)
- Jie Liu 0032 — Chinese Academy of Sciences, Institute of Modern Physics, Lanzhou, China
- Jie Liu 0033 — Shandong University of Science and Technology, College of Electrical Engineering and Automation, Qingdao, China
- Jie Liu 0034 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- Jie Liu 0035 — Peking University, National Engineering Laboratory for Video Technology, Beijing, China
- Jie Liu 0036 — Lehigh University, Department of Industrial and Systems Engineering, Bethlehem, PA, USA
- Jie Liu 0037 — Nanjing ChangFeng Aerospace Electronic Technology Co., Nanjing, China (and 1 more)
- Jie Liu 0038 — Harbin Institute of Technology, School of Computer Science and Technology, Weihai, China
- Jie Liu 0039 — Shenyang Normal University, Software College, China
- Jie Liu 0040 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Jie Liu 0041 — Dalian Medical University, Second Hospital, Department of Anesthesiology, China
- Jie Liu 0042 — Xidian University, School of Electronic Engineering, China
- Jie Liu 0043 — University of Amsterdam, The Netherlands
- Jie Liu 0044 — City University of Hong Kong, Department of Electrical Engineering, Hong Kong
- Jie Liu 0045 — University of Michigan, Department of Computational Medicine and Bioinformatics, Electrical Engineering and Computer Science, MI, USA (and 1 more)
- Jie Liu 0046 — Monash University, Australia
- Jie Liu 0047 — Chinese University of Hong Kong, CUHK, MMLab, Hong Kong (and 1 more)
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Journal Articles
- 2016
[j1]Jun Fan, Yirong Wu, Ming Yuan, David Page, Jie Liu, Irene M. Ong, Peggy L. Peissig, Elizabeth S. Burnside:
Structure-Leveraged Methods in Breast Cancer Risk Prediction. J. Mach. Learn. Res. 17: 85:1-85:15 (2016)
Conference and Workshop Papers
- 2018
- [c12]Shara Feld, Kaitlin M. Woo, Roxana Alexandridis, Yirong Wu, Jie Liu, Peggy L. Peissig, Adedayo A. Onitilo, Jennifer Cox, David Page, Elizabeth S. Burnside:
Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants. AMIA 2018 - [c11]Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page:
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. UAI 2018: 156-166 - 2016
- [c10]Yirong Wu, Craig K. Abbey, Jie Liu, Irene M. Ong, Peggy L. Peissig, Adedayo A. Onitilo, Jun Fan, Ming Yuan, Elizabeth S. Burnside:
Discriminatory power of common genetic variants in personalized breast cancer diagnosis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 978706 - 2015
- [c9]Jeremy C. Weiss, Finn Kuusisto, Kendrick Boyd, Jie Liu, David Page:
Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution. AMIA 2015 - 2014
- [c8]Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page:
Learning Heterogeneous Hidden Markov Random Fields. AISTATS 2014: 576-584 - [c7]Yirong Wu, Jie Liu, David Page, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside:
Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction. AMIA 2014 - [c6]Jie Liu, Chunming Zhang, Elizabeth S. Burnside, David Page:
Multiple Testing under Dependence via Semiparametric Graphical Models. ICML 2014: 955-963 - 2013
- [c5]Jie Liu, David Page, Houssam Nassif, Jude W. Shavlik, Peggy L. Peissig, Catherine A. McCarty, Adedayo A. Onitilo, Elizabeth S. Burnside:
Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms. AMIA 2013 - [c4]Jie Liu, David Page:
Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models. NIPS 2013: 1232-1240 - 2012
- [c3]Jie Liu, Elizabeth S. Burnside, Humberto J. Vidaillet, David Page:
A collective ranking method for genome-wide association studies. BCB 2012: 313-320 - [c2]Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page:
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies. UAI 2012: 511-522 - [c1]Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page:
High-Dimensional Structured Feature Screening Using Binary Markov Random Fields. AISTATS 2012: 712-721
Informal and Other Publications
- 2020
- [i2]Sinong Geng, Zhaobin Kuang, Jie Liu, Stephen J. Wright, David Page:
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. CoRR abs/2005.06083 (2020) - 2012
- [i1]Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, David Page:
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies. CoRR abs/1210.4868 (2012)
Coauthor Index
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