Lujia Wang

According to our database, Lujia Wang authored at least 10 papers between 2015 and 2024.

Collaborative distances:

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

2024

Weakly-Supervised Transfer Learning With Application in Precision Medicine.

Lingchao Mao, Lujia Wang, Leland S. Hu, Jenny M. Eschbacher, Gustavo De Leon, Kyle W. Singleton, Lee Curtin, Javier Urcuyo, Christopher P. Sereduk, Nhan L. Tran, Andrea Hawkins-Daarud, Kristin R. Swanson, Jing Li

IEEE Trans Autom. Sci. Eng., October, 2024

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.

Lujia Wang, Hairong Wang, Fulvio D'Angelo, Lee Curtin, Christopher P. Sereduk, Gustavo De Leon, Kyle W. Singleton, Javier Urcuyo, Andrea Hawkins-Daarud, Pamela R. Jackson, Chandan Krishna, Richard S. Zimmerman, Devi P. Patra, Bernard R. Bendok, Kris A. Smith, Peter Nakaji, Kliment Donev, Leslie C. Baxter, Maciej M. Mrugala, Michele Ceccarelli, Antonio Iavarone, Kristin R. Swanson, Nhan L. Tran, Leland S. Hu, Jing Li

CoRR, 2024

2023

A Novel Hybrid Ordinal Learning Model with Health Care Application.

Lujia Wang, Hairong Wang, Yi Su, Fleming Lure, Jing Li

CoRR, 2023

2022

Uncertainty Mitigation in Image-based Machine Learning Models for Precision Medicine.

Lujia Wang

PhD thesis, 2022

Knowledge-Infused Global-Local Data Fusion for Spatial Predictive Modeling in Precision Medicine.

Lujia Wang, Andrea Hawkins-Daarud, Kristin R. Swanson, Leland S. Hu, Jing Li

IEEE Trans Autom. Sci. Eng., 2022

Early prediction of the Alzheimer's disease risk using Tau-PET and machine learning.

Lujia Wang, Zhiyang Zheng, Yi Su, Kewei Chen, David Weidman, Teresa Wu, Ben Lo, Fleming Lure, Jing Li

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2019

Statistical inference for <i>M_t</i>/<i>G</i>/<i>Infinity</i> queueing systems under incomplete observations.

Dongmin Li, Qingpei Hu, Lujia Wang, Dan Yu

Eur. J. Oper. Res., 2019

2016

A general modeling and analysis framework for software fault detection and correction process.

Yu Liu, Duo Li, Lujia Wang, Qingpei Hu

Softw. Test. Verification Reliab., 2016

2015

Bayesian Analysis for Software Reliability with Fault Detection and Correction Data.

Lujia Wang, Qingpei Hu, Min Xie

Proceedings of the 21st IEEE Pacific Rim International Symposium on Dependable Computing, 2015

Bayesian analysis for NHPP-based software fault detection and correction processes.

Lujia Wang, Qingpei Hu, Min Xie

Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015