Lujia Wang - H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology

基本信息

Career Trajectory

Bio

Lujia Wang (Member, IEEE) received the B.S. degree in mathematics and applied mathematics from Nankai University, Tianjin, China, in 2013, and the M.S. degree in probability and mathematical statistics from the Chinese Academy of Sciences, Beijing, China, in 2016. She is currently pursuing the Ph.D. degree with the School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA. Her research interests include machine learning and biomedical imaging analytics.

Research Interests

Papers共 26 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

A Novel Hybrid Ordinal Learning Model with Health Care Application

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

IEEE Trans Autom Sci Eng（2025）

Cited1Views0EIWOSBibtex

Early Prediction of Progression to Alzheimer’s Disease Using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacer

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

IISE TRANSACTIONS ON HEALTHCARE SYSTEMS ENGINEERINGno. 2 (2024): 167-177

Cited0Views0WOSBibtex

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 A. Curtin,Javier Urcuyo,Chris Sereduk,Nhan L. Tran,Andrea Hawkins-Daarud,Kristin R. Swanson,Jing Li

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERINGno. 4 (2024): 6250-6264

Cited1Views0EIWOSBibtex

Integrated Molecular and Multiparametric MRI Mapping of High-Grade Glioma Identifies Regional Biologic Signatures

Leland S. Hu,Fulvio D’Angelo,Taylor M. Weiskittel,Francesca P. Caruso,Shannon P. Fortin Ensign,Mylan R. Blomquist, Matthew J. Flick,Lujia Wang,Christopher P. Sereduk,Kevin Meng-Lin,Gustavo De Leon,Ashley Nespodzany,Javier C. Urcuyo, Ashlyn C Gonzales,Lee Curtin,Erika M. Lewis,Kyle W. Singleton,Timothy Dondlinger,Aliya Anil,Natenael B. Semmineh,Teresa Noviello, Reyna A. Patel,Panwen Wang,Junwen Wang,Jennifer M. Eschbacher,Andrea Hawkins-Daarud,Pamela R. Jackson,Itamar S. Grunfeld,Christian Elrod,Gina L. Mazza, Sam C. McGee,Lisa Paulson,Kamala Clark-Swanson,Yvette Lassiter-Morris,Kris A. Smith,Peter Nakaji,Bernard R. Bendok,Richard S. Zimmerman,Chandan Krishna,Devi P. Patra,Naresh P. Patel,Mark Lyons,Matthew Neal,Kliment Donev,Maciej M. Mrugala,Alyx B. Porter,Scott C. Beeman,Todd R. Jensen,Kathleen M. Schmainda,Yuxiang Zhou,Leslie C. Baxter,Christopher L. Plaisier,Jing Li,Hu Li,Anna Lasorella,C. Chad Quarles,Kristin R. Swanson,Michele Ceccarelli,Antonio Iavarone,Nhan L. Tran

Nature Communications（2023）

Cited8Views0WOSNATUREBibtex

Early Prediction of the Alzheimer's Disease Risk Using Tau-PET and Machine Learning

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

Medical Imaging 2022 Computer-Aided Diagnosis (2022)

Cited0Views0EIBibtex

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 TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING（2022）

Cited9Views0WOSEIBibtex

Predicting the Pace of MCI Progression to AD Based on Multi‐modality Neuroimaging Data by a Novel Hybrid Ordinal Learning Algorithm

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

Alzheimer's &amp Dementia（2022）

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Discriminant Subgraph Learning from Functional Brain Sensory Data

Lujia Wang,Todd J. Schwedt,Catherine D. Chong,Teresa Wu,Jing Li

IISE TRANSACTIONSno. 11 (2022): 1084-1097

Cited1Views0WOSBibtex

NIMG-72. QUANTIFYING INTRA-TUMOR MULTI-GENE HETEROGENEITY OF GBM FROM MRI USING A DATA-INCLUSIVE MACHINE LEARNING ALGORITHM

Lujia Wang,Leland Hu,Andrea Hawkins-Daarud,Kyle Singleton,Christopher Sereduk,Nhan Tran,Kristin Swanson,Jing Li

Neuro-oncology（2021）

Cited0Views0Bibtex

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