Jing Li

42 papers A* 4C 1Journal 31Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Cross-Modal Mutual Knowledge Distillation Framework for Alzheimer's Disease Diagnosis: Addressing Incomplete Modalities.
IEEE Trans Autom. Sci. Eng.
Mingu Kwak, Lingchao Mao, Zhiyang Zheng, Yi Su, Fleming Lure, Jing Li
2025 J jnl
A Novel Hybrid Ordinal Learning Model With Health Care Application.
IEEE Trans Autom. Sci. Eng.
Lujia Wang, Hairong Wang, Yi Su, Fleming Lure, Jing Li
2025 J jnl
Graph-Based Variation Propagation Network for Modeling and Prediction of Hybrid Multi-Stage Manufacturing Systems.
IEEE Trans Autom. Sci. Eng.
Dhari F. Alenezi, Jianjun Shi, Jing Li
2025 J jnl
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A Review.
IEEE Trans Autom. Sci. Eng.
Lingchao Mao, Hairong Wang, Leland S. Hu, Nhan L. Tran, Peter D. Canoll, Kristin R. Swanson, Jing Li
2025 J jnl
Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion Detection.
IEEE Trans Autom. Sci. Eng.
Yeonju Lee, Mingu Kwak, Rui Qi Chen, Hao Yan, Muralidhar Mupparapu, Fleming Lure, Frank C. Setzer, Jing Li
2025 J jnl
Physics-Informed Weakly-Supervised Learning for Quality Prediction of Manufacturing Processes.
IEEE Trans Autom. Sci. Eng.
Dhari F. Alenezi, Michael Biehler, Jianjun Shi, Jing Li
2024 J jnl
A Novel Semi-Supervised Learning Model for Smartphone-Based Health Telemonitoring.
IEEE Trans Autom. Sci. Eng.
Nathan Gaw, Jing Li, Hyunsoo Yoon
2024 J jnl
Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma.
npj Digit. Medicine
Hairong Wang, Michael G. Argenziano, Hyunsoo Yoon, Deborah Boyett, Akshay Save, Petros Petridis, William Savage, Pamela R. Jackson, Andrea Hawkins-Daarud, Nhan L. Tran, Leland S. Hu, Kyle W. Singleton, Lisa E. Paulson, Osama Al Dalahmah, Jeffrey N. Bruce, Jack Grinband, Kristin R. Swanson, Peter D. Canoll, Jing Li
2024 J jnl
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review.
CoRR
Lingchao Mao, Hairong Wang, Leland S. Hu, Nhan L. Tran, Peter D. Canoll, Kristin R. Swanson, Jing Li
2024 J jnl
PLURAL: 3D Point Cloud Transfer Learning via Contrastive Learning With Augmentations.
IEEE Trans Autom. Sci. Eng.
Michael Biehler, Yiqi Sun, Shriyanshu Kode, Jing Li, Jianjun Shi
2024 J jnl
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.
CoRR
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
2024 J jnl
Supervised Multi-Modal Fission Learning.
CoRR
Lingchao Mao, Qi Wang, Yi Su, Fleming Lure, Jing Li
2024 J jnl
Weakly-Supervised Transfer Learning With Application in Precision Medicine.
IEEE Trans Autom. Sci. Eng.
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
2023 J jnl
A Novel Hybrid Ordinal Learning Model with Health Care Application.
CoRR
Lujia Wang, Hairong Wang, Yi Su, Fleming Lure, Jing Li
2022 — conf
Addressing imaging accessibility by cross-modality transfer learning.
Computer-Aided Diagnosis
Zhiyang Zheng, Yi Su, Kewei Chen, David Weidman, Teresa Wu, Ben Lo, Fleming Lure, Jing Li
2022 — conf
Early prediction of the Alzheimer's disease risk using Tau-PET and machine learning.
Computer-Aided Diagnosis
Lujia Wang, Zhiyang Zheng, Yi Su, Kewei Chen, David Weidman, Teresa Wu, Ben Lo, Fleming Lure, Jing Li
2022 J jnl
Knowledge-Infused Global-Local Data Fusion for Spatial Predictive Modeling in Precision Medicine.
IEEE Trans Autom. Sci. Eng.
Lujia Wang, Andrea Hawkins-Daarud, Kristin R. Swanson, Leland S. Hu, Jing Li
2021 J jnl
A novel transfer learning model for predictive analytics using incomplete multimodality data.
IISE Trans.
Xiaonan Liu, Kewei Chen, David Weidman, Teresa Wu, Fleming Lure, Jing Li
2021 J jnl
Anatomically Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection.
IEEE Trans Autom. Sci. Eng.
Zhiyang Zheng, Hao Yan, Frank C. Setzer, Katherine J. Shi, Mel Mupparapu, Jing Li
2021 A* conf
Combining Anatomical Constraints and Deep learning for 3-D CBCT Dental Image Multi-label Segmentation.
ICDE
Jiayu Huang, Hao Yan, Jing Li, H. Milton Stewart, Frank C. Setzer
2019 J jnl
A Novel Positive Transfer Learning Approach for Telemonitoring of Parkinson's Disease.
IEEE Trans Autom. Sci. Eng.
Hyunsoo Yoon, Jing Li
2018 J jnl
A Data Adaptive Biological Sequence Representation for Supervised Learning.
J. Heal. Informatics Res.
Hande Cakin, Berk Görgülü, Mustafa Gökçe Baydogan, Na Zou, Jing Li
2018 — conf
ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data.
Computer-Aided Diagnosis
Xiaonan Liu, Kewei Chen, Teresa Wu, David Weidman, Fleming Lure, Jing Li
2018 J jnl
SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis.
Comput. Medical Imaging Graph.
Fei Gao, Teresa Wu, Jing Li, Bin Zheng, Lingxiang Ruan, Desheng Shang, Bhavika Patel
2018 J jnl
SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis.
CoRR
Fei Gao, Teresa Wu, Jing Li, Bin Zheng, Lingxiang Ruan, Desheng Shang, Bhavika Patel
2017 — conf
Diagnosis on Mild Cognitive Impairment Patients for Alzheimer Disease with Missing Data.
ICHI
Fei Gao, Jing Li, Teresa Wu, Kewei Chen, Fleming Lure, David Weidman
2015 J jnl
A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems.
Technometrics
Na Zou, Yun Zhu, Ji Zhu, Mustafa Gökçe Baydogan, Wei Wang, Jing Li
2014 J jnl
Bayesian modeling of multi-state hierarchical systems with multi-level information aggregation.
Reliab. Eng. Syst. Saf.
Mingyang Li, Jian Liu, Jing Li, Byoung Uk Kim
2014 J jnl
Healthcare Intelligence: Turning Data into Knowledge.
IEEE Intell. Syst.
Hui Yang, O. Erhun Kundakcioglu, Jing Li, Teresa Wu, Joseph Ross Mitchell, Amy K. Hara, William Pavlicek, Leland S. Hu, Alvin C. Silva, Christine M. Zwart, Sait Tunç, Oguzhan Alagöz, Elizabeth S. Burnside, W. Art Chaovalitwongse, Georgiy Presnyakov, Yulian Cao, Sirirat Sujitnapitsatham, Daehan Won, Tara M. Madhyastha, Kurt E. Weaver, Paul R. Borghesani, Thomas J. Grabowski, Lianjie Shu, Man Ho Ling, Shui Yee Wong, Kwok-Leung Tsui
2014 J jnl
Improved reliability-based decision support methodology applicable in system-level failure diagnosis and prognosis.
IEEE Trans. Aerosp. Electron. Syst.
Byoung Uk Kim, Douglas Goodman, Mingyang Li, Jian Liu, Jing Li
2014 J jnl
Pilot Study: Evaluation of Dual-Energy Computed Tomography Measurement Strategies for Positron Emission Tomography Correlation in Pancreatic Adenocarcinoma.
J. Digit. Imaging
Jorge Oldan, Miao He, Teresa Wu, Alvin C. Silva, Jing Li, Joseph Ross Mitchell, William Pavlicek, Michael C. Roarke, Amy K. Hara
2013 J jnl
A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman
2011 C conf
Bayesian reliability modeling of multi-level system with interdependent subsystems and components.
ISI
Jian Liu, Jing Li, Byoung Uk Kim
2011 A* conf
Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network.
KDD
Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman
2011 — conf
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis.
NIPS
Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman
2011 J jnl
Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease.
Computer
Jieping Ye, Teresa Wu, Jing Li, Kewei Chen
2010 J jnl
A Graphical Technique and Penalized Likelihood Method for Identifying and Estimating Infant Failures.
IEEE Trans. Reliab.
Shuai Huang, Rong Pan, Jing Li
2010 J jnl
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation.
NeuroImage
Shuai Huang, Jing Li, Liang Sun, Jieping Ye, Adam Fleisher, Teresa Wu, Kewei Chen, Eric Reiman
2009 — conf
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data.
NIPS
Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye
2009 A* conf
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation.
KDD
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye
2008 A* conf
Heterogeneous data fusion for alzheimer's disease study.
KDD
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene E. Alexander, Eric Reiman
2008 J jnl
Modeling and analysis of disease and risk factors through learning Bayesian networks from observational data.
Qual. Reliab. Eng. Int.
Jing Li, Jianjun Shi, Devin Satz