Jing Li

Orcid: 0000-0001-7028-3681

Affiliations:
  • Georgia Institute of Technology, GA, USA
  • Arizona State University, Department of Industrial Engineering, Tempe, AZ, USA (former)
  • University of Michigan, Ann Arbor, MI, USA (PhD 2007)


According to our database1, Jing Li authored at least 29 papers between 2008 and 2024.

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Bibliography

2024
A Novel Semi-Supervised Learning Model for Smartphone-Based Health Telemonitoring.
IEEE Trans Autom. Sci. Eng., January, 2024

Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review.
CoRR, 2024

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.
CoRR, 2024

2022
Knowledge-Infused Global-Local Data Fusion for Spatial Predictive Modeling in Precision Medicine.
IEEE Trans Autom. Sci. Eng., 2022

Addressing imaging accessibility by cross-modality transfer learning.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Early prediction of the Alzheimer's disease risk using Tau-PET and machine learning.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
Anatomically Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection.
IEEE Trans Autom. Sci. Eng., 2021

A novel transfer learning model for predictive analytics using incomplete multimodality data.
IISE Trans., 2021

Combining Anatomical Constraints and Deep learning for 3-D CBCT Dental Image Multi-label Segmentation.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019
A Novel Positive Transfer Learning Approach for Telemonitoring of Parkinson's Disease.
IEEE Trans Autom. Sci. Eng., 2019

2018
A Data Adaptive Biological Sequence Representation for Supervised Learning.
J. Heal. Informatics Res., 2018

SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis.
Comput. Medical Imaging Graph., 2018

ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Diagnosis on Mild Cognitive Impairment Patients for Alzheimer Disease with Missing Data.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2015
A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems.
Technometrics, 2015

2014
Improved reliability-based decision support methodology applicable in system-level failure diagnosis and prognosis.
IEEE Trans. Aerosp. Electron. Syst., 2014

Bayesian modeling of multi-state hierarchical systems with multi-level information aggregation.
Reliab. Eng. Syst. Saf., 2014

Pilot Study: Evaluation of Dual-Energy Computed Tomography Measurement Strategies for Positron Emission Tomography Correlation in Pancreatic Adenocarcinoma.
J. Digit. Imaging, 2014

Healthcare Intelligence: Turning Data into Knowledge.
IEEE Intell. Syst., 2014

2013
A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

2011
Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease.
Computer, 2011

Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Bayesian reliability modeling of multi-level system with interdependent subsystems and components.
Proceedings of the 2011 IEEE International Conference on Intelligence and Security Informatics, 2011

2010
A Graphical Technique and Penalized Likelihood Method for Identifying and Estimating Infant Failures.
IEEE Trans. Reliab., 2010

Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation.
NeuroImage, 2010

2009
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
Heterogeneous data fusion for alzheimer's disease study.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008


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