Jing Li
Orcid: 0000-0001-7028-3681Affiliations:
- 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 35 papers
between 2008 and 2024.
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Bibliography
2024
IEEE Trans Autom. Sci. Eng., October, 2024
PLURAL: 3D Point Cloud Transfer Learning via Contrastive Learning With Augmentations.
IEEE Trans Autom. Sci. Eng., October, 2024
IEEE Trans Autom. Sci. Eng., January, 2024
Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma.
npj Digit. Medicine, 2024
CoRR, 2024
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.
CoRR, 2024
2023
2022
Knowledge-Infused Global-Local Data Fusion for Spatial Predictive Modeling in Precision Medicine.
IEEE Trans Autom. Sci. Eng., 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 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
J. Heal. Informatics Res., 2018
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
2013
A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
2011
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
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
Modeling and analysis of disease and risk factors through learning Bayesian networks from observational data.
Qual. Reliab. Eng. Int., 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008