Jing Zhang

Orcid: 0000-0002-5600-9202

Affiliations:
  • Georgia State University, Department of Mathematics and Statistics, Atlanta, GA, USA (since 2014)
  • Yale University, Department of Statistics, New Haven, CT, USA (until 2014)


According to our database1, Jing Zhang authored at least 25 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of 3-hinge Gyrus.
CoRR, 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.
CoRR, 2024

GP-GPT: Large Language Model for Gene-Phenotype Mapping.
CoRR, 2024

Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding.
CoRR, 2024

Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2019
Bayesian analysis of complex mutations in HBV, HCV, and HIV studies.
Big Data Min. Anal., 2019

Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018
Probabilistic Methods in Computational Neuroscience.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

An Optimized Method for Bayesian Connectivity Change Point Model.
J. Comput. Biol., 2018

2017
Searching Genome-Wide Multi-Locus Associations for Multiple Diseases Based on Bayesian Inference.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Detecting Change Points in fMRI Data via Bayesian Inference and Genetic Algorithm Model.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

2016
Bayesian Inference for Functional Dynamics Exploring in fMRI Data.
Comput. Math. Methods Medicine, 2016

2015
Sparse representation of whole-brain fMRI signals for identification of functional networks.
Medical Image Anal., 2015

DAM: A Bayesian Method for Detecting Genome-wide Associations on Multiple Diseases.
Proceedings of the Bioinformatics Research and Applications - 11th International Symposium, 2015

Dynamic Bayesian brain network partition and connectivity change point detection.
Proceedings of the 5th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2015

2014
Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Dynamic network partition via Bayesian connectivity bi-partition change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Exploring functional brain dynamics via a Bayesian connectivity change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Generalized fMRI activation detection via Bayesian magnitude change point model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Detecting and understanding genetic and structural features in HIV-1 B subtype V3 underlying HIV-1 co-receptor usage.
Bioinform., 2013

2012
Inferring consistent functional interaction patterns from natural stimulus FMRI data.
NeuroImage, 2012

Neighborhood preserving ordinal regression.
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service, 2012

2005
htSNPer1.0: software for haplotype block partition and htSNPs selection.
BMC Bioinform., 2005

MicroRNA identification based on sequence and structure alignment.
Bioinform., 2005


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