Jonathan Zhang

According to our database, Jonathan Zhang authored at least 9 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning.

Haoming Li, Zhaoliang Chen, Jonathan Zhang, Fei Liu

CoRR, 2024

2023

The Landscape of Computer Science Education Courses: A Syllabi Analysis.

Kathryn Cunningham, Miranda C. Parker, Jonathan Zhang

Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, 2023

2021

Selection-Bias-Corrected Visualization via Dynamic Reweighting.

David Borland, Jonathan Zhang, Smiti Kaul, David Gotz

IEEE Trans. Vis. Comput. Graph., 2021

Classification of Diabetic Retinopathy Severity in Fundus Images with DenseNet121 and ResNet50.

Jonathan Zhang, Bowen Xie, Xin Wu, Rahul Ram, David Liang

CoRR, 2021

2020

Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation.

David Gotz, Jonathan Zhang, Wenyuan Wang, Joshua Shrestha, David Borland

IEEE Trans. Vis. Comput. Graph., 2020

Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data.

David Borland, Wenyuan Wang, Jonathan Zhang, Joshua Shrestha, David Gotz

IEEE Trans. Vis. Comput. Graph., 2020

Visual Analytics to Combat Selection Bias in Retrospective EHR Data Analyses.

David Gotz, Jonathan Zhang, Smiti Kaul, Georgiy Bobashev, David Borland

Proceedings of the AMIA 2020, 2020

2019

Dynamic Hierarchical Aggregation, Selection Bias Tracking, and Detailed Subset Comparison for High-Dimensional Event Sequence Data.

Jonathan Zhang, David Borland, Wenyuan Wang, Joshua Shrestha, David Gotz

Proceedings of the 2019 IEEE Workshop on Visual Analytics in Healthcare, 2019

2014

Prinsimp.

Jonathan Zhang, Nancy E. Heckman, Davor Cubranic, Joel G. Kingsolver, Travis Gaydos, J. S. Marron

R J., 2014