Prinsimp. - Jonathan Zhang; Nancy E. Heckman; Davor Cubranic; Joel G. Kingsolver; Travis Gaydos; J. S. Marron (R J., 2014)

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 (VAHC, 2019)

Visual Analytics to Combat Selection Bias in Retrospective EHR Data Analyses. - David Gotz; Jonathan Zhang; Smiti Kaul; Georgiy Bobashev; David Borland (AMIA, 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 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)

Classification of Diabetic Retinopathy Severity in Fundus Images with DenseNet121 and ResNet50. - Jonathan Zhang; Bowen Xie; Xin Wu; Rahul Ram; David Liang (CoRR, 2021)

Selection-Bias-Corrected Visualization via Dynamic Reweighting. - David Borland; Jonathan Zhang; Smiti Kaul; David Gotz (IEEE Trans. Vis. Comput. Graph., 2021)

The Landscape of Computer Science Education Courses: A Syllabi Analysis. - Kathryn I. Cunningham; Miranda C. Parker; Jonathan Zhang (Koli Calling, 2023)

LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning. - Haoming Li 019; Zhaoliang Chen; Jonathan Zhang; Fei Liu 004 (CoRR, 2024)

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities. - Haoming Li 019; Zhaoliang Chen; Jonathan Zhang; Fei Liu 004 (CoRR, 2025)