Jonathan Zhang

16 papers Misc 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
DYCP: Dynamic Context Pruning for Long-Form Dialogue with LLMs.
CoRR
Nayoung Choi, Jonathan Zhang, Jinho D. Choi
2025 J jnl
Nonlinear elasticity with the discontinuous Petrov-Galerkin method: I. Various variational formulations.
Comput. Math. Appl.
Jonathan Zhang, Leszek F. Demkowicz
2025 J jnl
PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities.
CoRR
Haoming Li, Zhaoliang Chen, Jonathan Zhang, Fei Liu
2025 J jnl
Reasoning Relay: Evaluating Stability and Interchangeability of Large Language Models in Mathematical Reasoning.
CoRR
Leo Lu, Jonathan Zhang, Sean Chua, Spencer Kim, Kevin Zhu, Sean O'Brien, Vasu Sharma
2024 J jnl
LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning.
CoRR
Haoming Li, Zhaoliang Chen, Jonathan Zhang, Fei Liu
2023 — conf
The Landscape of Computer Science Education Courses: A Syllabi Analysis.
Koli Calling
Kathryn I. Cunningham, Miranda C. Parker, Jonathan Zhang
2021 J jnl
Classification of Diabetic Retinopathy Severity in Fundus Images with DenseNet121 and ResNet50.
CoRR
Jonathan Zhang, Bowen Xie, Xin Wu, Rahul Ram, David Liang
2021 J jnl
Selection-Bias-Corrected Visualization via Dynamic Reweighting.
IEEE Trans. Vis. Comput. Graph.
David Borland, Jonathan Zhang, Smiti Kaul, David Gotz
2020 J jnl
Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data.
IEEE Trans. Vis. Comput. Graph.
David Borland, Wenyuan Wang, Jonathan Zhang, Joshua Shrestha, David Gotz
2020 J jnl
Selection Bias-Corrected Visualization via Dynamic Reweighting.
CoRR
David Borland, Jonathan Zhang, Smiti Kaul, David Gotz
2020 J jnl
Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation.
IEEE Trans. Vis. Comput. Graph.
David Gotz, Jonathan Zhang, Wenyuan Wang, Joshua Shrestha, David Borland
2020 Misc conf
Visual Analytics to Combat Selection Bias in Retrospective EHR Data Analyses.
AMIA
David Gotz, Jonathan Zhang, Smiti Kaul, Georgiy Bobashev, David Borland
2019 — conf
Dynamic Hierarchical Aggregation, Selection Bias Tracking, and Detailed Subset Comparison for High-Dimensional Event Sequence Data.
VAHC
Jonathan Zhang, David Borland, Wenyuan Wang, Joshua Shrestha, David Gotz
2019 J jnl
Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data.
CoRR
David Borland, Wenyuan Wang, Jonathan Zhang, Joshua Shrestha, David Gotz
2019 J jnl
Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation.
CoRR
David Gotz, Jonathan Zhang, Wenyuan Wang, Joshua Shrestha, David Borland
2014 J jnl
Prinsimp.
R J.
Jonathan Zhang, Nancy E. Heckman, Davor Cubranic, Joel G. Kingsolver, Travis Gaydos, J. S. Marron