Design-centric maze generation. - Paul Hyunjin Kim; Jacob Grove; Skylar W. Wurster; Roger Crawfis (FDG, 2019)

Human Gist Processing Augments Deep Learning Breast Cancer Risk Assessment. - Skylar W. Wurster; Arkadiusz Sitek; Jian Chen 006; Karla K. Evans; Gaeun Kim; Jeremy M. Wolfe (CoRR, 2019)

Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization. - Skylar W. Wurster; Han-Wei Shen; Hanqi Guo 001; Thomas Peterka; Mukund Raj; Jiayi Xu 001 (CoRR, 2021)

GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations. - Neng Shi; Jiayi Xu 001; Skylar W. Wurster; Hanqi Guo 001; Jonathan Woodring; Luke P. Van Roekel; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2022)

Neural Stream Functions. - Skylar W. Wurster; Hanqi Guo 001; Tom Peterka; Han-Wei Shen (PacificVis, 2023)

Reinforcement Learning for Load-Balanced Parallel Particle Tracing. - Jiayi Xu 001; Hanqi Guo 001; Han-Wei Shen; Mukund Raj; Skylar W. Wurster; Tom Peterka (IEEE Trans. Vis. Comput. Graph., 2023)

Deep Hierarchical Super Resolution for Scientific Data. - Skylar W. Wurster; Hanqi Guo 001; Han-Wei Shen; Tom Peterka; Jiayi Xu 001 (IEEE Trans. Vis. Comput. Graph., 2023)

Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization. - Skylar W. Wurster; Tianyu Xiong; Han-Wei Shen; Hanqi Guo 001; Tom Peterka (IEEE Trans. Vis. Comput. Graph., 2024)

AMGSRN++: Improved Adaptive SRN for Scientific Visualization. - Skylar W. Wurster; Han-Wei Shen (PacificVis, 2025)

Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network. - Tianyu Xiong; Skylar W. Wurster; Hanqi Guo 001; Tom Peterka; Han-Wei Shen (IEEE Trans. Vis. Comput. Graph., 2025)