Skylar Wurster

wurster.18@osu.edu

I am starting my fifth year of my computer science PhD at The Ohio State University. My research focuses on machine learning + computer graphics with special interest in NeRF models and neural representations. I am part of the GRAVITY reserach group advised by Professor Han-Wei Shen.

Publications:

  • S. W. Wurster, T. Xiong, H. -W Shen, H. Guo, T. Peterka. “Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization,” In Proc. IEEE VIS, 2023
  • S. W. Wurster, H. Guo, T. Peterka, H. -W. Shen. "Neural Stream Functions," in Proc IEEE PacificVIS, 2023.
  • S. W. Wurster, H. Guo, H. -W. Shen, T. Peterka and J. Xu, "Deep Hierarchical Super Resolution for Scientific Data," in IEEE Transactions on Visualization and Computer Graphics, 2022. link bibtex
  • Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke P. Van Roekel, and Han-Wei Shen. 2022. GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations. IEEE Transactions on Visualization and Computer Graphics 28, 6 (June 2022), 2301–2313. link bibtex
  • J. Xu, H. Guo, H. -W. Shen, M. Raj, S. W. Wurster and T. Peterka, "Reinforcement Learning for Load-balanced Parallel Particle Tracing," in IEEE Transactions on Visualization and Computer Graphics, doi: 10.1109/TVCG.2022.3148745. link bibtex
  • Bruggeman, K. and Wurster, S. W. 2018. The Hiatus System: virtual healing spaces: low dose mindfulness based stressed reduction virtual reality application. SIGGRAPH ’18 ACM SIGGRAPH 2018 Appy Hour. 8. link bibtex
  • Paul Hyunjin Kim, Jacob Grove, Skylar Wurster, and Roger Crawfis. 2019. Design-centric maze generation. In Proceedings of the 14th International Conference on the Foundations of Digital Games (FDG '19). ACM, New York, NY, USA, Article 83, 1-9. link bibtex

Presentations:

  • PVIS2023 - Neural Stream Functions Link to presentation
  • VIS2019 - Presented on behalf of Junpeng Wang: J. Wang, S. Hazarika, C. Li and H. Shen, "Visualization and Visual Analysis of Ensemble Data: A Survey," in IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 9, pp. 2853-2872, 1 Sept. 2019. Link to presentation
  • VIS2019 - Presented on behalf of Ko-Chih Wang: Wang, Ko-Chih et al. “Ray-Based Exploration of Large Time-Varying Volume Data Using Per-Ray Proxy Distributions.” IEEE transactions on visualization and computer graphics vol. 26,11 (2020): 3299-3313. Link to presentation