Haoyu Li, Ph.D.
Assistant Professor, Department of Information Sciences & Technologies
Email: [email protected]
Phone: (616)-331-2441
Office: MAK D-2-220
Website: https://harviu.github.io/
Education
Ph.D., Computer Science, Ohio State University, 2024
Semester Schedule
Other office hours by appointment only.
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Additional Courses
Asynchronous courses: CIS 367 - 01, CIS 671 - 01, CIS 671 - 02, CIS 695 - 04
Biography
Dr. Haoyu Li is a faculty member in the College of Computing. His research lies at the intersection of scientific visualization and artificial intelligence , which includes using machine learning to handle large data, increase the efficiency of visualization, and using visualization to understand and diagnose machine learning models. Dr. Li has been recognized for his contributions to the field with Best Paper Honorable Mention Awards at IEEE VIS in both 2019 and 2022, highlighting the impact and innovation of his work.
Dr. Li teaches the courses related to structure of programming language, visualization, and computer graphics. He is recently passionate about creating web-based repository and tools for teaching his computer graphics course.
Outside of his research and teaching, Dr. Li enjoys a variety of hobbies including board games, badminton, and bird watching.
Recent Publications
- Y. -T. Chen, H. Li, N. Shi, X. Luo, W. Xu and H. -W. Shen, "Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration," in IEEE Transactions on Visualization and Computer Graphics, vol. 31, no. 6, pp. 3758-3770, June 2025, doi: 10.1109/TVCG.2025.3567052.
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10989540 - Li, H., & Shen, H.-W. (2025). Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation. IEEE Transactions on Visualization and Computer Graphics, 31(2), 1513–1525. https://doi.org/10.1109/TVCG.2024.3365089
- Li, H., Michaud, I. J., Biswas, A., & Shen, H.-W. (2024). Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data. 2024 IEEE 17th Pacific Visualization Conference (PacificVis), 252–261. https://doi.org/10.1109/PacificVis60374.2024.00035
- Li, H., Wang, J., Zheng, Y., Wang, L., Zhang, W., & Shen, H.-W. (2023). Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing. Information Visualization, 22(1), 52–68. https://doi.org/10.1177/14738716221130338
- Shi, N., Xu, J., Li, H., Guo, H., Woodring, J., & Shen, H.-W. (2022). VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations. IEEE Transactions on Visualization and Computer Graphics, 1–11. https://doi.org/10.1109/TVCG.2022.3209413
- Li, H., Xiong, T., & Shen, H.-W. (2022). Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset. 2022 IEEE Visualization and Visual Analytics (VIS), 140–144. https://doi.org/10.1109/VIS54862.2022.00037