Neng Shi
Ph.D. Student at The Ohio State University
About
I am actively looking for full-time and intern opportunities staring from the Summer of 2024. Feel free to reach out to me!
I am Neng Shi (施能), a Ph.D. student in the Department of Computer Science and Engineering at The Ohio State University. I am part of the GRAphics and VIsualization sTudY (GRAVITY) research group led by my advisor, Prof. Han-Wei Shen. Before joining The Ohio State University, I received my B.S. degree in Geographical Information Science from Zhejiang University in 2018.
Research Interests
Broadly speaking, my research interests include data analysis and visualization, computer graphics, machine learning, and high-performance computing. Specifically, my research mainly focuses on large-scale scientific data visualization and ensemble simulation data visualization with neural networks.
Current Research Projects
Machine learning for data analysis and visualization
Work Experience
The Ohio State University
Research Assistant
Aug 2020 – Present Advisor: Prof. Han-Wei Shen
Exploration and visualization of ensemble datasets with deep learning
Visiting Scholar
Nov 2018 – May 2019 Advisor: Prof. Han-Wei Shen
Argonne National Laboratory
Summer Research Assistant Intern
May 2022 – Aug 2022 Mentor: Dr. Hanqi Guo
Worked on surrogate models for mining teleconnections in climate systems
Los Alamos National Laboratory
Summer Research Assistant Intern
July 2020 – Aug 2020 Mentor: Dr. Jonathan Woodring
Worked on deep surrogate models to approximate ocean simulation functions, helping simulation parameter space exploration
Jiuzhang Algorithm
Teaching Assistant
July 2018 – Sept 2019
TA for algorithm and artificial intelligence
State Key Lab of CAD&CG
Undergraduate Research Assistant
Mar 2017 – Nov 2018 Advisor: Dr. Yubo Tao
Working on viewpoint estimation for volume visualization with convolutional neural networks
Publications
Neng Shi, Jiayi Xu, Haoyu Li, Hanqi Guo, Jonathan Woodring, and Han-Wei Shen
VDL-Surrogate: A View-Dependent Latent-based Model for Parameter Space Exploration of Ensemble Simulations
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2022), 229(1), 820-830, 2023. Best Paper Honorable Mention
| DOI | arXiv | GitHub | Video | Presentation |Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke Van Roekel, and Han-Wei Shen
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 (Proc. IEEE PacificVis 2022, Acceptance Rate: 5/75=6.67%), 28(6), 2301-2313, 2022.
| DOI | arXiv | GitHub | Presentation |Neng Shi and Yubo Tao
CNNs based Viewpoint Estimation for Volume Visualization
ACM Transactions on Intelligent Systems and Technology (TIST), 10(3), 1-22, 2019.
| DOI | arXiv |
Services
Reviewer
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 (2)
IEEE Pacific Visualization Symposium (PacificVis), 2023
IEEE Visualization and Visual Analytics (VIS), 2022, 2023 (2)
China Visualization and Visual Analytics Conference (ChinaVis), 2023
Graphical Models, 2022