| Visual exploration of latent space for traditional Chinese music J Shen, R Wang, HW Shen Visual Informatics 4 (2), 99-108, 2020 | 33 | 2020 |
| Idlat: An importance-driven latent generation method for scientific data J Shen, H Li, J Xu, A Biswas, HW Shen IEEE transactions on visualization and computer graphics 29 (1), 679-689, 2022 | 9 | 2022 |
| Psrflow: Probabilistic super resolution with flow-based models for scientific data J Shen, HW Shen IEEE Transactions on Visualization and Computer Graphics 30 (1), 986-996, 2023 | 4 | 2023 |
| An Information-theoretic visual analysis framework for convolutional neural networks J Shen, HW Shen arXiv preprint arXiv:2005.02186, 2020 | 2 | 2020 |
| Surroflow: A flow-based surrogate model for parameter space exploration and uncertainty quantification J Shen, Y Duan, HW Shen IEEE Transactions on Visualization and Computer Graphics, 2024 | 1 | 2024 |
| Scientific Data Representation, Reconstruction, and Inference using Machine Learning J Shen The Ohio State University, 2024 | | 2024 |
Han-Wei ShenProgram Director, NSF IIS/HCC; EIC, IEEE TVCG; Professor, The Ohio State UniversityCorreu electrònic verificat a osu.edu