| InSituNet: Deep image synthesis for parameter space exploration of ensemble simulations W He, J Wang, H Guo, KC Wang, HW Shen, M Raj, YSG Nashed, ... IEEE transactions on visualization and computer graphics 26 (1), 23-33, 2019 | 89 | 2019 |
| Finite-time Lyapunov exponents and Lagrangian coherent structures in uncertain unsteady flows H Guo, W He, T Peterka, HW Shen, SM Collis, JJ Helmus IEEE transactions on visualization and computer graphics 22 (6), 1672-1682, 2016 | 47 | 2016 |
| An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity A Biswas, D Thompson, W He, Q Deng, CM Chen, HW Shenk, ... 2015 IEEE pacific visualization symposium (PacificVis), 223-230, 2015 | 28 | 2015 |
| Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects W He, L Zou, AK Shekar, L Gou, L Ren IEEE Transactions on Visualization and Computer Graphics 28 (1), 1040-1050, 2021 | 26 | 2021 |
| DynamicsExplorer: Visual analytics for robot control tasks involving dynamics and LSTM-based control policies W He, TY Lee, J van Baar, K Wittenburg, HW Shen 2020 IEEE Pacific Visualization Symposium (PacificVis), 36-45, 2020 | 20 | 2020 |
| Clip-s4: Language-guided self-supervised semantic segmentation W He, S Jamonnak, L Gou, L Ren Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
| Visual concept programming: A visual analytics approach to injecting human intelligence at scale MN Hoque, W He, AK Shekar, L Gou, L Ren IEEE Transactions on Visualization and Computer Graphics 29 (1), 74-83, 2022 | 17 | 2022 |
| Extreme-scale stochastic particle tracing for uncertain unsteady flow visualization and analysis H Guo, W He, S Seo, HW Shen, EM Constantinescu, C Liu, T Peterka IEEE transactions on visualization and computer graphics 25 (9), 2710-2724, 2018 | 17* | 2018 |
| CECAV-DNN: Collective ensemble comparison and visualization using deep neural networks W He, J Wang, H Guo, HW Shen, T Peterka Visual Informatics 4 (2), 109-121, 2020 | 14 | 2020 |
| FTK: A simplicial spacetime meshing framework for robust and scalable feature tracking H Guo, D Lenz, J Xu, X Liang, W He, IR Grindeanu, HW Shen, T Peterka, ... IEEE transactions on visualization and computer graphics 27 (8), 3463-3480, 2021 | 13* | 2021 |
| eFESTA: Ensemble Feature Exploration with Surface Density Estimates W He, H Guo, HW Shen, T Peterka IEEE transactions on visualization and computer graphics 26 (4), 1716-1731, 2018 | 12 | 2018 |
| Range likelihood tree: A compact and effective representation for visual exploration of uncertain data sets W He, X Liu, HW Shen, SM Collis, JJ Helmus 2017 IEEE Pacific Visualization Symposium (PacificVis), 151-160, 2017 | 9 | 2017 |
| A bayesian approach for probabilistic streamline computation in uncertain flows W He, CM Chen, X Liu, HW Shen 2016 IEEE Pacific Visualization Symposium (PacificVis), 214-218, 2016 | 8 | 2016 |
| Self-supervised semantic segmentation grounded in visual concepts W He, W Surmeier, AK Shekar, L Gou, L Ren arXiv preprint arXiv:2203.13868, 2022 | 7 | 2022 |
| USEVis: Visual analytics of attention-based neural embedding in information retrieval X Ji, Y Tu, W He, J Wang, HW Shen, PY Yen Visual Informatics 5 (2), 1-12, 2021 | 7 | 2021 |
| Geometry-driven detection, tracking and visual analysis of viscous and gravitational fingers J Xu, S Dutta, W He, J Moortgat, HW Shen IEEE Transactions on Visualization and Computer Graphics 28 (3), 1514-1528, 2020 | 5 | 2020 |
| Hyp-ow: Exploiting hierarchical structure learning with hyperbolic distance enhances open world object detection T Doan, X Li, S Behpour, W He, L Gou, L Ren Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 1555-1563, 2024 | 4 | 2024 |
| Visual Analytics System to Assess, Understand, and Improve Deep Neural Networks L Gou, L Zou, W He, L Ren US Patent App. 17/186,392, 2022 | 3 | 2022 |
| Parallel Partial Reduction for Large-Scale Data Analysis and Visualization W He, H Guo, T Peterka, S Di, F Cappello, HW Shen 2018 IEEE 8th Symposium on Large Data Analysis and Visualization (LDAV), 45-55, 2018 | 3 | 2018 |
| GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients S Behpour, TL Doan, X Li, W He, L Gou, L Ren Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Han-Wei ShenEditor-in-Chief of IEEE TVCG; Professor of Computer Science and Engineering, Ohio State UniversityPotvrđena adresa e-pošte na osu.edu
