| Visualization and visual analysis of ensemble data: A survey J Wang, S Hazarika, C Li, HW Shen IEEE transactions on visualization and computer graphics 25 (9), 2853-2872, 2018 | 128 | 2018 |
| Dqnviz: A visual analytics approach to understand deep q-networks J Wang, L Gou, HW Shen, H Yang IEEE transactions on visualization and computer graphics 25 (1), 288-298, 2018 | 120 | 2018 |
| Multi-resolution climate ensemble parameter analysis with nested parallel coordinates plots J Wang, X Liu, HW Shen, G Lin IEEE transactions on visualization and computer graphics 23 (1), 81-90, 2016 | 95 | 2016 |
| DeepVID: Deep Visual Interpretation and Diagnosis for Image Classifiers via Knowledge Distillation J Wang, L Gou, W Zhang, H Yang, HW Shen IEEE transactions on visualization and computer graphics 25 (6), 2168-2180, 2019 | 93 | 2019 |
| GANViz: A Visual Analytics Approach to Understand the Adversarial Game J Wang, L Gou, H Yang, HW Shen IEEE transactions on visualization and computer graphics 24 (6), 1905-1917, 2018 | 78 | 2018 |
| 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 | 71 | 2019 |
| CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics G Li, J Wang, HW Shen, K Chen, G Shan, Z Lu IEEE Transactions on Visualization and Computer Graphics 27 (2), 1364-1373, 2020 | 32 | 2020 |
| High-dimensional data analysis with subspace comparison using matrix visualization J Wang, X Liu, HW Shen Information Visualization 18 (1), 94-109, 2019 | 15 | 2019 |
| Cache-aware sampling strategies for texture-based ray casting on GPU J Wang, F Yang, Y Cao 2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV), 19-26, 2014 | 14 | 2014 |
| SCANViz: Interpreting the symbol-concept association captured by deep neural networks through visual analytics J Wang, W Zhang, H Yang 2020 IEEE Pacific Visualization Symposium (PacificVis), 51-60, 2020 | 13 | 2020 |
| 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 | 10 | 2020 |
| Merchant category identification using credit card transactions CCM Yeh, Z Zhuang, Y Zheng, L Wang, J Wang, W Zhang 2020 IEEE International Conference on Big Data (Big Data), 1736-1744, 2020 | 7 | 2020 |
| A cache-friendly sampling strategy for texture-based volume rendering on GPU J Wang, F Yang, Y Cao Visual Informatics 1 (2), 92-105, 2017 | 7 | 2017 |
| Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework J Wang, L Wang, Y Zheng, CCM Yeh, S Jain, W Zhang IEEE Transactions on Visualization and Computer Graphics, 2022 | 6 | 2022 |
| Investigating the Evolution of Tree Boosting Models with Visual Analytics J Wang, W Zhang, L Wang, H Yang The 14th IEEE Pacific Visualization Symposium (PacificVis), 176-185, 2021 | 6 | 2021 |
| Computation-to-core mapping strategies for iso-surface volume rendering on GPUs J Wang, F Yang, Y Cao 2015 IEEE Pacific Visualization Symposium (PacificVis), 153-157, 2015 | 6 | 2015 |
| Visual analytics for rnn-based deep reinforcement learning J Wang, W Zhang, H Yang, CCM Yeh, L Wang IEEE Transactions on Visualization and Computer Graphics 28 (12), 4141-4155, 2021 | 5 | 2021 |
| Normalization of Language Embeddings for Cross-Lingual Alignment PO Aboagye, Y Zheng, CCM Yeh, J Wang, W Zhang, L Wang, H Yang, ... International Conference on Learning Representations, 2022 | 4 | 2022 |
| Error-bounded approximate time series joins using compact dictionary representations of time series CCM Yeh, Y Zheng, J Wang, H Chen, Z Zhuang, W Zhang, E Keogh Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 4 | 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 | 4 | 2021 |
Han-Wei ShenProfessor of Computer Science and Engineering, The Ohio State UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cse.ohio-state.edu
