| Atmseer: Increasing transparency and controllability in automated machine learning Q Wang, Y Ming, Z Jin, Q Shen, D Liu, MJ Smith, K Veeramachaneni, ... Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019 | 112 | 2019 |
| A survey on ML4VIS: Applying machine learning advances to data visualization Q Wang, Z Chen, Y Wang, H Qu IEEE transactions on visualization and computer graphics 28 (12), 5134-5153, 2021 | 102* | 2021 |
| Towards automated infographic design: Deep learning-based auto-extraction of extensible timeline Z Chen, Y Wang, Q Wang, Y Wang, H Qu IEEE transactions on visualization and computer graphics 26 (1), 917-926, 2019 | 89 | 2019 |
| Marvist: Authoring glyph-based visualization in mobile augmented reality Z Chen, Y Su, Y Wang, Q Wang, H Qu, Y Wu IEEE transactions on visualization and computer graphics 26 (8), 2645-2658, 2019 | 66 | 2019 |
| DeepDrawing: A Deep Learning Approach to Graph Drawing Y Wang, Z Jin, Q Wang, W Cui, T Ma, H Qu IEEE Transactions on Visualization and Computer Graphics 26 (1), 676-686, 2019 | 61 | 2019 |
| Augmenting static visualizations with paparvis designer Z Chen, W Tong, Q Wang, B Bach, H Qu Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 56 | 2020 |
| Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization S L'Yi, Q Wang, F Lekschas, N Gehlenborg IEEE Transactions on Visualization and Computer Graphics, 2021 | 52 | 2021 |
| Visual analysis of discrimination in machine learning Q Wang, Z Xu, Z Chen, Y Wang, S Liu, H Qu IEEE Transactions on Visualization and Computer Graphics 27 (2), 1470-1480, 2020 | 47 | 2020 |
| Narvis: Authoring narrative slideshows for introducing data visualization designs Q Wang, Z Li, S Fu, W Cui, H Qu IEEE transactions on visualization and computer graphics 25 (1), 779-788, 2018 | 35 | 2018 |
| Gnnlens: A visual analytics approach for prediction error diagnosis of graph neural networks Z Jin, Y Wang, Q Wang, Y Ming, T Ma, H Qu IEEE Transactions on Visualization and Computer Graphics, 2022 | 33 | 2022 |
| Extending the nested model for user-centric XAI: A design study on GNN-based drug repurposing Q Wang, K Huang, P Chandak, M Zitnik, N Gehlenborg IEEE Transactions on Visualization and Computer Graphics 29 (1), 1266-1276, 2022 | 28 | 2022 |
| Visual genealogy of deep neural networks Q Wang, J Yuan, S Chen, H Su, H Qu, S Liu IEEE transactions on visualization and computer graphics 26 (11), 3340-3352, 2019 | 23 | 2019 |
| ThreadStates: State-based Visual Analysis of Disease Progression Q Wang, T Mazor, TA Harbig, E Cerami, N Gehlenborg IEEE Transactions on Visualization and Computer Graphics, 2021 | 19 | 2021 |
| Sinestream: Improving the readability of streamgraphs by minimizing sine illusion effects C Bu, Q Zhang, Q Wang, J Zhang, M Sedlmair, O Deussen, Y Wang IEEE Transactions on Visualization and Computer Graphics 27 (2), 1634-1643, 2020 | 17 | 2020 |
| Beyond generating code: Evaluating gpt on a data visualization course Z Chen, C Zhang, Q Wang, J Troidl, S Warchol, J Beyer, N Gehlenborg, ... 2023 IEEE VIS Workshop on Visualization Education, Literacy, and Activities …, 2023 | 12 | 2023 |
| GenoREC: a recommendation system for interactive genomics data visualization A Pandey, S L'Yi, Q Wang, MA Borkin, N Gehlenborg IEEE transactions on visualization and computer graphics 29 (1), 570-580, 2022 | 11 | 2022 |
| DRAVA: Aligning human concepts with machine learning latent dimensions for the visual exploration of small multiples Q Wang, S L'Yi, N Gehlenborg Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 10 | 2023 |
| Zero-shot drug repurposing with geometric deep learning and clinician centered design K Huang, P Chandak, Q Wang, S Havaldar, A Vaid, J Leskovec, ... medRxiv, 2023.03. 19.23287458, 2023 | 10 | 2023 |
| Polyphony: An interactive transfer learning framework for single-cell data analysis F Cheng, MS Keller, H Qu, N Gehlenborg, Q Wang IEEE transactions on visualization and computer graphics 29 (1), 591-601, 2022 | 9 | 2022 |
| HypoML: Visual analysis for hypothesis-based evaluation of machine learning models Q Wang, W Alexander, J Pegg, H Qu, M Chen IEEE Transactions on Visualization and Computer Graphics 27 (2), 1417-1426, 2020 | 8 | 2020 |
Huamin QuChair Professor, Hong Kong University of Science and Technology在 cse.ust.hk 的电子邮件经过验证
