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Qianwen Wang
Qianwen Wang
Assistant Professor, CSE, University of Minnesota
Bestätigte E-Mail-Adresse bei umn.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1262019
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
116*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
952019
Marvist: Authoring glyph-based visualization in mobile augmented reality
C Zhu-Tian, Y Su, Y Wang, Q Wang, H Qu, Y Wu
IEEE transactions on visualization and computer graphics 26 (8), 2645-2658, 2019
712019
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
642019
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
632021
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
622020
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
592020
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
442018
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
422022
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 29 (6), 3024-3038, 2022
422022
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
272019
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
222021
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
212020
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
202023
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
192023
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
172023
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
152022
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
132022
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
92020
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