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Qianwen Wang
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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
752019
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
472019
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
322019
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
282019
A Survey on ML4VIS: Applying MachineLearning Advances to Data Visualization
Q Wang, Z Chen, Y Wang, H Qu
IEEE Transactions on Visualization and Computer Graphics, 2021
26*2021
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
252020
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
162020
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
152018
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
142019
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
92022
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
92021
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
42020
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
32021
OncoThreads: Visualization of Large Scale Longitudinal Cancer Molecular Data
TA Harbig, S Nusrat, T Mazor, Q Wang, A Thomson, H Bitter, E Cerami, ...
Bioinformatics 37 (Supplement_1, July 2021), i59–i66, 2021
32021
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
32020
Interactive Visual Explanations for Deep Drug Repurposing
Q Wang, K Huang, P Chandak, N Gehlenborg, M Zitnik
ICML workshop on Interpretable Machine Learning in Healthcare, 2021
12021
Drava: Concept-Driven Exploration of Small Multiples using Interpretable Latent Vectors
Q Wang, S L'Yi, N Gehlenborg
OSF Preprints, 2022
2022
Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis
F Cheng, MS Keller, H Qu, N Gehlenborg, Q Wang
OSF Preprints, 2022
2022
Towards Usable Explanations: Extending the Nested Model of Visualization Design for User-Centric XAI
Q Wang, K Huang, P Chandak, M Zitnik, N Gehlenborg
OSF Preprints, 2022
2022
GenoREC: A Recommendation System for Interactive Genomics Data Visualization
A Pandey, S L'Yi, Q Wang, M Borkin, N Gehlenborg
OSF Preprints, 2022
2022
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