Interactive Visual Explanations for Deep Drug Repurposing

Qianwen Wang, Kexin Huang, Payal Chandak, Nils Gehlenborg, Marinka Zitnik

vis4ml healthcare

ICML workshop on Interpretable Machin Learning in Healthcare,
🏆 Best Paper Award

ThreadStates: State-based Visual Analysis of Disease Progression

Qianwen Wang, Tali Mazor, Theresa A Harbig, Ethan Cerami, Nils Gehlenborg

healthcare

IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2021)

Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization

Sehi L'Yi, Qianwen Wang, Fritz Lekschas, Nils Gehlenborg

healthcare accessible

IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2021)
🏆 Best Abstract Award at ISMB 2021

OncoThreads: Visualization of Large Scale Longitudinal Cancer Molecular Data

Theresa A Harbig, Sabrina Nusrat, Tali Mazor, Qianwen Wang, Alexander Thomson, Hans Bitter, Ethan Cerami, Nils Gehlenborg

healthcare

Bioinformatics (Proc. ISMB 2021)

Applying Machine Learning Advances to Data Visualization: A Survey on ML4VIS

Qianwen Wang, Zhutian Chen, Yong Wang, and Huamin Qu

ml4vis

IEEE Transactions on Visualization and Computer Graphics

Visual Analysis of Discrimination in Machine Learning

Qianwen Wang, Zhenhua Xu, Zhutian Chen, Yong Wang,
Shixia Liu, and Huamin Qu

vis4ml

IEEE Transactions on Visualization and Computer Graphics
(Proc. IEEE InfoVis 2020)

HypoML: Visual Analysis for Hypothesis-based Evaluation ofMachine Learning Models

Qianwen Wang, William Alexander, Jack Pegg, Huamin Qu, and Min Chen

vis4ml

IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VAST 2020)

SineStream: Improving the Readability of Streamgraphs by Minimizing Sine Illusion Effects

Chuan Bu, Quanjie Zhang, Qianwen Wang, Jian Zhang, Michael Sedlmair, Oliver Deussen, Yunhai Wang.

ml4vis

IEEE Transactions on Visualization and Computer Graphics
(Proc. IEEE InfoVis 2020)

Augmenting Static Visualizations with PapARVis Designer

Zhutian Chen, Wai Tong, Qianwen Wang, Benjamin Bach, and Huamin Qu.

accessible

ACM CHI 2020

Towards Automated Infographic Design:
Deep Learning-based Auto-Generation of Extensible Timeline

Zhutian Chen, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu

ml4vis accessible

IEEE Transactions on Visualization and Computer Graphics
(Proc. IEEE InfoVis 2019)

Visual Genealogy of Deep Neural Networks

Qianwen Wang, Jun Yuan, Shuxin Chen, Su Hang, Huamin Qu, Shixia Liu

vis4ml

IEEE Transactions on Visualization and Computer Graphics 2019

DeepDrawing: A Deep Learning Approach to Graph Drawing

Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu

ml4vis

IEEE Transactions on Visualization and Computer Graphics
(Proc. IEEE InfoVis 2019)

ATMSeer: Increasing Transparency and Controllability
in Automated Machine Learning

Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen,
Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu

vis4ml

ACM CHI 2019

MARVisT: Authoring Glyph-based Visualization in Mobile Augmented Reality

Zhutian Chen, Yijia Su, Yifang Wang, Qianwen Wang, Huamin Qu,
Yingcai Wu

accessible

IEEE Transactions on Visualization and Computer Graphics 2019

Narvis: Authoring Narrative Slideshows
for Introducing Data Visualization Designs

Qianwen Wang, Zhen Li, Siwei Fu, Weiwei Cui, Huamin Qu

accessible

IEEE InfoVis 2018, IEEE TVCG 25(1) 779-788, 2019