Below is a selection of my publications, which may not always be up to date. For the complete and most current list, please visit my google scholar.
You can filter publications by clicking the tags below.
KNOWNET: Guided Health Information Seeking from LLMs via Knowledge Graph Integration
Youfu Yan, Yu Hou, Yongkang Xiao, Rui Zhang, Qianwen Wang
vis4ml biomed
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2024)
🏆 Best Paper Honorable Mention
DRAVA: Aligning Human Concepts with Machine Learning Latent Dimensions for the Visual Exploration of Small Multiples
Qianwen Wang, Sehi L'Yi, Nils Gehlenborg
vis4ml ml4vis biomed
ACM CHI 2023
Zero-Shot Prediction of Therapeutic Use with Geometric Deep Learning and Clinician Centered Design
Kexin Huang, Payal Chandak, Qianwen Wang, Shreyas Havaldar, Akhil Vaid, Jure Leskovec, Girish Nadkarni, Benjamin S. Glicksberg, Nils Gehlenborg, Marinka Zitnik
vis4ml biomed
to appear in Nature Medicine
Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing
Qianwen Wang, Kexin Huang, Payal Chandak, Marinka Zitnik, Nils Gehlenborg
vis4ml biomed
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2022)
🏆 Best Paper Honorable Mention
Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis
Furui Cheng, Mark S Keller, Huamin Qu, Nils Gehlenborg, Qianwen Wang
vis4ml biomed
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2022)
🏆 Best Abstract Award at BioVis@ISMB 2022
GenoREC: A Recommendation System for Interactive Genomics Data Visualization
Aditeya Pandey, Sehi L'Yi, Qianwen Wang, Michelle Borkin, Nils Gehlenborg
ml4vis biomed
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2022)
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
vis4ml
IEEE Transactions on Visualization and Computer Graphics 2022
Interactive Visual Explanations for Deep Drug Repurposing
Qianwen Wang, Kexin Huang, Payal Chandak, Nils Gehlenborg, Marinka Zitnik
vis4ml biomed
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
biomed
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
biomed design
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2021)
🏆 Best Abstract Award at BioVis@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
biomed
Bioinformatics (Proc. ISMB 2021)
A Survey on ML4VIS: Applying Machine Learning Advances to Data Visualization
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)
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)
Narvis: Authoring Narrative Slideshows
for Introducing Data Visualization Designs
Qianwen Wang, Zhen Li, Siwei Fu, Weiwei Cui, Huamin Qu
design
IEEE InfoVis 2018, IEEE TVCG 25(1) 779-788, 2019