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

PDF WEBPAGE

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

PDF WEBPAGE

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

PDF CODE

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

PDF CODE

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)

PDF DEMO VIDEO

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

PDF

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

PDF DEMO

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)

PDF WEBPAGE CODE

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

PDF WEBPAGE CODE DEMO

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)

PDF CODE

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

PDF WEBPAGE

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)

PDF CODE DEMO

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)

PDF DEMO

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)

PDF

Augmenting Static Visualizations with PapARVis Designer

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

design

ACM CHI 2020

PDF VIDEO CODE

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

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

ml4vis design

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

PDF WEBPAGE

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

PDF DEMO

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)

PDF CODE

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

PDF VIDEO CODE

MARVisT: Authoring Glyph-based Visualization in Mobile Augmented Reality

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

design

IEEE Transactions on Visualization and Computer Graphics 2019

PDF WEBPAGE

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

PDF VIDEO WEBPAGE