ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. - Qianwen Wang 001; Yao Ming; Zhihua Jin; Qiaomu Shen; Dongyu Liu; Micah J. Smith; Kalyan Veeramachaneni; Huamin Qu (CHI, 2019)

Narvis: Authoring Narrative Slideshows forIntroducing Data Visualization Designs. - Qianwen Wang 001; Zhen Li 044; Siwei Fu; Weiwei Cui 001; Huamin Qu (CoRR, 2019)

Narvis: Authoring Narrative Slideshows for Introducing Data Visualization Designs. - Qianwen Wang 001; Zhen Li 044; Siwei Fu; Weiwei Cui 001; Huamin Qu (IEEE Trans. Vis. Comput. Graph., 2019)

Augmenting Static Visualizations with PapARVis Designer. - Chen Zhu-Tian; Wai Tong; Qianwen Wang 001; Benjamin Bach; Huamin Qu (CHI, 2020)

GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. - Zhihua Jin; Yong Wang 021; Qianwen Wang 001; Yao Ming; Tengfei Ma 001; Huamin Qu (CoRR, 2020)

Applying Machine Learning Advances to Data Visualization: A Survey on ML4VIS. - Qianwen Wang 001; Chen Zhu-Tian; Yong Wang 021; Huamin Qu (CoRR, 2020)

MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented Reality. - Chen Zhu-Tian; Yijia Su; Yifang Wang 001; Qianwen Wang 001; Huamin Qu; Yingcai Wu (IEEE Trans. Vis. Comput. Graph., 2020)

Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline. - Chen Zhu-Tian; Yun Wang 012; Qianwen Wang 001; Yong Wang 021; Huamin Qu (IEEE Trans. Vis. Comput. Graph., 2020)

DeepDrawing: A Deep Learning Approach to Graph Drawing. - Yong Wang 021; Zhihua Jin; Qianwen Wang 001; Weiwei Cui 001; Tengfei Ma 001; Huamin Qu (IEEE Trans. Vis. Comput. Graph., 2020)

Visual Genealogy of Deep Neural Networks. - Qianwen Wang 001; Jun Yuan 003; Shuxin Chen; Hang Su 006; Huamin Qu; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2020)

HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models. - Qianwen Wang 001; William Alexander; Jack Pegg; Huamin Qu; Min Chen 001 (IEEE Trans. Vis. Comput. Graph., 2021)

Visual Analysis of Discrimination in Machine Learning. - Qianwen Wang 001; Zhenhua Xu 003; Chen Zhu-Tian; Yong Wang 021; Shixia Liu; Huamin Qu (IEEE Trans. Vis. Comput. Graph., 2021)

Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization. - Sehi L'Yi; Qianwen Wang 001; Fritz Lekschas; Nils Gehlenborg (IEEE Trans. Vis. Comput. Graph., 2022)

A Survey on ML4VIS: Applying Machine Learning Advances to Data Visualization. - Qianwen Wang 001; Chen Zhu-Tian; Yong Wang 021; Huamin Qu (IEEE Trans. Vis. Comput. Graph., 2022)

ThreadStates: State-based Visual Analysis of Disease Progression. - Qianwen Wang 001; Tali Mazor; Theresa Anisja Harbig; Ethan Cerami; Nils Gehlenborg (IEEE Trans. Vis. Comput. Graph., 2022)

DRAVA: Aligning Human Concepts with Machine Learning Latent Dimensions for the Visual Exploration of Small Multiples. - Qianwen Wang 001; Sehi L'Yi; Nils Gehlenborg (CHI, 2023)

The Role of Visualization in Genomics Data Analysis Workflows: The Interviews. - Sehi L'Yi; Qianwen Wang 001; Nils Gehlenborg (IEEE VIS (Short Papers), 2023)

Enabling Multimodal User Interactions for Genomics Visualization Creation. - Qianwen Wang 001; Xiao Liu; Man Qing Liang; Sehi L'Yi; Nils Gehlenborg (IEEE VIS (Short Papers), 2023)

Beyond Generating Code: Evaluating GPT on a Data Visualization Course. - Chen Zhu-Tian; Chenyang Zhang; Qianwen Wang 001; Jakob Troidl; Simon Warchol; Johanna Beyer; Nils Gehlenborg; Hanspeter Pfister (CoRR, 2023)

Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis. - Furui Cheng; Mark S. Keller; Huamin Qu; Nils Gehlenborg; Qianwen Wang 001 (IEEE Trans. Vis. Comput. Graph., 2023)

GenoREC: A Recommendation System for Interactive Genomics Data Visualization. - Aditeya Pandey; Sehi L'Yi; Qianwen Wang 001; Michelle A. Borkin; Nils Gehlenborg (IEEE Trans. Vis. Comput. Graph., 2023)

Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing. - Qianwen Wang 001; Kexin Huang; Payal Chandak; Marinka Zitnik; Nils Gehlenborg (IEEE Trans. Vis. Comput. Graph., 2023)

GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. - Zhihua Jin; Yong Wang 021; Qianwen Wang 001; Yao Ming; Tengfei Ma 001; Huamin Qu (IEEE Trans. Vis. Comput. Graph., 2023)

GNN 101: Visual Learning of Graph Neural Networks in Your Web Browser. - Yilin Lu; Chongwei Chen; Kexin Huang; Marinka Zitnik; Qianwen Wang 001 (CoRR, 2024)

The State of Single-Cell Atlas Data Visualization in the Biological Literature. - Mark S. Keller; Eric Mörth; Thomas C. Smits; Simon Warchol; Grace Guo 001; Qianwen Wang 001; Robert Krüger; Hanspeter Pfister; Nils Gehlenborg (IEEE Computer Graphics and Applications, 2025)

KNowNEt:Guided Health Information Seeking from LLMs via Knowledge Graph Integration. - Youfu Yan; Yu Hou; Yongkang Xiao; Rui Zhang; Qianwen Wang 001 (IEEE Trans. Vis. Comput. Graph., 2025)

A Critical Analysis of the Usage of Dimensionality Reduction in Four Domains. - Dylan Cashman; Mark S. Keller; Hyeon Jeon; Bum Chul Kwon; Qianwen Wang 001 (IEEE Trans. Vis. Comput. Graph., 2025)

Not All Uncertainty Is Equal: How Uncertainty Granularity Shapes Human Verification in LLM-Assisted Decision Making. - Mauricio Villavicencio; Sitong Pan; Qianwen Wang 001 (FAccT, 2026)

FlowForge: Guiding the Creation of Multi-Agent Workflows with Design Space Visualization as a Thinking Scaffold. - Pan Hao; Dongyeop Kang; Nicholas Hinds; Qianwen Wang 001 (IEEE Trans. Vis. Comput. Graph., 2026)

Can LLMs Bridge Domain and Visualization? A Case Study on High-Dimension Data Visualization in Single-Cell Transcriptomics. - Qianwen Wang 001; Xinyi Liu 001; Nils Gehlenborg (IEEE Trans. Vis. Comput. Graph., 2026)

GNN101: Visual Learning of Graph Neural Networks in Your Web Browser. - Yilin Lu; Chongwei Chen; Yuxin Chen; Kexin Huang; Marinka Zitnik; Qianwen Wang 001 (IEEE Trans. Vis. Comput. Graph., 2026)