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ORCIDQianwen Wang 0001
Person information
- affiliation: Harvard Medical School, USA
- affiliation: University of Minnesota, Twin Cities, Minneapolis, MN, USA
- affiliation (2017-2018): Microsoft Research Asia, Beijing, China
- affiliation: Hong Kong University of Science and Technology, Hong Kong
Other persons with the same name
- Qianwen Wang — disambiguation page
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2020 – today
- 2026
[j20]Qianwen Wang
, Xinyi Liu, Nils Gehlenborg:
Can LLMs Bridge Domain and Visualization? A Case Study on High-Dimension Data Visualization in Single-Cell Transcriptomics. IEEE Trans. Vis. Comput. Graph. 32(1): 342-352 (2026)- [j19]Pan Hao, Dongyeop Kang, Nicholas Hinds, Qianwen Wang:
FlowForge: Guiding the Creation of Multi-Agent Workflows with Design Space Visualization as a Thinking Scaffold. IEEE Trans. Vis. Comput. Graph. 32(1): 1032-1042 (2026) - [j18]Yilin Lu, Chongwei Chen, Yuxin Chen, Kexin Huang, Marinka Zitnik, Qianwen Wang:
GNN101: Visual Learning of Graph Neural Networks in Your Web Browser. IEEE Trans. Vis. Comput. Graph. 32(2): 1793-1805 (2026) - 2025
- [j17]Mark S. Keller, Eric Mörth, Thomas C. Smits, Simon Warchol, Grace Guo, Qianwen Wang, Robert Krüger, Hanspeter Pfister, Nils Gehlenborg:
The State of Single-Cell Atlas Data Visualization in the Biological Literature. IEEE Computer Graphics and Applications 45(5): 18-34 (2025) - [j16]Youfu Yan, Yu Hou, Yongkang Xiao, Rui Zhang, Qianwen Wang:
KNowNEt:Guided Health Information Seeking from LLMs via Knowledge Graph Integration. IEEE Trans. Vis. Comput. Graph. 31(1): 547-557 (2025) - [j15]Dylan Cashman, Mark S. Keller, Hyeon Jeon, Bum Chul Kwon, Qianwen Wang:
A Critical Analysis of the Usage of Dimensionality Reduction in Four Domains. IEEE Trans. Vis. Comput. Graph. 31(10): 9405-9423 (2025) - [i13]Dylan Cashman, Mark S. Keller, Hyeon Jeon, Bum Chul Kwon, Qianwen Wang:
A Critical Analysis of the Usage of Dimensionality Reduction in Four Domains. CoRR abs/2503.08836 (2025) - 2024
- [i12]Yilin Lu, Chongwei Chen, Kexin Huang, Marinka Zitnik, Qianwen Wang:
GNN 101: Visual Learning of Graph Neural Networks in Your Web Browser. CoRR abs/2411.17849 (2024) - 2023
- [j14]Aditeya Pandey, Sehi L'Yi, Qianwen Wang, Michelle A. Borkin, Nils Gehlenborg:
GenoREC: A Recommendation System for Interactive Genomics Data Visualization. IEEE Trans. Vis. Comput. Graph. 29(1): 570-580 (2023) - [j13]Furui Cheng, Mark S. Keller, Huamin Qu, Nils Gehlenborg, Qianwen Wang:
Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis. IEEE Trans. Vis. Comput. Graph. 29(1): 591-601 (2023) - [j12]Qianwen Wang, Kexin Huang, Payal Chandak, Marinka Zitnik, Nils Gehlenborg:
Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing. IEEE Trans. Vis. Comput. Graph. 29(1): 1266-1276 (2023) - [j11]Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu:
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. IEEE Trans. Vis. Comput. Graph. 29(6): 3024-3038 (2023) - [c5]Qianwen Wang, Sehi L'Yi, Nils Gehlenborg:
DRAVA: Aligning Human Concepts with Machine Learning Latent Dimensions for the Visual Exploration of Small Multiples. CHI 2023: 833:1-833:15 - [c4]Sehi L'Yi, Qianwen Wang, Nils Gehlenborg:
The Role of Visualization in Genomics Data Analysis Workflows: The Interviews. IEEE VIS (Short Papers) 2023: 101-105 - [c3]Qianwen Wang, Xiao Liu, Man Qing Liang, Sehi L'Yi, Nils Gehlenborg:
Enabling Multimodal User Interactions for Genomics Visualization Creation. IEEE VIS (Short Papers) 2023: 111-115 - [i11]Chen Zhu-Tian, Chenyang Zhang, Qianwen Wang, Jakob Troidl, Simon Warchol, Johanna Beyer, Nils Gehlenborg, Hanspeter Pfister:
Beyond Generating Code: Evaluating GPT on a Data Visualization Course. CoRR abs/2306.02914 (2023) - [i10]Chen Zhu-Tian, Wai Tong, Qianwen Wang, Benjamin Bach, Huamin Qu:
Augmenting Static Visualizations with PapARVis Designer. CoRR abs/2310.04826 (2023) - [i9]Chen Zhu-Tian, Yijia Su, Yifang Wang, Qianwen Wang, Huamin Qu, Yingcai Wu:
MARVisT: Authoring Glyph-based Visualization in Mobile Augmented Reality. CoRR abs/2310.04843 (2023) - 2022
- [j10]Sehi L'Yi, Qianwen Wang, Fritz Lekschas, Nils Gehlenborg:
Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization. IEEE Trans. Vis. Comput. Graph. 28(1): 140-150 (2022) - [j9]Qianwen Wang, Tali Mazor, Theresa Anisja Harbig, Ethan Cerami, Nils Gehlenborg:
ThreadStates: State-based Visual Analysis of Disease Progression. IEEE Trans. Vis. Comput. Graph. 28(1): 238-247 (2022) - [j8]Qianwen Wang, Chen Zhu-Tian, Yong Wang, Huamin Qu:
A Survey on ML4VIS: Applying Machine Learning Advances to Data Visualization. IEEE Trans. Vis. Comput. Graph. 28(12): 5134-5153 (2022) - 2021
- [j7]Qianwen Wang, William Alexander, Jack Pegg, Huamin Qu, Min Chen:
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models. IEEE Trans. Vis. Comput. Graph. 27(2): 1417-1426 (2021) - [j6]Qianwen Wang, Zhenhua Xu, Chen Zhu-Tian, Yong Wang, Shixia Liu, Huamin Qu:
Visual Analysis of Discrimination in Machine Learning. IEEE Trans. Vis. Comput. Graph. 27(2): 1470-1480 (2021) - 2020
- [j5]Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu:
DeepDrawing: A Deep Learning Approach to Graph Drawing. IEEE Trans. Vis. Comput. Graph. 26(1): 676-686 (2020) - [j4]Chen Zhu-Tian, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu:
Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline. IEEE Trans. Vis. Comput. Graph. 26(1): 917-926 (2020) - [j3]Chen Zhu-Tian, Yijia Su, Yifang Wang, Qianwen Wang, Huamin Qu, Yingcai Wu:
MARVisT: Authoring Glyph-Based Visualization in Mobile Augmented Reality. IEEE Trans. Vis. Comput. Graph. 26(8): 2645-2658 (2020) - [j2]Qianwen Wang, Jun Yuan, Shuxin Chen, Hang Su, Huamin Qu, Shixia Liu:
Visual Genealogy of Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 26(11): 3340-3352 (2020) - [c2]Chen Zhu-Tian, Wai Tong, Qianwen Wang, Benjamin Bach, Huamin Qu:
Augmenting Static Visualizations with PapARVis Designer. CHI 2020: 1-12 - [i8]Qianwen Wang, William Alexander, Jack Pegg, Huamin Qu, Min Chen:
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models. CoRR abs/2002.05271 (2020) - [i7]Qianwen Wang, Zhenhua Xu, Chen Zhu-Tian, Yong Wang, Shixia Liu, Huamin Qu:
Visual Analysis of Discrimination in Machine Learning. CoRR abs/2007.15182 (2020) - [i6]Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu:
GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. CoRR abs/2011.11048 (2020) - [i5]Qianwen Wang, Chen Zhu-Tian, Yong Wang, Huamin Qu:
Applying Machine Learning Advances to Data Visualization: A Survey on ML4VIS. CoRR abs/2012.00467 (2020)
2010 – 2019
- 2019
- [j1]Qianwen Wang, Zhen Li, Siwei Fu, Weiwei Cui, Huamin Qu:
Narvis: Authoring Narrative Slideshows for Introducing Data Visualization Designs. IEEE Trans. Vis. Comput. Graph. 25(1): 779-788 (2019) - [c1]Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu:
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CHI 2019: 681 - [i4]Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu:
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CoRR abs/1902.05009 (2019) - [i3]Qianwen Wang, Zhen Li, Siwei Fu, Weiwei Cui, Huamin Qu:
Narvis: Authoring Narrative Slideshows forIntroducing Data Visualization Designs. CoRR abs/1907.05609 (2019) - [i2]Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu:
DeepDrawing: A Deep Learning Approach to Graph Drawing. CoRR abs/1907.11040 (2019) - [i1]Chen Zhu-Tian, Yun Wang, Qianwen Wang, Yong Wang, Huamin Qu:
Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline. CoRR abs/1907.13550 (2019)
Coauthor Index
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