Shunan Guo

Research Scientist

San Jose

Shunan Guo joined Adobe Research in Feb 2021. She received her Ph.D. degree in Computer Science and Software Engineering from East China Normal University in 2019, advised by Prof. Hongyuan Zha. She also worked closely with Prof. Nan Cao in the Intelligent Big Data Visualization Lab of Tongji University as a visiting student from 2016-2019 and a postdoctoral researcher in 2020. Her research interest lies in the area of information visualization and visual analytics, with a focus on designing and developing visual analytics prototypes that communicate insights derived from complex data models.

For more information, please visit her personal website.

Publications

Utilizing Provenance as an Attribute for Visual Data Analysis: A Design Probe with ProvenanceLens

Narechania, Arpit., Guo, Shunan., Koh, Eunyee., Endert, Alex., Hoffswell, Jane. (May. 19, 2025)

IEEE TVCG 2025

A Case Study of Human-Authored versus Automatic Dashboard Summaries

Hoffswell, Jane., Bursztyn, Victor., Guo, Shunan., Koh, Eunyee. (Apr. 28, 2025)

ACM CHI 2025 LBW

Comprehensive Sketching: Exploring Infographic Design Alternatives in Parallel

Shi, Xinyu., Guo, Shunan., Hoffswell, Jane., Chan, Gromit., Bursztyn, Victor., Zhao, Jian., Koh, Eunyee. (Apr. 26, 2025)

CHI 2025

Representing Charts as Text for Language Models: An In-Depth Study of Question Answering for Bar Charts

Bursztyn, Victor., Hoffswell, Jane., Guo, Shunan., Koh, Eunyee. (Oct. 13, 2024)

IEEE VIS 2024 (short paper)

RaDA: Retrieval-augmented Web Agent Planning with LLMs

Kim, Minsoo., Bursztyn, Victor., Koh, Eunyee., Guo, Shunan., Hwang, Seung-won. (Aug. 11, 2024)

Association for Computational Linguistics (ACL)

Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback

Wu, Guande., Guo, Shunan., Hoffswell, Jane., Chan, Gromit., Rossi, Ryan., Koh, Eunyee. (Oct. 23, 2023)

IEEE VIS 2023

WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks

Chen, Chen., Hoffswell, Jane., Guo, Shunan., Rossi, Ryan., Chan, Gromit., Du, Fan., Koh, Eunyee., Liu, Leo. (Oct. 3, 2023)

IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation

Narechania, Arpit., Du, Fan., Sinha, Atanu., Rossi, Ryan., Hoffswell, Jane., Guo, Shunan., Koh, Eunyee., Navathe, Shamkant., Endert, Alex. (Apr. 23, 2023)

CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, April 2023

Let’s Get Personal: Exploring the Design of Personalized Visualizations

Bullock, Beleicia., Guo, Shunan., Koh, Eunyee., Rossi, Ryan., Du, Fan., Hoffswell, Jane. (Oct. 18, 2022)

IEEE VIS 2022 (short paper)

Cicero: A Declarative Grammar for Responsive Visualization

Kim, Hyeok., Rossi, Ryan., Du, Fan., Koh, Eunyee., Guo, Shunan., Hullman, Jessica., Hoffswell, Jane. (May. 2, 2022)

ACM CHI 2022

Visualizing Uncertainty and Alternatives in Event Sequence Predictions

Guo, Shunan., Du, Fan., Malik, Sana., Koh, Eunyee., Kim, Sungchul., Liu, Leo., Kim, Donghyun., Zha, Hongyuan., Cao, Nan. (Jan. 4, 2019)

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2019)

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