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Shunan Guo
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2020 – today
- 2024
- [j10]Guande Wu, Shunan Guo, Jane Hoffswell, Gromit Yeuk-Yin Chan, Ryan A. Rossi, Eunyee Koh:
Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback. IEEE Trans. Vis. Comput. Graph. 30(1): 131-141 (2024) - [c22]Minsoo Kim, Victor S. Bursztyn, Eunyee Koh, Shunan Guo, Seung-won Hwang:
RaDA: Retrieval-augmented Web Agent Planning with LLMs. ACL (Findings) 2024: 13511-13525 - [c21]Tongyu Zhou, Gromit Yeuk-Yin Chan, Shunan Guo, Jane Hoffswell, Chang Xiao, Victor S. Bursztyn, Eunyee Koh:
Data Pictorial: Deconstructing Raster Images for Data-Aware Animated Vector Posters. UIST (Adjunct Volume) 2024: 98:1-98:3 - [c20]Yu Fu, Shunan Guo, Jane Hoffswell, Victor S. Bursztyn, Ryan A. Rossi, John T. Stasko:
"The Data Says Otherwise" - Towards Automated Fact-checking and Communication of Data Claims. UIST 2024: 134:1-134:20 - [i13]Qian Zhu, Tao Lu, Shunan Guo, Xiaojuan Ma, Yalong Yang:
CompositingVis: Exploring Interactions for Creating Composite Visualizations in Immersive Environments. CoRR abs/2408.02240 (2024) - [i12]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Franck Dernoncourt, Tong Yu, Xiang Chen, Subrata Mitra, Nedim Lipka:
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback. CoRR abs/2408.02861 (2024) - [i11]Yu Fu, Shunan Guo, Jane Hoffswell, Victor S. Bursztyn, Ryan A. Rossi, John T. Stasko:
"The Data Says Otherwise"-Towards Automated Fact-checking and Communication of Data Claims. CoRR abs/2409.10713 (2024) - 2023
- [j9]Abhraneel Sarma, Shunan Guo, Jane Hoffswell, Ryan A. Rossi, Fan Du, Eunyee Koh, Matthew Kay:
Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots. IEEE Trans. Vis. Comput. Graph. 29(1): 602-612 (2023) - [c19]Arpit Narechania, Surya Chakraborty, Shivam Agarwal, Atanu R. Sinha, Ryan A. Rossi, Fan Du, Jane Hoffswell, Shunan Guo, Eunyee Koh, Alex Endert, Shamkant B. Navathe:
DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. IEEE Big Data 2023: 5305-5310 - [c18]Brodrick Stigall, Ryan A. Rossi, Jane Hoffswell, Xiang Chen, Shunan Guo, Fan Du, Eunyee Koh, Kelly Caine:
On Chatbots for Visual Exploratory Data Analysis. IEEE Big Data 2023: 5924-5929 - [c17]Gromit Yeuk-Yin Chan, Shunan Guo, Caroline Kim, Cole Connelly, Michelle Lee, Andrew Thomson, Eunyee Koh:
Detecting Email Components with Constraints: Expressive and Extensible Models in Answer Set Programming. CHI Extended Abstracts 2023: 84:1-84:8 - [c16]Xinyu Shi, Ziqi Zhou, Jing Wen Zhang, Ali Neshati, Anjul Kumar Tyagi, Ryan A. Rossi, Shunan Guo, Fan Du, Jian Zhao:
De-Stijl: Facilitating Graphics Design with Interactive 2D Color Palette Recommendation. CHI 2023: 122:1-122:19 - [c15]Arpit Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Eunyee Koh, Shamkant B. Navathe, Alex Endert:
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. CHI 2023: 809:1-809:18 - [c14]Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. ICLR 2023 - [c13]Chen Chen, Jane Hoffswell, Shunan Guo, Ryan A. Rossi, Yeuk-Yin Chan, Fan Du, Eunyee Koh, Zhicheng Liu:
WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks. VL/HCC 2023: 209-214 - [c12]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen K. Ahmed:
A ML-based Approach for HTML-based Style Recommendation. WWW (Companion Volume) 2023: 9-13 - [i10]Arpit Narechania, Fan Du, Atanu R. Sinha, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Eunyee Koh, Shamkant B. Navathe, Alex Endert:
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. CoRR abs/2303.01575 (2023) - [i9]Chen Chen, Jane Hoffswell, Shunan Guo, Ryan A. Rossi, Gromit Yeuk-Yin Chan, Fan Du, Eunyee Koh, Zhicheng Liu:
WHATSNEXT: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks. CoRR abs/2308.09802 (2023) - 2022
- [j8]Leni Yang, Xian Xu, Xingyu Lan, Ziyan Liu, Shunan Guo, Yang Shi, Huamin Qu, Nan Cao:
A Design Space for Applying the Freytag's Pyramid Structure to Data Stories. IEEE Trans. Vis. Comput. Graph. 28(1): 922-932 (2022) - [j7]Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao:
Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison. IEEE Trans. Vis. Comput. Graph. 28(12): 4531-4545 (2022) - [j6]Yi Guo, Shunan Guo, Zhuochen Jin, Smiti Kaul, David Gotz, Nan Cao:
Survey on Visual Analysis of Event Sequence Data. IEEE Trans. Vis. Comput. Graph. 28(12): 5091-5112 (2022) - [c11]Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell:
Cicero: A Declarative Grammar for Responsive Visualization. CHI 2022: 600:1-600:15 - [c10]Zhuohao Zhang, Sana Malik, Shunan Guo, Jane Hoffswell, Ryan A. Rossi, Fan Du, Eunyee Koh:
Understanding Business Analysts' Needs for Data Report Authoring. EuroVA@EuroVis 2022: 31-35 - [c9]Zhuohao Zhang, Sana Malik, Shunan Guo, Jane Hoffswell, Ryan A. Rossi, Fan Du, Eunyee Koh:
CODAS: Integrating Business Analytics and Report Authoring. EuroVA@EuroVis 2022: 67-71 - [c8]Beleicia Bullock, Shunan Guo, Eunyee Koh, Ryan A. Rossi, Fan Du, Jane Hoffswell:
Let's Get Personal: Exploring the Design of Personalized Visualizations. IEEE VIS (Short Papers) 2022: 85-89 - [c7]Bingjie Xu, Shunan Guo, Eunyee Koh, Jane Hoffswell, Ryan A. Rossi, Fan Du:
ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization. IEEE VIS (Short Papers) 2022: 120-124 - [c6]Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh:
VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. WWW 2022: 2810-2818 - [i8]Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell:
Cicero: A Declarative Grammar for Responsive Visualization. CoRR abs/2203.08314 (2022) - [i7]Bingjie Xu, Shunan Guo, Eunyee Koh, Jane Hoffswell, Ryan A. Rossi, Fan Du:
ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization. CoRR abs/2207.07643 (2022) - [i6]Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. CoRR abs/2210.00032 (2022) - [i5]April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed:
Graph Learning with Localized Neighborhood Fairness. CoRR abs/2212.12040 (2022) - [i4]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Chan, Eunyee Koh, Nesreen K. Ahmed:
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. CoRR abs/2212.14077 (2022) - 2021
- [j5]Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao:
Visual Causality Analysis of Event Sequence Data. IEEE Trans. Vis. Comput. Graph. 27(2): 1343-1352 (2021) - [c5]Shunan Guo, Zhuochen Jin, Fuling Sun, Jingwen Li, Zhaorui Li, Yang Shi, Nan Cao:
Vinci: An Intelligent Graphic Design System for Generating Advertising Posters. CHI 2021: 577:1-577:17 - 2020
- [j4]Zhuochen Jin, Shuyuan Cui, Shunan Guo, David Gotz, Jimeng Sun, Nan Cao:
CarePre: An Intelligent Clinical Decision Assistance System. ACM Trans. Comput. Heal. 1(1): 6:1-6:20 (2020) - [c4]Fan Du, Shunan Guo, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu:
Interactive Event Sequence Prediction for Marketing Analysts. CHI Extended Abstracts 2020: 1-8 - [i3]Yi Guo, Shunan Guo, Zhuochen Jin, Smiti Kaul, David Gotz, Nan Cao:
Survey on Visual Analysis of Event Sequence Data. CoRR abs/2006.14291 (2020) - [i2]Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao:
Visual Causality Analysis of Event Sequence Data. CoRR abs/2009.00219 (2020)
2010 – 2019
- 2019
- [j3]Shunan Guo, Zhuochen Jin, David Gotz, Fan Du, Hongyuan Zha, Nan Cao:
Visual Progression Analysis of Event Sequence Data. IEEE Trans. Vis. Comput. Graph. 25(1): 417-426 (2019) - [c3]Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao:
Visual Anomaly Detection in Event Sequence Data. IEEE BigData 2019: 1125-1130 - [c2]Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao:
Visualizing Uncertainty and Alternatives in Event Sequence Predictions. CHI 2019: 573 - [i1]Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao:
Visual Anomaly Detection in Event Sequence Data. CoRR abs/1906.10896 (2019) - 2018
- [j2]Chaoguang Lin, Qiuhan Zhu, Shunan Guo, Zhuochen Jin, Yu-Ru Lin, Nan Cao:
Anomaly detection in spatiotemporal data via regularized non-negative tensor analysis. Data Min. Knowl. Discov. 32(4): 1056-1073 (2018) - [j1]Shunan Guo, Ke Xu, Rongwen Zhao, David Gotz, Hongyuan Zha, Nan Cao:
EventThread: Visual Summarization and Stage Analysis of Event Sequence Data. IEEE Trans. Vis. Comput. Graph. 24(1): 56-65 (2018) - [c1]Ke Xu, Shunan Guo, Nan Cao, David Gotz, Aiwen Xu, Huamin Qu, Zhenjie Yao, Yixin Chen:
ECGLens: Interactive Visual Exploration of Large Scale ECG Data for Arrhythmia Detection. CHI 2018: 663
Coauthor Index
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last updated on 2024-10-23 21:22 CEST by the dblp team
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