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ORCIDGromit Yeuk-Yin Chan
Person information
- unicode name: 陳若然
- affiliation: Adobe Research, San Jose, CA, USA
- affiliation (PhD): New York University, Brooklyn, NY, USA
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2020 – today
- 2024
[j4]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)- [c12]Tongyu Zhou, Jeff Huang, Gromit Yeuk-Yin Chan:
Epigraphics: Message-Driven Infographics Authoring. CHI 2024: 200:1-200:18 - [i9]Tongyu Zhou, Jeff Huang, Gromit Yeuk-Yin Chan:
Epigraphics: Message-Driven Infographics Authoring. CoRR abs/2404.10152 (2024) - 2023
- [c11]Pattara Sukprasert, Gromit Yeuk-Yin Chan, Ryan A. Rossi, Fan Du, Eunyee Koh:
Discovery and Matching Numerical Attributes in Data Lakes. IEEE Big Data 2023: 423-432 - [c10]Alex Tang, Gromit Chan, Ryan A. Rossi, Chang Xiao, Eunyee Koh:
Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation. IEEE Big Data 2023: 1539-1543 - [c9]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 - [c8]Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, C. Lee Giles, Ting-Hao (Kenneth) Huang:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. INLG 2023: 80-92 - [c7]Shubham Agarwal, Gromit Yeuk-Yin Chan, Shaddy Garg, Tong Yu, Subrata Mitra:
Fast Natural Language Based Data Exploration with Samples. SIGMOD Conference Companion 2023: 155-158 - [c6]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 - [c5]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 - [i8]Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, Clyde Lee Giles, Ting-Hao Kenneth Huang:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. CoRR abs/2302.12324 (2023) - [i7]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
- [j3]Jun Yuan, Gromit Yeuk-Yin Chan, Brian Barr, Kyle Overton, Kim Rees, Luis Gustavo Nonato, Enrico Bertini, Cláudio T. Silva:
SUBPLEX: A Visual Analytics Approach to Understand Local Model Explanations at the Subpopulation Level. IEEE Computer Graphics and Applications 42(6): 24-36 (2022) - [c4]Peter Xenopoulos, Gromit Chan, Harish Doraiswamy, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva:
GALE: Globally Assessing Local Explanations. TAG-ML 2022: 322-331 - [i6]Peter Xenopoulos, Gromit Chan, Harish Doraiswamy, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva:
Topological Representations of Local Explanations. CoRR abs/2201.02155 (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
- [c3]Gromit Yeuk-Yin Chan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Fan Du, Cláudio T. Silva, Juliana Freire:
Interactive Audience Expansion On Large Scale Online Visitor Data. KDD 2021: 2621-2631 - 2020
- [j2]Gromit Yeuk-Yin Chan, Luis Gustavo Nonato, Alice Chu, Preeti Raghavan, Viswanath Aluru, Cláudio T. Silva:
Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries. IEEE Trans. Vis. Comput. Graph. 26(1): 981-990 (2020) - [c2]Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup B. Rao, Eunyee Koh, Cláudio T. Silva, Juliana Freire:
Real-Time Clustering for Large Sparse Online Visitor Data. WWW 2020: 1049-1059 - [i3]Gromit Yeuk-Yin Chan, Jun Yuan, Kyle Overton, Brian Barr, Kim Rees, Luis Gustavo Nonato, Enrico Bertini, Cláudio T. Silva:
SUBPLEX: Towards a Better Understanding of Black Box Model Explanations at the Subpopulation Level. CoRR abs/2007.10609 (2020) - [i2]Gromit Yeuk-Yin Chan, Enrico Bertini, Luis Gustavo Nonato, Brian Barr, Cláudio T. Silva:
Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together. CoRR abs/2007.10614 (2020)
2010 – 2019
- 2019
- [j1]Gromit Yeuk-Yin Chan, Panpan Xu, Zeng Dai, Liu Ren:
ViBr: Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle. IEEE Trans. Vis. Comput. Graph. 25(1): 321-330 (2019) - [i1]Gromit Yeuk-Yin Chan, Luis Gustavo Nonato, Alice Chu, Preeti Raghavan, Viswanath Aluru, Cláudio T. Silva:
Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries. CoRR abs/1907.09146 (2019) - 2017
- [c1]Yeuk-Yin Chan, Fernando Chirigati, Harish Doraiswamy, Cláudio T. Silva, Juliana Freire:
Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets. SIGMOD Conference 2017: 1643-1646
Coauthor Index
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last updated on 2024-05-19 00:06 CEST by the dblp team
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