Gromit Yeuk-Yin Chan

Orcid: 0000-0003-1356-4406

Affiliations:
  • Adobe Research, San Jose, CA, USA
  • New York University, Brooklyn, NY, USA (PhD)


According to our database1, Gromit Yeuk-Yin Chan authored at least 20 papers between 2017 and 2024.

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Bibliography

2024
Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback.
IEEE Trans. Vis. Comput. Graph., January, 2024

2023
A ML-based Approach for HTML-based Style Recommendation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks.
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

Fast Natural Language Based Data Exploration with Samples.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization.
Proceedings of the 16th International Natural Language Generation Conference, 2023

Detecting Email Components with Constraints: Expressive and Extensible Models in Answer Set Programming.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation.
Proceedings of the IEEE International Conference on Big Data, 2023

Discovery and Matching Numerical Attributes in Data Lakes.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings.
CoRR, 2022

Graph Learning with Localized Neighborhood Fairness.
CoRR, 2022

Topological Representations of Local Explanations.
CoRR, 2022

SUBPLEX: A Visual Analytics Approach to Understand Local Model Explanations at the Subpopulation Level.
IEEE Computer Graphics and Applications, 2022

GALE: Globally Assessing Local Explanations.
Proceedings of the Topological, 2022

2021
Interactive Audience Expansion On Large Scale Online Visitor Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries.
IEEE Trans. Vis. Comput. Graph., 2020

Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together.
CoRR, 2020

SUBPLEX: Towards a Better Understanding of Black Box Model Explanations at the Subpopulation Level.
CoRR, 2020

Real-Time Clustering for Large Sparse Online Visitor Data.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019
ViBr: Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle.
IEEE Trans. Vis. Comput. Graph., 2019

2017
Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017


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