Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets. - Yeuk-Yin Chan; Fernando Chirigati; Harish Doraiswamy; Cláudio T. Silva; Juliana Freire (SIGMOD Conference, 2017)

ViBr: Visualizing Bipartite Relations at Scale with the Minimum Description Length Principle. - Gromit Yeuk-Yin Chan; Panpan Xu; Zeng Dai; Liu Ren (IEEE Trans. Vis. Comput. Graph., 2019)

Real-Time Clustering for Large Sparse Online Visitor Data. - Gromit Yeuk-Yin Chan; Fan Du; Ryan A. Rossi; Anup B. Rao; Eunyee Koh; Cláudio T. Silva; Juliana Freire (WWW, 2020)

SUBPLEX: Towards a Better Understanding of Black Box Model Explanations at the Subpopulation Level. - Gromit Yeuk-Yin Chan; Jun Yuan; Kyle Overton; Brian Barr; Kim Rees; Luis Gustavo Nonato; Enrico Bertini; Cláudio T. Silva (CoRR, 2020)

Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together. - Gromit Yeuk-Yin Chan; Enrico Bertini; Luis Gustavo Nonato; Brian Barr; Cláudio T. Silva (CoRR, 2020)

Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries. - Gromit Yeuk-Yin Chan; Luis Gustavo Nonato; Alice Chu; Preeti Raghavan; Viswanath Aluru; Cláudio T. Silva (IEEE Trans. Vis. Comput. Graph., 2020)

Interactive Audience Expansion On Large Scale Online Visitor Data. - Gromit Yeuk-Yin Chan; Tung Mai; Anup B. Rao; Ryan A. Rossi; Fan Du; Cláudio T. Silva; Juliana Freire (KDD, 2021)

GALE: Globally Assessing Local Explanations. - Peter Xenopoulos; Gromit Chan; Harish Doraiswamy; Luis Gustavo Nonato; Brian Barr; Cláudio T. Silva (TAG-ML, 2022)

SUBPLEX: A Visual Analytics Approach to Understand Local Model Explanations at the Subpopulation Level. - Jun Yuan; Gromit Yeuk-Yin Chan; Brian Barr; Kyle Overton; Kim Rees; Luis Gustavo Nonato; Enrico Bertini; Cláudio T. Silva (IEEE Computer Graphics and Applications, 2022)

Topological Representations of Local Explanations. - Peter Xenopoulos; Gromit Chan; Harish Doraiswamy; Luis Gustavo Nonato; Brian Barr; Cláudio T. Silva (CoRR, 2022)

Graph Learning with Localized Neighborhood Fairness. - April Chen; Ryan A. Rossi; Nedim Lipka; Jane Hoffswell; Gromit Chan; Shunan Guo; Eunyee Koh; Sungchul Kim; Nesreen K. Ahmed (CoRR, 2022)

A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Jane Hoffswell; Nedim Lipka; Chang Xiao; Gromit Chan; Eunyee Koh; Nesreen K. Ahmed (CoRR, 2022)

Discovery and Matching Numerical Attributes in Data Lakes. - Pattara Sukprasert; Gromit Yeuk-Yin Chan; Ryan A. Rossi; Fan Du; Eunyee Koh (IEEE Big Data, 2023)

Tabular Data to Image Generation: Benchmark Data, Approaches, and Evaluation. - Alex Tang; Gromit Chan; Ryan A. Rossi; Chang Xiao; Eunyee Koh (IEEE Big Data, 2023)

Detecting Email Components with Constraints: Expressive and Extensible Models in Answer Set Programming. - Gromit Yeuk-Yin Chan; Shunan Guo; Caroline Kim; Cole Connelly; Michelle Lee; Andrew Thomson; Eunyee Koh (CHI Extended Abstracts, 2023)

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. - 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 (INLG, 2023)

Fast Natural Language Based Data Exploration with Samples. - Shubham Agarwal 007; Gromit Yeuk-Yin Chan; Shaddy Garg; Tong Yu 001; Subrata Mitra (SIGMOD Conference Companion, 2023)

WhatsNext: Guidance-enriched Exploratory Data Analysis with Interactive, Low-Code Notebooks. - Chen Chen 080; Jane Hoffswell; Shunan Guo; Ryan A. Rossi; Yeuk-Yin Chan; Fan Du; Eunyee Koh; Zhicheng Liu 001 (VL/HCC, 2023)

A ML-based Approach for HTML-based Style Recommendation. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Jane Hoffswell; Nedim Lipka; Chang Xiao; Gromit Yeuk-Yin Chan; Eunyee Koh; Nesreen K. Ahmed (WWW (Companion Volume), 2023)

Epigraphics: Message-Driven Infographics Authoring. - Tongyu Zhou; Jeff Huang 002; Gromit Yeuk-Yin Chan (CHI, 2024)

Data Pictorial: Deconstructing Raster Images for Data-Aware Animated Vector Posters. - Tongyu Zhou; Gromit Yeuk-Yin Chan; Shunan Guo; Jane Hoffswell; Chang Xiao; Victor S. Bursztyn; Eunyee Koh (UIST (Adjunct Volume), 2024)

Satori: Towards Proactive AR Assistant with Belief-Desire-Intention User Modeling. - Chenyi Li; Guande Wu; Gromit Yeuk-Yin Chan; Dishita G. Turakhia; Sonia Castelo Quispe; Dong Li; Leslie Welch; Cláudio T. Silva; Jing Qian (CoRR, 2024)

Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback. - Guande Wu; Shunan Guo; Jane Hoffswell; Gromit Yeuk-Yin Chan; Ryan A. Rossi; Eunyee Koh (IEEE Trans. Vis. Comput. Graph., 2024)

FaDE: More Than a Million What-ifs Per Second. - Haneen Mohammed; Eugene Wu 002; Alexander Yao; Charlie Summers; Lampros Flokas; Gromit Yeuk-Yin Chan; Subrata Mitra; Hongbin Zhong (Proc. VLDB Endow., 2024)

Mountaineer: Topology-Driven Visual Analytics for Comparing Local Explanations. - Parikshit Solunke; Vitória Guardieiro; João Rulff; Peter Xenopoulos; Gromit Yeuk-Yin Chan; Brian Barr; Luis Gustavo Nonato; Cláudio T. Silva (IEEE Trans. Vis. Comput. Graph., 2024)

Satori 悟り: Towards Proactive AR Assistant with Belief-Desire-Intention User Modeling. - Chenyi Li; Guande Wu; Gromit Yeuk-Yin Chan; Dishita G. Turakhia; Sonia Castelo Quispe; Dong Li; Leslie Welch; Cláudio T. Silva; Jing Qian (CHI, 2025)

Comprehensive Sketching: Exploring Infographic Design Alternatives in Parallel. - Xinyu Shi; Shunan Guo; Jane Hoffswell; Gromit Yeuk-Yin Chan; Victor S. Bursztyn; Jian Zhao 010; Eunyee Koh (CHI Extended Abstracts, 2025)

CoPrompter: User-Centric Evaluation of LLM Instruction Alignment for Improved Prompt Engineering. - Ishika Joshi; Simra Shahid; Shreeya Manasvi Venneti; Manushree Vasu; Yantao Zheng; Yunyao Li 001; Balaji Krishnamurthy; Gromit Yeuk-Yin Chan (IUI, 2025)

PosterMate: Audience-driven Collaborative Persona Agents for Poster Design. - Donghoon Shin; Daniel Lee; Gary Hsieh; Gromit Yeuk-Yin Chan (CoRR, 2025)

TiVy: Time Series Visual Summary for Scalable Visualization. - Gromit Yeuk-Yin Chan; Luis Gustavo Nonato; Themis Palpanas; Cláudio T. Silva; Juliana Freire (CoRR, 2025)