Gromit Yeuk-Yin Chan

Research Scientist

San Jose

My name is Gromit Yeuk-Yin CHAN (陳若然), a Research Scientist in Adobe Research.
I received my PhD in Computer Science from New York University in 2021, advised by prof. Claudio T. Silva and prof. Juliana Freire. Before that, I obtained my double degree in Computer Engineering and Business Management from HKUST in 2016. My previous research focus had been mainly in the area of visualization and data management, including large scale data visualization, Machine Learning algorithms with data sketching and distributed computing, and visual analytics systems. As a research scientist, I develop and transfer database, visualization, and HCI technologies to Adobe Experience Cloud.

Here are some of the projects that keep me busy:

  • Generative AI Applications On Human Computer Interactions
    Large Language Model (LLM) Based Graphic Content Generation and Creativity Support Tools.
  • Generative AI Applications On Data Management
    Industry Scaled Text-to-SQL Pipelines, Query Centric Machine Learning.

I am constantly looking for interns and collaborators to work on research projects in DB/VIS/HCI. Please send me an email to reach out and learn more.

Personal homepage: http://gromitchan.com/

Publications

Epigraphics: Message-Driven Infographics Authoring

Zhou, T., Huang, J., Chan, G. (May. 13, 2024)

Best Paper Honorable Mention Award

ACM Human Factors in Computing Systems (CHI 2024)

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

Wu, G., Guo, S., Hoffswell, J., Chan, G., Rossi, R., Koh, E. (Oct. 23, 2023)

IEEE VIS 2023

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

Chen, C., Hoffswell, J., Guo, S., Rossi, R., Chan, G., Du, F., Koh, E., Liu, L. (Oct. 3, 2023)

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

Fast Natural Language Based Data Exploration with Samples

Agarwal, S., Chan, G., Garg, S., Yu, T., Mitra, S. (Jun. 18, 2023)

International Conference on Management of Data (SIGMOD)

Interactive Audience Expansion On Large Scale Online Visitor Data

Chan, G., Mai, T., Rao, A., Rossi, R., Du, F., Silva, C., Freire, J. (Aug. 14, 2021)

ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Real-Time Clustering for Large Sparse Online Visitor Data

Chan, G., Du, F., Rossi, R., Rao, A., Koh, E., Silva, C., Freire, J. (Jan. 20, 2020)

Proceedings of The Web Conference (WWW)