👋Hi, I’m Yanming!

I’m a Ph.D. student in the Visual Analytics and Imaging Lab at Stony Brook University, advised by Professor Klaus Mueller. My research focuses on visual analytics, causal inference, explainable AI, human-computer interaction, and large language models. Currently, I’m working on projects involving the application of data causality to public health challenges, investigating explainable behaviors of reinforcement learning agents, alongside other ongoing research in diverse applications of visual analytics.

My doctoral research is supported by grants from the American Public Health Association (APHA), the New York State Strategic Partnership for Industrial Resurgence (SPIR) program, and the National Science Foundation (NSF).

Previously, I received my Bachelor’s degree in Mathematics and Applied Mathematics from Southwest Jiaotong University.

Recent News

Aug 2025 Our work, CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models, has been accepted as a Regular Paper in the upcoming issue of the IEEE Transactions on Visualization and Computer Graphics!

Jul 2025 Our work, XplainAct: Visualization for Personalized Intervention Insights, has been accepted as a Short Paper at IEEE VIS 2025.

May 2025 Honored to serve as a reviewer for the IEEE VIS 2025 full paper track.

Aug 2023 Our work on LLM-assisted causal model auditing has been accepted to the IEEE VIS 2023 NL-VIZ Workshop.

Aug 2022 Passed my Research Proficiency Exam, titled Visual Causality Experimenter.