Yanming Zhang
Scholar

Yanming Zhang

Google Scholar ID: fCagKogAAAAJ
PhD student, Stony Brook University
Visual AnalyticsCausal InferenceExplainable AI
Citations & Impact
All-time
Citations
11
 
H-index
2
 
i10-index
0
 
Publications
5
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • Publications: CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models (IEEE Transactions on Visualization and Computer Graphics); XplainAct: Visualization for Personalized Intervention Insights (IEEE VIS 2025); LLM-assisted causal model auditing (IEEE VIS 2023 NL-VIZ Workshop). Conference Presentations: Presented at the Epidemiology of Substance Use session and the poster session at the APHA 2025 Annual Meeting & Expo. Served as a reviewer for the IEEE VIS 2025 full paper track.
Research Experience
  • Currently 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.
Education
  • Ph.D.: Stony Brook University, Advisor: Professor Klaus Mueller; Bachelor's degree: Southwest Jiaotong University, Major: Mathematics and Applied Mathematics.
Background
  • Research Interests: Explainable AI, Causal Inference, Visual Analytics; Professional Field: Visual analytics, causal inference, explainable AI, human-computer interaction, and large language models; Background: A Ph.D. student in the Visual Analytics and Imaging Lab at Stony Brook University, advised by Professor Klaus Mueller.
Miscellany
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