Research

I develop visualization and interactive analytics methods that help people understand complex data, systems, and models. My work connects visual analytics, human-computer interaction, and intelligent data systems.

Visual Analytics

Interactive visual interfaces for exploring large-scale, multivariate, graph, trajectory, and spatiotemporal data.

System Observability

Visual analysis tools that reveal the behavior, performance, and execution flow of complex data and computing systems.

Human–Machine Collaboration

Human-centered interaction techniques that combine expert knowledge with machine intelligence for data analysis and decision-making.

Urban Informatics

Data-driven approaches for understanding urban mobility, street environments, and public services through visual analysis.

Interpretable Machine Learning

Visualization and interaction methods for interpreting machine-learning models, diagnosing model behavior, and supporting trustworthy AI.

LLM Inference Acceleration

Data-driven analysis and system-oriented methods for understanding and improving large-language-model inference efficiency.

Selected work

Browse the complete publication record for papers, project resources, code, and presentation materials.

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