Kwan-Liu Ma

Professor

University of California, Davis

United States

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About

Professor Kwan-Liu Ma is a faculty member at the University of California Davis, USA. His research interests encompass visual analytics, model validation, and the intersection of generative AI with visualization learning. He has contributed to various topics, including the visualization of multivariate networks and the development of frameworks for enhancing data interpretation in large-scale datasets.

Articles (23)

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2025

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2023

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2023

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2022

Collaborators (8)

Dongyu Liu

Assistant Professor

University of California, Davis

UNITED STATES

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Hanna Hauptmann

Utrecht University

NETHERLANDS

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Anders Ynnerman

SWEDEN

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Senthil Chandrasegaran

Delft University of Technology

NETHERLANDS

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Mennatallah El‐Assady

GERMANY

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Daniel Keim

University of Konstanz

GERMANY

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Stefan Zellmann

University of Cologne

GERMANY

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Jian Zhao

University of Waterloo

CANADA

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Kwan-Liu Ma

Research Interests

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About

Articles (23)

Visual Analytics of Multivariate Networks With Representation Learning and Composite Variable Construction

AttributionScanner: A Visual Analytics System for Model Validation With Metadata-Free Slice Finding

Bridging Theory and Practice: A Multiphase Study of GenAI-Assisted Visualization Learning

HINTs: Sensemaking on Large Collections of Documents With Hypergraph Visualization and INTelligent Agents

HyperFLINT: Hypernetwork‐based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels

Beyond ExaBricks: GPU Volume Path Tracing of AMR Data

Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning

Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination

Distributed Neural Representation for Reactive In Situ Visualization

SpreadLine: Visualizing Egocentric Dynamic Influence

Towards Dataset-scale and Feature-oriented Evaluation of Text Summarization in Large Language Model Prompts

Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data

Communicating Uncertainty and Risk in Air Quality Maps

A Deep Generative Model for Reordering Adjacency Matrices

Memory‐Efficient GPU Volume Path Tracing of AMR Data Using the Dual Mesh

A Predictive Visual Analytics System for Studying Neurodegenerative Disease Based on DTI Fiber Tracts

Scalable Comparative Visualization of Ensembles of Call Graphs

ChartStory: Automated Partitioning, Layout, and Captioning of Charts into Comic-Style Narratives

Pushing Visualization Research Frontiers: Essential Topics Not Addressed by Machine Learning

Interactive Volume Visualization Via Multi-Resolution Hash Encoding Based Neural Representation

Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks

Umbra: A Visual Analysis Approach for Defense Construction Against Inference Attacks on Sensitive Information

Collaborators (8)

Dongyu Liu

Hanna Hauptmann

Anders Ynnerman

Senthil Chandrasegaran

Mennatallah El‐Assady

Daniel Keim

Stefan Zellmann

Jian Zhao

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