Candidate Papers

I have listed new candidate papers from IEEE Vis 2025 ( https://ieeevis.org/year/2025/info/program/papers_list ) .

However, we may not be able to list all the papers our lab may be interested in here. 

Because our lab research mainly focuses on scientific datasets, AI- or LLM-assisted approaches, AI-based approach explanations, and uncertainty quantification, you can also try searching for candidate papers in IEEE VIS 2025 using those related keywords.   

• IEEE VIS 2025

  • NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting

  • VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization

  • ConceptViz: A Visual Analytics Approach for Exploring Concepts in Large Language Models

  • OW-CLIP: Data-Efficient Visual Supervision for Open-World Object Detection via Human-AI Collaboration

  • An In-Situ Visual Analytics Framework for Deep Neural Networks

  • A Simulation-based Approach for Quantifying the Impact of Interactive Label Correction for Machine Learning

  • MoE-INR: Implicit Neural Representation with Mixture-of-Experts for Time-Varying Volumetric Data Compression

  • Improving Neural Volume Rendering via Learning View-Dependent Integral Approximation

  • NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views

  • Distributed Neural Representation for Reactive In Situ Visualization

  • SimVecVis: A Dataset for Enhancing MLLMs in Visualization Understanding

  • Towards Difficulty-Aware Analysis of Deep Neural Networks

  • CLAImate: AI-Enabled Climate Change Communication through Personalized and Localized Narrative Visualizations

  • Enhancing XAI Interpretation through a Reverse Mapping from Insights to Visualizations

  • Qualitative Study for LLM-assisted Design Study Process: Strategies, Challenges, and Roles

  • HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery

  • VolSegGS: Segmentation and Tracking in Dynamic Volumetric Scenes via Deformable 3D Gaussians

  • Two-Level Transfer Functions Using t-SNE for Data Segmentation in Direct Volume Rendering

  • ProactiveVA: Proactive Visual Analytics with LLM-based UI Agent

  • HINTs: Sensemaking on large collections of documents with Hypergraph visualization and INTelligent agents

  • LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution

  • CD-TVD: Contrastive Diffusion for 3D Super-Resolution with Scarce High-Resolution Time-Varying Data

  • TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields

  • VisMoDAl: Visual Analytics for Evaluating and Improving Corruption Robustness of Vision-Language Models

  • InsightChaser: Enhancing Visual Reasoning of Sports Tactical Visualization with Visual-Text Linking

  • Deciphering Explicit and Implicit Features for Reliable, Interpretable, and Actionable User Churn Prediction in Online Video Games

  • DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models

  • Automatic Semantic Alignment of Flow Pattern Representations for Exploration with Large Language Models

  • Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis

  • DeepVIS: Bridging Natural Language and Data Visualization Through Step-wise Reasoning

  • Natural Language-Driven Viewpoint Navigation for Volume Exploration via Semantic Block Representation

  • GSCache: Real-Time Radiance Caching for Volume Path Tracing using 3D Gaussian Splatting

  • AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation

  • TexGS-VolVis: Expressive Scene Editing for Volume Visualization via Textured Gaussian Splatting

  • Visual Analytics for Explainable and Trustworthy Artificial Intelligence

  • A Typology of Decision-Making Tasks for Visualization

  • Vector Field Synthesis with Sparse Streamlines Using Diffusion Model

  • AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation

• IEEE VIS 2024

  • VoxAR: Adaptive Visualization of Volume Rendered Objects in Optical See-Through Augmented Reality

  • LEVA: Using Large Language Models to Enhance Visual Analytics

  • What University Students Learn In Visualization Classes

  • Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network

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

  • Team-Scouter: Simulative Visual Analytics of Soccer Player Scouting

  • FMLens: Towards Better Scaffolding the Process of Fund Manager Selection in Fund Investments

  • An Empirical Evaluation of the GPT-4 Multimodal Language Model on Visualization Literacy Tasks

  • Wasserstein Dictionaries of Persistence Diagrams

  • StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization

  • Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction Tuning

  • Sportify: Question Answering with Embedded Visualizations and Personified Narratives for Sports Video

  • This is the Table I Want! Interactive Data Transformation on Desktop and in Virtual Reality

  • De-cluttering Scatterplots with Integral Images

  • Fine-Tuned Large Language Model for Visualization System: A Study on Self-Regulated Learning in Education

  • MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors

  • Smartboard: Visual Exploration of Team Tactics with LLM Agent

  • Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models

  • PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets

  • Cell2Cell: Explorative Cell Interaction Analysis in Multi-Volumetric Tissue Data

  • PUREsuggest: Citation-based Literature Search and Visual Exploration with Keyword-controlled Rankings

  •  VisEval: A Benchmark for Data Visualization in the Era of Large Language Models

  • LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models

  • Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage

  • VADIS: A Visual Analytics Pipeline for Dynamic Document Representation and Information Seeking

  • Designing for Visualization in Motion: Embedding Visualizations in Swimming Videos

  • SLInterpreter: An Exploratory and Iterative Human-AI Collaborative System for GNN-based Synthetic Lethal Prediction

  • Enhancing Data Literacy On-demand: LLMs as Guides for Novices in Chart Interpretation

  • Promises and Pitfalls: Using Large Language Models to Generate Visualization Items

  • KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-based Implicit Neural Representation

  • How Good (Or Bad) Are LLMs in Detecting Misleading Visualizations

  • Fast Comparative Analysis of Merge Trees Using Locality-Sensitive Hashing

  • Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data

  • DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic

  • KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts

  • Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation

  • MARLens: Understanding Multi-agent Reinforcement Learning for Traffic Signal Control via Visual Analytics

  • SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification

• IEEE VIS 2023

  • Fast Compressed Segmentation Volumes for Scientific Visualization

  • Vortex Lens: Interactive Vortex Core Line Extraction using Observed Line Integral Convolution

  • Guided Visual Analytics for Image Selection in Time and Space 

  • An Image-based Exploration and Query System for Large Visualization Collections via Neural Image Embedding 

  • Image Collage on Arbitrary Shape via Shape-Aware Slicing and Optimization 

  • VisImages: A Fine-Grained Expert-Annotated Visualization Dataset 

  • A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision 

  • VideoPro: A Visual Analytics Approach for Interactive Video Programming

  • Character-Oriented Design for Visual Data Storytelling

  • EVNet: An Explainable Deep Network for Dimension Reduction

  • Narrative In Situ Visual Analysis for Large-Scale Ocean Eddy Evolution 

  • Technology Trends and Challenges for Large-Scale Scientific Visualization

  • PhraseMap: Attention-based Keyphrases Recommendation for Information Seeking

  • AttentionViz: A Global View of Transformer Attention

  • Visual Explanation for Open-domain Question Answering with BERT 

  • CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models

  • PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation

  • DMiner: Dashboard Design Mining and Recommendation

  • LiberRoad: Probing into the Journey of Chinese Classics through Visual Analytics

  • HoopInSight: Analyzing and Comparing Basketball Shooting Performance Through Visualization

  • Analysis of Wildfire Visualization Systems for Research and Training: Are They up for the Challenge of the Current State of Wildfires?

  • DocFlow: A Visual Analytics System for Question-based Document Retrieval and Categorization

  • CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network

  • Deep Hierarchical Super Resolution for Scientific Data

  • Interactive Volume Visualization via Multi-Resolution Hash Encoding based Neural Representation

  • Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization

  • Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination

  • PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data