Shiaofen Fang

Computer Graphics and Visualization Techniques Data Visualization and Analytics 3D Shape Modeling and Analysis Functional Brain Connectivity Studies Computational Geometry and Mesh Generation

Publications

150

Citations

1,630

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 1988

Research summary

AI-generated

Shiaofen Fang works in computer science with a focus on data visualization, computer graphics, and the analysis of machine learning models. Recent work applies these tools to health-related prediction problems (such as surgical outcomes and Alzheimer's disease progression), fairness and bias in AI systems, and visual analytics for exploring complex data. Earlier and continuing work covers 3D shape modeling and geometric analysis.

Data visualization and visual analyticsMachine learning model interpretation and bias analysisMedical and biomedical data analysis3D shape modeling and computational geometryAI applications in education

Publication activity has been fairly steady over the past decade, fluctuating between roughly three and eight papers per year with an average of about five in recent years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 4.8/year recently

Recent publications

Learning a continuous progression trajectory of amyloid in Alzheimer's disease
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · 2026
Who Should Have Surgery? A Comparative Study of GenAI vs Supervised ML for CRS Surgical Outcome Prediction
arXiv (Cornell University) · 2026
Machine Learning Based Prediction of Surgical Outcomes in Chronic Rhinosinusitis from Clinical Data
arXiv (Cornell University) · 2026
Interactive Mitigation of Biases in Machine Learning Models for Undergraduate Student Admissions
AI · 2025
A Subspace Projection Based Technique for Visualizing Machine Learning Models
2025
Generating Descriptive Explanations of Machine Learning Models Using LLM
2024
Bias analysis of AI models for undergraduate student admissions
Neural Computing and Applications · 2024
A General Framework for Visualizing Machine Learning Models
Preprints.org · 2024
Analysis of AI Models for Student Admissions: A Case Study
2023
Visual Analytics and Exploration of Calcium Transient Imaging Data using Event-Based Clustering
2023
Classification and Prediction on Cardiovascular disease datasets
2023
AI-Augmented Peer Led Team Learning for STEM Education
2023
Time-to-event modeling of subreddits transitions to r/SuicideWatch
arXiv (Cornell University) · 2023
Efficient Face Generation and Clustering Using Generative Adversarial Networks
2023
Progressive Iterative Approximation of Non-Uniform Cubic B-Spline Curves and Surfaces via Successive Over-Relaxation Iteration
Mathematics · 2022

Publishes in

arXiv (Cornell University)×3
International Journal of Computational Biology and Drug Design×2
Lecture notes in computer science×2
PMC×2
Recent Patents on Engineering×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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