Scholar
Jun Yuan
Google Scholar ID: P65vBE4AAAAJ
Apple
Citations & Impact
Citations
393
H-index
8
i10-index
8
Publications
16
Co-authors
9
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published several papers, including:
- - VibE: A Visual Analytics Workflow for Semantic Error Analysis of CVML Models at Subgroup Level
- - Towards a Better Evaluation of 3D CVML Algorithms: Immersive Debugging of a Localization Model
- - Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets
- - iSEA: An Interactive Pipeline of Semantic Error Analysis for NLP Models
- - SUBPLEX: A Visual Analytics Approach to Understand Local Model Explanations at the Subpopulation Level
- - Context Sight: Model Understanding and Debugging via Interpretable Context
Research Experience
- Conducted research at the Visualization Imaging and Data Analysis Center (VIDA) Lab, New York University; gave a guest lecture at the University of California, Berkeley, class DS100 Data, for “Visualization II” in June 2024.
Education
- Obtained a Ph.D. degree in Computer Science from New York University, advised by Prof. Enrico Bertini; received a bachelor’s degree in Software Engineering from Fudan University, Shanghai, China.
Background
- Currently working at Apple Vision Products Group, designing and developing interactive visual analytics systems to help machine learning model developers understand their model's behaviors and performance. Research interests lie in the intersection of Explainable AI (xAI) and Data Visualization.
Miscellany
- Links to CV, Google Scholar, and LinkedIn are provided on the personal website.
