Glenn Fung

Computer Science · Physical Sciences

35h-index5.9kcitations123works9.52yr avg
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Research Topics

Face and Expression Recognition(19), Machine Learning and Data Classification(14), Machine Learning and Algorithms(11), Topic Modeling(9), Neural Networks and Applications(9)

Publications118 total

Linear programming with nonparametric penalty programs and iterated thresholding
Optimization methods & software·2022
Multi Resolution Analysis (MRA) for Approximate Self-Attention
arXiv (Cornell University)·2022· 1 citedOpen Access
Harvest – a System for Creating Structured Rate Filing Data from Filing PDFs
Proceedings of the AAAI Conference on Artificial Intelligence·2022· 1 citedOpen Access
Editorial: Artificial Intelligence in Insurance and Finance
Frontiers in Applied Mathematics and Statistics·2021· 3 citedOpen Access
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
arXiv (Cornell University)·2021· 3 citedOpen Access
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling.
2021
Domain Agnostic Few-Shot Learning For Document Intelligence
arXiv (Cornell University)·2021Open Access
Assessing Hail Risk for Property Insurers with a Dependent Marked Point Process
Journal of the Royal Statistical Society Series A (Statistics in Society)·2021· 7 cited
A Model for Zero-shot Text Multi-labeling Using Semantics-based Labels
2021· 1 cited
Document Classification and Information Extraction framework for Insurance Applications
2021· 7 cited
Efficient Document Image Classification Using Region-Based Graph Neural Network
arXiv (Cornell University)·2021· 5 citedOpen Access
Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection
arXiv (Cornell University)·2021Open Access
Weighting vectors for machine learning: numerical harmonic analysis\n applied to boundary detection
arXiv (Cornell University)·2021· 3 citedOpen Access
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
arXiv (Cornell University)·2021· 29 citedOpen Access
A Simple yet Brisk and Efficient Active Learning Platform for Text Classification
arXiv (Cornell University)·2021· 1 citedOpen Access
Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center
arXiv (Cornell University)·2021· 1 citedOpen Access
Low Resource Quadratic Forms for Knowledge Graph Embeddings
2021Open Access
SGD Distributional Dynamics of Three Layer Neural Networks
arXiv (Cornell University)·2020· 2 citedOpen Access
Simplicial 2-Complex Convolutional Neural Nets
arXiv (Cornell University)·2020· 8 citedOpen Access
Simplicial 2-Complex Convolutional Neural Networks
2020· 12 cited
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Frequent Co-authors

Rómer Rosales(13), O. L. Mangasarian(11), Jennifer Dy(9), R. Bharat Rao(8), Balaji Krishnapuram(7), Shipeng Yu(6), Philippe Lambin(5), Murat Dündar(4), Sriram Krishnan(4), Bharat Rao(4), Yan Yan(3), Cary Oberije(3), Faisal Farooq(3), Jinbo Bi(3), Mark Schmidt(2), Yan Yan(2), Luca Bogoni(2), Jonathan Stoeckel(2), Jude Shavlik(2), Mahdokht Masaeli(2)