Judy Hanwen Shen

Computer Science · Physical Sciences

9h-index642citations34works1.52yr avg
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Research Topics

Topic Modeling(8), Explainable Artificial Intelligence (XAI)(8), Privacy-Preserving Technologies in Data(6), Multimodal Machine Learning Applications(4), Speech and dialogue systems(4)

Publications34 total

Societal Impacts Research Requires Benchmarks for Creative Composition Tasks
arXiv (Cornell University)·2025Open Access
Algorithms with Calibrated Machine Learning Predictions
arXiv (Cornell University)·2025Open Access
Towards Data-Centric RLHF: Simple Metrics for Preference Dataset Comparison
arXiv (Cornell University)·2024Open Access
Multigroup Robustness
arXiv (Cornell University)·2024Open Access
Unifying Corroborative and Contributive Attributions in Large Language Models
2024· 2 cited
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 7 citedOpen Access
Unifying Corroborative and Contributive Attributions in Large Language Models
arXiv (Cornell University)·2023· 1 citedOpen Access
Unlocking Accuracy and Fairness in Differentially Private Image Classification
arXiv (Cornell University)·2023· 4 citedOpen Access
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance
arXiv (Cornell University)·2023Open Access
Improved statistical benchmarking of digital pathology models using pairwise frames evaluation
arXiv (Cornell University)·2023· 6 citedOpen Access
Bidding Strategies for Proportional Representation in Advertisement Campaigns
arXiv (Cornell University)·2023Open Access
Abstract 6616: Development of a high-throughput image processing pipeline for multiplex immunofluorescence whole slide images at scale
Cancer Research·2023
Longitudinal Complex Dynamics of Labour Markets Reveal Increasing Polarisation
arXiv (Cornell University)·2022· 1 citedOpen Access
Dictionary of Titles
Harvard Dataverse·2022Open Access
Leximax Approximations and Representative Cohort Selection
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)·2022· 1 citedOpen Access
Differentially Private Set Union
Journal of Privacy and Confidentiality·2021Open Access
Accuracy, Interpretability, and Differential Privacy via Explainable\n Boosting
arXiv (Cornell University)·2021· 7 citedOpen Access
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
arXiv (Cornell University)·2021· 6 citedOpen Access
Fast and Memory Efficient Differentially Private-SGD via JL Projections
arXiv (Cornell University)·2021· 8 citedOpen Access
Abstract 2102: Interpretable machine learning for perturbation biology
Cancer Research·2020· 1 cited
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Frequent Co-authors

Rosalind W. Picard(7), Natasha Jaques(6), Asma Ghandeharioun(6), Àgata Lapedriza(6), Craig Ferguson(5), Janardhan Kulkarni(5), Bjarke Felbo(4), Iyad Rahwan(4), Omer Reingold(4), Shixiang Gu(3), N. S. Jones(3), Sivakanth Gopi(3), Zhiqi Bu(3), Charlotte Peale(3), Noah Jones(2), Ziv Epstein(2), Blakeley H. Payne(2), Abhimanyu Dubey(2), Matthew Groh(2), Nick Obradovich(2)