‪Jacqueline Yau‬ - ‪Google Scholar‬

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Co-authors

Olga RussakovskyAssociate Professor, Princeton UniversityVerified email at cs.princeton.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Kaiyu YangCalifornia Institute of TechnologyVerified email at caltech.edu
Jia DengPrinceton UniversityVerified email at cs.princeton.edu

Jacqueline Yau

Jacqueline Yau

Stanford University

Verified email at cs.stanford.edu - Homepage

Computer vision privacy & fairness graph representation learning AI/ML


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Study of Face Obfuscation in ImageNet K Yang, J Yau, L Fei-Fei, J Deng, O Russakovsky International Conference on Machine Learning (ICML), 2022	134	2022
Learning Efficient Hybrid Particle-continuum Representations of Non-equilibrium N-body Systems T Wu, M Sun, HGJ Chou, PR Samala, S Cholsaipant, S Kivelson, J Yau, ... NeurIPS 2022 AI for Science: Progress and Promises, 0	1
Accelerating predictive modeling of laser-driven ion acceleration with deep learning J Chou, T Wu, S Kivelson, J Yau, R Ying, EP Alves, J Leskovec, F Fiuza APS Division of Plasma Physics Meeting Abstracts 2021, TO05. 010, 2021		2021
Partial Symmetry Detection in Large-Scale 3D Data Collections J Yau Stanford University, 2019		2019
Organization Prediction for Scientists and Scholars for OAG Data T Le, J Yau		2019

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