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Ruihan Wu
Ruihan Wu
University of California, San Diego
Verifisert e-postadresse på ucsd.edu - Startside
Tittel
Sitert av
Sitert av
År
Product kernel interpolation for scalable Gaussian processes
J Gardner, G Pleiss, R Wu, K Weinberger, A Wilson
International Conference on Artificial Intelligence and Statistics, 1407-1416, 2018
912018
Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data
C Miles, A Bohrdt, R Wu, C Chiu, M Xu, G Ji, M Greiner, KQ Weinberger, ...
Nature Communications 12 (1), 3905, 2021
602021
Online adaptation to label distribution shift
R Wu, C Guo, Y Su, KQ Weinberger
Advances in Neural Information Processing Systems 34, 11340-11351, 2021
592021
On Hiding Neural Networks Inside Neural Networks
C Guo, R Wu, KQ Weinberger
arXiv preprint arXiv:2002.10078, 2020
40*2020
Making paper reviewing robust to bid manipulation attacks
R Wu, C Guo, F Wu, R Kidambi, L Van Der Maaten, K Weinberger
International Conference on Machine Learning, 11240-11250, 2021
292021
Quadratic upper bound for recursive teaching dimension of finite VC classes
L Hu, R Wu, T Li, L Wang
Conference on Learning Theory, 1147-1156, 2017
252017
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning
R Wu, X Chen, C Guo, KQ Weinberger
Uncertainty in Artificial Intelligence, 2293-2303, 2023
212023
Scalable lattice influence maximization
W Chen, R Wu, Z Yu
IEEE Transactions on Computational Social Systems 7 (4), 956-970, 2020
202020
Spatial-Temporal Graph Neural Network For Interaction-Aware Vehicle Trajectory Prediction
J Chen, Y Wang, R Wu, M Campbell
2021 IEEE 17th International Conference on Automation Science and …, 2021
172021
Does Label Differential Privacy Prevent Label Inference Attacks?
R Wu, JP Zhou, KQ Weinberger, C Guo
International Conference on Artificial Intelligence and Statistics 206, 4336 …, 2023
162023
Dumbnet: A smart data center network fabric with dumb switches
Y Li, D Wei, X Chen, Z Song, R Wu, Y Li, X Jin, W Xu
Proceedings of the Thirteenth EuroSys Conference, 1-13, 2018
132018
Fixes that fail: Self-defeating improvements in machine-learning systems
R Wu, C Guo, A Hannun, L van der Maaten
Advances in Neural Information Processing Systems 34, 11745-11756, 2021
112021
Large Scale Knowledge Washing
Y Wang, R Wu, Z He, X Chen, J McAuley
arXiv preprint arXiv:2405.16720, 2024
72024
Differentially Private Multi-Party Data Release for Linear Regression
R Wu, X Yang, Y Yao, J Sun, T Liu, KQ Weinberger, C Wang
arXiv preprint arXiv:2206.07998, 2022
42022
Evaluating Deep Unlearning in Large Language Models
R Wu, C Yadav, R Salakhutdinov, K Chaudhuri
arXiv preprint arXiv:2410.15153, 2024
22024
Large-Scale Public Data Improves Differentially Private Image Generation Quality
R Wu, C Guo, K Chaudhuri
arXiv preprint arXiv:2309.00008, 2023
22023
On Speeding Up Language Model Evaluation
JP Zhou, CK Belardi, R Wu, T Zhang, CP Gomes, W Sun, KQ Weinberger
arXiv preprint arXiv:2407.06172, 2024
12024
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation
R Wu, S Datta, Y Su, D Baby, YX Wang, KQ Weinberger
arXiv preprint arXiv:2402.03545, 2024
12024
New Rates in Stochastic Decision-Theoretic Online Learning under Differential Privacy
R Wu, YX Wang
arXiv preprint arXiv:2502.10997, 2025
2025
Privacy-Preserving Retrieval Augmented Generation with Differential Privacy
T Koga, R Wu, K Chaudhuri
arXiv preprint arXiv:2412.04697, 2024
2024
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Artikler 1–20