Search Results - Xu, Zheng

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  1. 1
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    Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach by Xu, Zheng

    Published 2023
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  2. 2
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    Novel Problems in the Solid State Cathodoluminescence of Organic Materials by Xu, Zheng, Zhao, Suling

    Published 2012
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  3. 3
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    Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training by Xu, Zheng, Shafahi, Ali, Goldstein, Tom

    Published 2020
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  4. 4
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    In-Context Reward Adaptation for Robust Preference Modeling by Sun, Zhenyu, Xu, Zheng, Wei, Ermin

    Published 2026
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  5. 5
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    Smoothness of Shortest Isogenies to Frobenius Conjugates by Ouyang, Yi, Wei, Wei, Xu, Zheng

    Published 2026
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  6. 6
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    Adaptive ADMM with Spectral Penalty Parameter Selection by Xu, Zheng, Figueiredo, Mario A. T., Goldstein, Tom

    Published 2016
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  7. 7
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    An Empirical Evaluation of Federated Contextual Bandit Algorithms by Agarwal, Alekh, McMahan, H. Brendan, Xu, Zheng

    Published 2023
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  8. 8
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    Privacy-Preserving Instructions for Aligning Large Language Models by Yu, Da, Kairouz, Peter, Oh, Sewoong, Xu, Zheng

    Published 2024
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  9. 9
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    A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs by McMahan, H. Brendan, Xu, Zheng, Zhang, Yanxiang

    Published 2024
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  10. 10
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    Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning by Jhunjhunwala, Divyansh, Sharma, Pranay, Xu, Zheng, Joshi, Gauri

    Published 2025
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  11. 11
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    Randomization Techniques to Mitigate the Risk of Copyright Infringement by Chen, Wei-Ning, Kairouz, Peter, Oh, Sewoong, Xu, Zheng

    Published 2024
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  12. 12
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    Stabilizing Adversarial Nets With Prediction Methods by Yadav, Abhay, Shah, Sohil, Xu, Zheng, Jacobs, David, Goldstein, Tom

    Published 2017
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  13. 13
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    Efficient and Private Federated Learning with Partially Trainable Networks by Sidahmed, Hakim, Xu, Zheng, Garg, Ankush, Cao, Yuan, Chen, Mingqing

    Published 2021
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  14. 14
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    Beyond Uniform Lipschitz Condition in Differentially Private Optimization by Das, Rudrajit, Kale, Satyen, Xu, Zheng, Zhang, Tong, Sanghavi, Sujay

    Published 2022
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  15. 15
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    PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter by Xiao, Junfei, Xu, Zheng, Yuille, Alan, Yan, Shen, Wang, Boyu

    Published 2024
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  16. 16
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    Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization by Xu, Zheng, Gong, Yulu, Zhou, Yanlin, Bao, Qiaozhi, Qian, Wenpin

    Published 2024
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  17. 17
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    Prompt Public Large Language Models to Synthesize Data for Private On-device Applications by Wu, Shanshan, Xu, Zheng, Zhang, Yanxiang, Zhang, Yuanbo, Ramage, Daniel

    Published 2024
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  18. 18
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    HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs by Makni, Mehdi, Behdin, Kayhan, Xu, Zheng, Ponomareva, Natalia, Mazumder, Rahul

    Published 2025
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  19. 19
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    Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs by Tan, Bowen, Xu, Zheng, Xing, Eric, Hu, Zhiting, Wu, Shanshan

    Published 2025
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  20. 20
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    Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications by Zhang, Yanxiang, Xu, Zheng, Wu, Shanshan, Zhang, Yuanbo, Ramage, Daniel

    Published 2025
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