publications

2024

  1. arXiv
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    FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models
    Junyi Zhu*, Shuochen Liu*, Yu Yu, and 6 more authors
    2024
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  2. arXiv
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    Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
    Enshu Liu*, Junyi Zhu*, Zinan Lin, and 7 more authors
    2024
    * = equal contribution
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  3. Tiny Paper@ICLR
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    Rescaling Intermediate Features Makes Trained Consistency Models Perform Better
    Junyi Zhu, Zinan Lin, Enshu Liu, and 2 more authors
    2024
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  4. arXiv
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    Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction
    Jiayang Shi*, Junyi Zhu*, Daniel M. Pelt, and 2 more authors
    2024
    * = equal contribution
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2023

  1. CVPR
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    Confidence-aware Personalized Federated Learning via Variational Expectation Maximization
    Junyi Zhu*, Xingchen Ma*, and Matthew B. Blaschko
    2023
    * = equal contribution
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  2. ICML
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    Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
    Junyi Zhu, Ruicong Yao, and Matthew B. Blaschko
    2023
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  3. TMLR
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    Improving Differentially Private SGD via Randomly Sparsified Gradients
    Junyi Zhu, and Matthew B. Blaschko
    2023
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2021

  1. ICLR
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    R-GAP: Recursive Gradient Attack on Privacy
    Junyi Zhu, and Matthew B. Blaschko
    2021
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2019

  1. ITSC
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    Localization in Aerial Imagery with Grid Maps using LocGAN
    Haohao Hu, Junyi Zhu, Sascha Wirges, and 1 more author
    2019
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  2. ECMR
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    Learning path tracking for real car-like mobile robots from simulation
    Daniel Kamran, Junyi Zhu, and Martin Lauer
    2019
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