Junyi Zhu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 10

Top Topics

Expectation Maximization

Diffusion Models

Top Venues

Tiny Papers @ ICLR

Publications

Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. CoRR (2024)
Jiayang Shi, Junyi Zhu, Daniël Maria Pelt, Kees Joost Batenburg, Matthew B. Blaschko
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction. CoRR (2024)
Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. CoRR (2024)
Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko
Rescaling Intermediate Features Makes Trained Consistency Models Perform Better. Tiny Papers @ ICLR (2024)
Junyi Zhu, Shuochen Liu, Yu Yu, Bo Tang, Yibo Yan, Zhiyu Li, Feiyu Xiong, Tong Xu, Matthew B. Blaschko
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models. CoRR (2024)
Junyi Zhu, Matthew B. Blaschko
Improving Differentially Private SGD via Randomly Sparsified Gradients. Trans. Mach. Learn. Res. 2023 (2023)
Junyi Zhu, Xingchen Ma, Matthew B. Blaschko
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization. CVPR (2023)
Junyi Zhu, Xingchen Ma, Matthew B. Blaschko
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization. CoRR (2023)
Junyi Zhu, Ruicong Yao, Matthew B. Blaschko
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning. CoRR (2023)
Junyi Zhu, Ruicong Yao, Matthew B. Blaschko
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning. ICML (2023)