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ORCIDJunyi Zhu 0002
Person information
- affiliation: KU Leuven, Belgium
Other persons with the same name
- Junyi Zhu 0001
![[0000-0001-6166-6138]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6166-6138")
— Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA - Junyi Zhu 0003 — Southwest University, Chongqing, China
- Junyi Zhu 0004 — Zhengzhou University, Zhengzhou, Henan, China
- Junyi Zhu 0005 — South China University of Technology, China
- Junyi Zhu 0006 — Boston University, College of Arts and Sciences, MA, USA
- Junyi Zhu 0007 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China
- Junyi Zhu 0008 — Shenzhen Institute of Information Technology, School of Finance and Economics, China (and 1 more)
- Junyi Zhu 0009 — Taiyuan University of Technology, College of Information and Computer, China
- Junyi Zhu 0010 — Chinese University of Hong Kong, Shenzhen, China
- Junyi Zhu 0011 — Soochow University, Institute of Neuroscience, Suzhou, China
- Junyi Zhu 0012 — Guangzhou University, Cyberspace Institute of Advanced Technology, China
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Journal Articles
- 2023
[j1]Junyi Zhu, Matthew B. Blaschko:
Improving Differentially Private SGD via Randomly Sparsified Gradients. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2024
- [c7]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. EMNLP (Findings) 2024: 11740-11758 - [c6]Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko:
Rescaling Intermediate Features Makes Trained Consistency Models Perform Better. Tiny Papers @ ICLR 2024 - 2023
- [c5]Junyi Zhu, Xingchen Ma, Matthew B. Blaschko:
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization. CVPR 2023: 24542-24551 - [c4]Junyi Zhu, Ruicong Yao, Matthew B. Blaschko:
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning. ICML 2023: 43228-43257 - 2021
- [c3]Junyi Zhu, Matthew B. Blaschko:
R-GAP: Recursive Gradient Attack on Privacy. ICLR 2021 - 2019
- [c2]Danial Kamran, Junyi Zhu, Martin Lauer:
Learning Path Tracking for Real Car-like Mobile Robots From Simulation. ECMR 2019: 1-6 - [c1]Haohao Hu, Junyi Zhu, Sascha Wirges, Martin Lauer:
Localization in Aerial Imagery with Grid Maps using LocGAN. ITSC 2019: 2860-2865
Informal and Other Publications
- 2024
- [i9]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 abs/2404.02241 (2024) - [i8]Jiayang Shi, Junyi Zhu, Daniël Maria Pelt, Kees Joost Batenburg, Matthew B. Blaschko:
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction. CoRR abs/2405.02509 (2024) - [i7]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 abs/2406.16069 (2024) - [i6]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 abs/2407.00945 (2024) - 2023
- [i5]Junyi Zhu, Xingchen Ma, Matthew B. Blaschko:
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization. CoRR abs/2305.12557 (2023) - [i4]Junyi Zhu, Ruicong Yao, Matthew B. Blaschko:
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning. CoRR abs/2306.00127 (2023) - 2021
- [i3]Junyi Zhu, Matthew B. Blaschko:
Differentially Private SGD with Sparse Gradients. CoRR abs/2112.00845 (2021) - 2020
- [i2]Junyi Zhu, Matthew B. Blaschko:
R-GAP: Recursive Gradient Attack on Privacy. CoRR abs/2010.07733 (2020) - 2019
- [i1]Haohao Hu, Junyi Zhu, Sascha Wirges, Martin Lauer:
Localization in Aerial Imagery with Grid Maps using LocGAN. CoRR abs/1906.01540 (2019)
Coauthor Index
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