Junyi Zhu

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Matthew BlaschkoKU LeuvenPotvrđena adresa e-pošte na esat.kuleuven.be
Martin LauerKarlsruhe Institute of TechnologyPotvrđena adresa e-pošte na kit.edu
Xingchen MaAmazonPotvrđena adresa e-pošte na amazon.de
Zinan LinMicrosoft Research (Redmond), Carnegie Mellon UniversityPotvrđena adresa e-pošte na microsoft.com
Enshu LiuTsinghua UniversityPotvrđena adresa e-pošte na mails.tsinghua.edu.cn
Danial KamranInstitute for Measurement and Control Systems, Karlsruhe Institute of TechnologyPotvrđena adresa e-pošte na kit.edu
Guohao Dai（戴国浩）Associate Professor of Shanghai Jiao Tong UniversityPotvrđena adresa e-pošte na sjtu.edu.cn
Xuefei NingTsinghua UniversityPotvrđena adresa e-pošte na mail.tsinghua.edu.cn
Yu Wang (汪玉)Department of Electronic Engineering, Tsinghua University, ChinaPotvrđena adresa e-pošte na mail.tsinghua.edu.cn
Shengen YanDepartment of Electronic Engineering, Tsinghua University, ChinaPotvrđena adresa e-pošte na tsinghua.edu.cn
Sergey YekhaninMicrosoftPotvrđena adresa e-pošte na microsoft.com
Yibo YANHKUST(GZ) / HKUSTPotvrđena adresa e-pošte na u.nus.edu
Feiyu XiongInstitute for Advanced Algorithms Research, ShanghaiPotvrđena adresa e-pošte na iaar.ac.cn
Shuochen LiuUniversity of Science and Technology of ChinaPotvrđena adresa e-pošte na mail.ustc.edu.cn
Sascha WirgesBosch AI ResearchPotvrđena adresa e-pošte na wirges.xyz
Haohao HuKarlsruhe Institute of TechnologyPotvrđena adresa e-pošte na kit.edu
Kees Joost BatenburgProfessor of Imaging and VisualizationPotvrđena adresa e-pošte na liacs.leidenuniv.nl
Jiayang ShiLeiden UniversityPotvrđena adresa e-pošte na liacs.leidenuniv.nl
Daniël M. PeltAssistant Professor at Leiden UniversityPotvrđena adresa e-pošte na liacs.leidenuniv.nl
Huazhong YangProfessor of Electronics Engineering, Tsinghua UniversityPotvrđena adresa e-pošte na tsinghua.edu.cn

Prati

Junyi Zhu

Samsung Research UK (SRUK)

Potvrđena adresa e-pošte na samsung.com - Početna stranica

Generative Models Distributed Learning Efficient Algorithms Privacy-Preserving Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
R-GAP: Recursive Gradient Attack on Privacy J Zhu, M Blaschko International Conference on Learning Representations (ICLR), 2020	152	2020
Learning path tracking for real car-like mobile robots from simulation D Kamran, J Zhu, M Lauer 2019 European Conference on Mobile Robots (ECMR), 1-6, 2019	27	2019
Confidence-aware personalized federated learning via variational expectation maximization J Zhu, X Ma, MB Blaschko Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	26	2023
Improving Differentially Private SGD via Randomly Sparsified Gradients J Zhu, MB Blaschko Transactions on Machine Learning Research, 2023	13*	2023
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning J Zhu, R Yao, MB Blaschko International Conference on Machine Learning (ICML), 2023	7	2023
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs E Liu, J Zhu, Z Lin, X Ning, MB Blaschko, S Yan, G Dai, H Yang, Y Wang arXiv preprint arXiv:2407.00945, 2024	5	2024
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models J Zhu, S Liu, Y Yu, B Tang, Y Yan, Z Li, F Xiong, T Xu, MB Blaschko Findings of EMNLP 2024, 2024	3	2024
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better E Liu, J Zhu, Z Lin, X Ning, MB Blaschko, S Yekhanin, S Yan, G Dai, ... arXiv preprint arXiv:2404.02241, 2024	3	2024
Localization in Aerial Imagery with Grid Maps using LocGAN H Hu, J Zhu, S Wirges, M Lauer 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2860-2865, 2019	2	2019
Tackling Personalized Federated Learning with Label Concept Drift via Hierarchical Bayesian Modeling X Ma, J Zhu, MB Blaschko Workshop on Federated Learning: Recent Advances and New Challenges (in …, 0	2*
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction J Shi, J Zhu, DM Pelt, KJ Batenburg, MB Blaschko Transactions on Machine Learning Research, 2024	1	2024
Rescaling intermediate features makes trained consistency models perform better J Zhu, Z Lin, E Liu, X Ning, M Blaschko The Second Tiny Papers Track at ICLR 2024, 2024		2024

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