ZiHeng Cheng

202320243 5

Xinmeng HuangPhD, University of PennsylvaniaVerified email at sas.upenn.edu
Kun YuanCenter for Machine Learning Research, Peking UniversityVerified email at pku.edu.cn
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordVerified email at stanford.edu
Junzi ZhangCitadel Securities; Amazon; Stanford UniversityVerified email at stanford.edu
Cheng ZhangAssistant Professor, Peking UniversityVerified email at math.pku.edu.cn

ZiHeng Cheng

Verified email at stu.pku.edu.cn


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Momentum benefits non-iid federated learning simply and provably Z Cheng, X Huang, K Yuan International Conference on Learning Representations (ICLR 2024), 2023	7	2023
Particle-based Variational Inference with Generalized Wasserstein Gradient Flow Z Cheng, S Zhang, L Yu, C Zhang Advances in Neural Information Processing Systems (NeurIPS 2023), 2023	1	2023
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models Z Cheng, J Zhang, A Agrawal, S Boyd arXiv preprint arXiv:2305.02573, 2023		2023

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