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Weidong Liu
,
Xiaojun Mao
,
Xiaofei Zhang
,
Xin Zhang
(2024).
Robust Personalized Federated Learning with Sparse Penalization
.
Journal of the American Statistical Association
(2024).
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Weidong Liu
,
Xiaojun Mao
,
Xiaofei Zhang
,
Xin Zhang
(2024).
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy
.
IEEE Transactions on Information Forensics and Security
(2024).
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Zhuqing Liu
,
Xin Zhang
,
Songtao Lu
,
Jia Liu
(2023).
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities
. In
ACM Mobihoc 2023
.
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Zhuqing Liu
,
Xin Zhang
,
Prashant Khanduri
,
Songtao Lu
,
Jia Liu
(2023).
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
. In
ICML 2023
.
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Qinglong Tian
,
Xin Zhang
,
Jiwei Zhao
(2023).
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
. In
ICML 2022
.
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Xin Wang
,
Xin Zhang
,
Zhengyuan Zhu
(2023).
Clustered coefficient regression models for Poisson process with an application to seasonal warranty claim data
.
Technometrics
(2023):1-18.
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Xin Zhang
,
Jia Liu
,
Zhengyuan Zhu
(2022).
Learning Coefficient Heterogeneity over Networks: A Distributed Spanning-Tree-Based Fused-Lasso Regression
.
Journal of the American Statistical Association
(2022):1-13.
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Zhuqing Liu
,
Xin Zhang
,
Jia Liu
(2022).
SYNTHESIS: A semi-asynchronous path-integrated stochastic gradient method for distributed learning in computing clusters
. In
ACM Mobihoc 2022
.
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Xin Zhang
,
Minghong Fang
,
Zhuqing Liu
,
Haibo Yang
,
Jia Liu
,
Zhengyuan Zhu
(2022).
NET-FLEET: Achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data
. In
ACM Mobihoc 2022
.
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Zhuqing Liu
,
Xin Zhang
,
Prashant Khanduri
,
Songtao Lu
,
Jia Liu
(2022).
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks
. In
ACM Mobihoc 2022
.
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Haibo Yang
,
Zhuqing Liu
,
Xin Zhang
,
Jia Liu
(2022).
SAGDA: Achieving O(ε−2) Communication Complexity in Federated Min-Max Learning
. In
Neurips 2022
.
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Haibo Yang
,
Xin Zhang
,
Prashant Khanduri
,
Jia Liu
(2022).
Anarchic federated learning
. In
ICML (2022)
.
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Weidong Liu
,
Xiaojun Mao
,
Xin Zhang
(2022).
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach
.
IEEE Transactions on Signal Processing 70
(2022).
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Xin Zhang
,
Zhuqing Liu
,
Jia Liu
,
Zhengyuan Zhu
,
Songtao Lu
(2021).
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
. In
Neurips 2021
.
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Xin Zhang
,
Jia Liu
,
Zhengyuan Zhu
,
Elizabeth Serena Bentley
(2021).
GT-STORM: Taming sample, communication, and memory complexities in decentralized non-convex learning
. In
ACM Mobihoc 2021
.
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Xin Zhang
,
Jia Liu
,
Zhengyuan Zhu
,
Elizabeth Serena Bentley
(2021).
Low Sample and Communication Complexities in Decentralized Learning: A Triple Hybrid Approach
. In
IEEE INFOCOM 2021
.
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Xin Zhang
,
Jia Liu
,
Zhengyuan Zhu
(2020).
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning
. In
IEEE CDC 2020
.
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Xin Zhang
,
Minghong Fang
,
Jia Liu
,
Zhengyuan Zhu
(2020).
Private and communication-efficient edge learning: a sparse differential gaussian-masking distributed SGD approach
. In
ACM Mobihoc 2020
.
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Haibo Yang
,
Xin Zhang
,
Minghong Fang
,
Jia Liu
(2020).
Adaptive multi-hierarchical signSGD for communication-efficient distributed optimization
. In
SPAWC 2020
.
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Haibo Yang
,
Xin Zhang
,
Minghong Fang
,
Jia Liu
(2019).
Byzantine-resilient stochastic gradient descent for distributed learning: A lipschitz-inspired coordinate-wise median approach
. In
IEEE CDC 2019
.
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Xin Zhang
,
Jia Liu
,
Zhengyuan Zhu
,
Elizabeth S. Bentley
(2019).
Compressed distributed gradient descent: Communication-efficient consensus over networks
. In
IEEE INFOCOM 2019
.
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Xin Zhang
,
Zhengyuan Zhu
(2019).
Spatial CUSUM for Signal Region Detection
.
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Xin Zhang
,
Limin Li
,
Michael K.Ng
,
Shuqin Zhang
(2017).
Drug–target interaction prediction by integrating multiview network data
.
Computational biology and chemistry, 69,
pp.185-193.
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Xin Zhang
,
Weiguo Gao
,
Yun Su
(2015).
Electricity consumer archetypes study based on functional data analysis and K-means algorithm
.
Power system technology, 39
(2).
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Xin Zhang
(2015).
An example preprint / working paper
.
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