Jiaqi Zhang

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Tsinghua University

Efficient Private ERM for Smooth Objectives

In this paper, we consider efficient differentially private empirical ri...
03/29/2017 ∙ by Jiaqi Zhang, et al. ∙ 0 ∙ share

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AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs

This paper proposes a novel exact asynchronous subgradient-push algorith...
08/13/2018 ∙ by Jiaqi Zhang, et al. ∙ 0 ∙ share

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Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks

Semantic segmentation is one of the basic topics in computer vision, it ...
11/01/2018 ∙ by Shuangting Liu, et al. ∙ 0 ∙ share

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Asynchronous Decentralized Optimization in Directed Networks

A popular asynchronous protocol for decentralized optimization is random...
01/24/2019 ∙ by Jiaqi Zhang, et al. ∙ 0 ∙ share

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A system for generating complex physically accurate sensor images for automotive applications

We describe an open-source simulator that creates sensor irradiance and ...
02/12/2019 ∙ by Zhenyi Liu, et al. ∙ 0 ∙ share

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Decentralized Stochastic Gradient Tracking for Empirical Risk Minimization

Recent works have shown superiorities of decentralized SGD to centralize...
09/06/2019 ∙ by Jiaqi Zhang, et al. ∙ 0 ∙ share

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Distributed Conjugate Gradient Tracking for Resource Allocation in Unbalanced Networks

This paper proposes a distributed conjugate gradient tracking algorithm ...
09/22/2019 ∙ by Jiaqi Zhang, et al. ∙ 0 ∙ share

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Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models

Because tensor data appear more and more frequently in various scientifi...
11/29/2019 ∙ by Jiaqi Zhang, et al. ∙ 0 ∙ share

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Sparse and Low-Rank Tensor Regression via Parallel Proximal Method

Motivated by applications in various scientific fields having demand of ...
11/29/2019 ∙ by Jiaqi Zhang, et al. ∙ 0 ∙ share

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Decentralized Stochastic Gradient Tracking for Non-convex Empirical Risk Minimization

This paper studies a decentralized stochastic gradient tracking (DSGT) a...
09/06/2019 ∙ by Jiaqi Zhang, et al. ∙ 0 ∙ share

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Jiaqi Zhang

Featured Co-authors

Liwei Wang

Yuxin Chen

Zengchang Qin

Beilun Wang

Wenlong Mou

Kai Zheng

Keyou You

Yifan Liu

Tao Wan

Brian Wandell

Kai Cai

Efficient Private ERM for Smooth Objectives

AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs

Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks

Asynchronous Decentralized Optimization in Directed Networks

A system for generating complex physically accurate sensor images for automotive applications

Decentralized Stochastic Gradient Tracking for Empirical Risk Minimization

Distributed Conjugate Gradient Tracking for Resource Allocation in Unbalanced Networks

Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models

Sparse and Low-Rank Tensor Regression via Parallel Proximal Method

Decentralized Stochastic Gradient Tracking for Non-convex Empirical Risk Minimization