Jiaqi Zhang

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University of Illinois at Urbana-Champaign ∙ Tsinghua University

DARWIN: A Highly Flexible Platform for Imaging Research in Radiology

To conduct a radiomics or deep learning research experiment, the radiolo...
09/02/2020 ∙ by Lufan Chang, et al. ∙ 16 ∙ share

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Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network

This research proposes a Ground Penetrating Radar (GPR) data processing ...
03/29/2020 ∙ by Senlin Yang, et al. ∙ 7 ∙ share

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Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks

This paper proposes a fully asynchronous scheme for policy evaluation of...
03/01/2020 ∙ by Xingyu Sha, et al. ∙ 0 ∙ share

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Distributed Adaptive Newton Methods with Globally Superlinear Convergence

This paper considers the distributed optimization problem over a network...
02/18/2020 ∙ 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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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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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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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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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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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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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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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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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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Jiaqi Zhang

Featured Co-authors

Liwei Wang

Yuxin Chen

Hao Liu

Jing Wang

Tamer Basar

Peng Jiang

Kaiqing Zhang

Kai Zheng

Jing Yu

Zengchang Qin

Yifan Liu

DARWIN: A Highly Flexible Platform for Imaging Research in Radiology

Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network

Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks

Distributed Adaptive Newton Methods with Globally Superlinear Convergence

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

Sparse and Low-Rank Tensor Regression via Parallel Proximal Method

Distributed Conjugate Gradient Tracking for Resource Allocation in Unbalanced Networks

Decentralized Stochastic Gradient Tracking for Non-convex Empirical Risk Minimization

Decentralized Stochastic Gradient Tracking for Empirical Risk Minimization

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

Asynchronous Decentralized Optimization in Directed Networks

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

AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs

Efficient Private ERM for Smooth Objectives