Wei Cui

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South China University of Technology International Student Union ∙ Beijing Institute of Technology

Phase Transitions in Recovery of Structured Signals from Corrupted Measurements

This paper is concerned with the problem of recovering a structured sign...
01/03/2021 ∙ by Zhongxing Sun, et al. ∙ 9 ∙ share

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Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer

This paper proposes a novel and scalable reinforcement learning approach...
12/22/2020 ∙ by Wei Cui, et al. ∙ 8 ∙ share

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Threats and Opportunities: Blockchain Meets Quantum Computation

This article considered deficiencies of the flourishing blockchain techn...
11/06/2020 ∙ by Wei Cui, et al. ∙ 0 ∙ share

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A Simple and General Graph Neural Network with Stochastic Message Passing

Graph neural networks (GNNs) are emerging machine learning models on gra...
09/05/2020 ∙ by Ziwei Zhang, et al. ∙ 0 ∙ share

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Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information

This paper studies the problem of reconstructing spectrally sparse signa...
08/05/2020 ∙ by Xu Zhang, et al. ∙ 0 ∙ share

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Algorithmic Decision Making with Conditional Fairness

Nowadays fairness issues have raised great concerns in decision-making s...
06/18/2020 ∙ by Renzhe Xu, et al. ∙ 0 ∙ share

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Matrix Completion with Prior Subspace Information via Maximizing Correlation

This paper studies the problem of completing a low-rank matrix from a fe...
01/05/2020 ∙ by Xu Zhang, et al. ∙ 0 ∙ share

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Covariance Matrix Estimation from Correlated Sub-Gaussian Samples

This paper studies the problem of estimating a covariance matrix from co...
10/16/2019 ∙ by Xu Zhang, et al. ∙ 0 ∙ share

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Data-based wind disaster climate identification algorithm and extreme wind speed prediction

An extreme wind speed estimation method that considers wind hazard clima...
08/29/2019 ∙ by Wei Cui, et al. ∙ 1 ∙ share

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ECG Identification under Exercise and Rest Situations via Various Learning Methods

As the advancement of information security, human recognition as its cor...
05/11/2019 ∙ by Zihan Wang, et al. ∙ 0 ∙ share

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Performance comparison of an AI-based Adaptive Learning System in China

Adaptive learning systems stand apart from traditional learning systems ...
01/29/2019 ∙ by Wei Cui, et al. ∙ 0 ∙ share

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Recovery of Structured Signals From Corrupted Non-Linear Measurements

This paper studies the problem of recovering a structured signal from a ...
01/24/2019 ∙ by Zhongxing Sun, et al. ∙ 0 ∙ share

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Spatial Deep Learning for Wireless Scheduling

The optimal scheduling of interfering links in a dense wireless network ...
08/04/2018 ∙ by Wei Cui, et al. ∙ 0 ∙ share

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Covariance Matrix Estimation from Correlated Samples

Covariance matrix estimation concerns the problem of estimating the cova...
08/03/2018 ∙ by Wei Cui, et al. ∙ 0 ∙ share

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Identifying the Mislabeled Training Samples of ECG Signals using Machine Learning

The classification accuracy of electrocardiogram signal is often affecte...
12/11/2017 ∙ by Yaoguang Li, et al. ∙ 0 ∙ share

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Optical Mapping Near-eye Three-dimensional Display with Correct Focus Cues

We present an optical mapping near-eye (OMNI) three-dimensional display ...
05/24/2017 ∙ by Wei Cui, et al. ∙ 0 ∙ share

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Wei Cui

Featured Co-authors

Bo Li

Bo Zhang

Wei Yu

Xu Zhang

Cong Wang

Peng Cui

Wenwu Zhu

Kun Kuang

Kaiming Shen

Zihan Wang

Yulong Liu

Phase Transitions in Recovery of Structured Signals from Corrupted Measurements

Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer

Threats and Opportunities: Blockchain Meets Quantum Computation

A Simple and General Graph Neural Network with Stochastic Message Passing

Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information

Algorithmic Decision Making with Conditional Fairness

Matrix Completion with Prior Subspace Information via Maximizing Correlation

Covariance Matrix Estimation from Correlated Sub-Gaussian Samples

Data-based wind disaster climate identification algorithm and extreme wind speed prediction

ECG Identification under Exercise and Rest Situations via Various Learning Methods

Performance comparison of an AI-based Adaptive Learning System in China

Recovery of Structured Signals From Corrupted Non-Linear Measurements

Spatial Deep Learning for Wireless Scheduling

Covariance Matrix Estimation from Correlated Samples

Identifying the Mislabeled Training Samples of ECG Signals using Machine Learning

Optical Mapping Near-eye Three-dimensional Display with Correct Focus Cues