Ruiqi Liu | DeepAI

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293 publications
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Liang Li
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∙ 08/26/2023

Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models

This article studies the derivatives in models that flexibly characteriz...

0 Ruiqi Liu, et al. ∙

∙ 05/24/2023

6G Enabled Advanced Transportation Systems

The 6th generation (6G) wireless communication network is envisaged to b...

0 Ruiqi Liu, et al. ∙

∙ 05/23/2023

Integrated Sensing and Communication based Outdoor Multi-Target Detection, Tracking and Localization in Practical 5G Networks

The 6th generation (6G) wireless networks will likely to support a varie...

0 Ruiqi Liu, et al. ∙

∙ 05/23/2023

A Vision and An Evolutionary Framework for 6G: Scenarios, Capabilities and Enablers

With the standardization and commercialization completed at an unforesee...

0 Ruiqi Liu, et al. ∙

∙ 05/03/2023

Hybrid Active-Passive IRS Assisted Energy-Efficient Wireless Communication

Deploying active reflecting elements at the intelligent reflecting surfa...

0 Qiaoyan Peng, et al. ∙

∙ 02/24/2023

Statistical Inference with Stochastic Gradient Methods under φ-mixing Data

Stochastic gradient descent (SGD) is a scalable and memory-efficient opt...

0 Ruiqi Liu, et al. ∙

∙ 07/04/2022

Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary

Deep learning has gained huge empirical successes in large-scale classif...

0 Tianyang Hu, et al. ∙

∙ 04/25/2022

Adaptive actuation of magnetic soft robots using deep reinforcement learning

Magnetic soft robots have attracted growing interest due to their unique...

0 Jianpeng Yao, et al. ∙

∙ 06/07/2021

Calibrating multi-dimensional complex ODE from noisy data via deep neural networks

Ordinary differential equations (ODEs) are widely used to model complex ...

1 Kexuan Li, et al. ∙

∙ 05/21/2021

Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints

Stochastic gradient descent (SGD) and projected stochastic gradient desc...

0 Ruiqi Liu, et al. ∙

∙ 05/20/2021

Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory

When data is of an extraordinarily large size or physically stored in di...

0 Ruiqi Liu, et al. ∙

∙ 04/30/2021

A Path to Smart Radio Environments: An Industrial Viewpoint on Reconfigurable Intelligent Surfaces

With both the standardization and commercialization completed in an unfo...

0 Ruiqi Liu, et al. ∙

∙ 12/23/2020

CN-Celeb: multi-genre speaker recognition

Research on speaker recognition is extending to address the vulnerabilit...

0 Lantian Li, et al. ∙

∙ 11/09/2020

A Computationally Efficient Classification Algorithm in Posterior Drift Model: Phase Transition and Minimax Adaptivity

In massive data analysis, training and testing data often come from very...

0 Ruiqi Liu, et al. ∙

∙ 04/30/2020

On Deep Instrumental Variables Estimate

The endogeneity issue is fundamentally important as many empirical appli...

0 Ruiqi Liu, et al. ∙

∙ 11/20/2019

Statistical Inference on Partially Linear Panel Model under Unobserved Linearity

A new statistical procedure, based on a modified spline basis, is propos...

0 Ruiqi Liu, et al. ∙

∙ 02/05/2019

Optimal Nonparametric Inference via Deep Neural Network

Deep neural network is a state-of-art method in modern science and techn...

0 Ruiqi Liu, et al. ∙

∙ 01/24/2019

Optimal Nonparametric Inference under Quantization

Statistical inference based on lossy or incomplete samples is of fundame...

0 Ruiqi Liu, et al. ∙

∙ 10/10/2018

Testing Community Structures for Hypergraphs

Many complex networks in real world can be formulated as hypergraphs whe...

0 Mingao Yuan, et al. ∙

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