b'Hanyu Li'

research

∙ 07/03/2023

Tracking Tensor Ring Decompositions of Streaming Tensors

Tensor ring (TR) decomposition is an efficient approach to discover the ...

0 Yajie Yu, et al. ∙

research

∙ 03/29/2023

Block-Randomized Stochastic Methods for Tensor Ring Decomposition

Tensor ring (TR) decomposition is a simple but effective tensor network ...

0 Yajie Yu, et al. ∙

research

∙ 03/13/2023

CPQR-based randomized algorithms for generalized CUR decompositions

Based on the column pivoted QR decomposition, we propose some randomized...

0 Guihua Zhang, et al. ∙

research

∙ 01/03/2023

Least product relative error estimation for functional multiplicative model and optimal subsampling

In this paper, we study the functional linear multiplicative model based...

0 Qian Yan, et al. ∙

research

∙ 11/30/2022

Subsampling for tensor least squares: Optimization and statistical perspectives

In this paper, we investigate the random subsampling method for tensor l...

0 Ling Tang, et al. ∙

research

∙ 11/30/2022

Randomized block subsampling Kaczmarz-Motzkin method

By introducing a subsampling strategy, we propose a randomized block Kac...

0 Yanjun Zhang, et al. ∙

research

∙ 10/20/2022

Practical Alternating Least Squares for Tensor Ring Decomposition

Tensor ring (TR) decomposition has been widely applied as an effective a...

0 Yajie Yu, et al. ∙

research

∙ 10/15/2022

On sketch-and-project methods for solving tensor equations

We first propose the regular sketch-and-project method for solving tenso...

0 Ling Tang, et al. ∙

research

∙ 10/02/2022

Greedy capped nonlinear Kaczmarz methods

To solve nonlinear problems, we construct two kinds of greedy capped non...

0 Yanjun Zhang, et al. ∙

research

∙ 09/13/2022

Greedy randomized sampling nonlinear Kaczmarz methods

The nonlinear Kaczmarz method was recently proposed to solve the system ...

0 Yanjun Zhang, et al. ∙

research

∙ 09/12/2022

Practical Sketching-Based Randomized Tensor Ring Decomposition

Based on sketching techniques, we propose two randomized algorithms for ...

0 Yajie Yu, et al. ∙

research

∙ 05/05/2022

Optimal subsampling for functional quantile regression

Subsampling is an efficient method to deal with massive data. In this pa...

0 Qian Yan, et al. ∙

research

∙ 04/18/2022

Optimal Subsampling for High-dimensional Ridge Regression

We investigate the feature compression of high-dimensional ridge regress...

0 Hanyu Li, et al. ∙

research

∙ 04/12/2022

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

Autonomous driving faces great safety challenges for a lack of global pe...

0 Haibao Yu, et al. ∙

research

∙ 04/04/2022

Characterizing Parametric and Convergence Stability in Nonconvex and Nonsmooth Optimizations: A Geometric Approach

We consider stability issues in minimizing a continuous (probably parame...

0 Xiaotie Deng, et al. ∙

research

∙ 03/29/2022

Splitting-based randomized iterative methods for solving indefinite least squares problem

The indefinite least squares (ILS) problem is a generalization of the fa...

0 Yanjun Zhang, et al. ∙

research

∙ 03/25/2022

Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task

Concurrent perception datasets for autonomous driving are mainly limited...

0 Xiaoqing Ye, et al. ∙

research

∙ 01/03/2022

Sketch-and-project methods for tensor linear systems

We first extend the famous sketch-and-project method and its adaptive va...

0 Ling Tang, et al. ∙

research

∙ 10/25/2021

Componentwise perturbation analysis for the generalized Schurdecomposition

By defining two important terms called basic perturbation vectors and ob...

0 Guihua Zhang, et al. ∙

research

∙ 07/03/2021

On Tightness of the Tsaknakis-Spirakis Algorithm for Approximate Nash Equilibrium

Finding the minimum approximate ratio for Nash equilibrium of bi-matrix ...

0 Zhaohua Chen, et al. ∙

research

∙ 05/22/2021

Convergence directions of the randomized Gauss–Seidel method and its extension

The randomized Gauss–Seidel method and its extension have attracted much...

0 Yanjun Zhang, et al. ∙

research

∙ 05/11/2021

Optimal Sampling Algorithms for Block Matrix Multiplication

In this paper, we investigate the randomized algorithms for block matrix...

0 Chengmei Niu, et al. ∙

research

∙ 05/11/2021

Preconvergence of the randomized extended Kaczmarz method

In this paper, we analyze the convergence behavior of the randomized ext...

0 Yanjun Zhang, et al. ∙

research

∙ 03/06/2021

Block-Randomized Gradient Descent Methods with Importance Sampling for CP Tensor Decomposition

This work considers the problem of computing the CANDECOMP/PARAFAC (CP) ...

0 Hanyu Li, et al. ∙

research

∙ 11/12/2020

Block sampling Kaczmarz-Motzkin methods for consistent linear systems

The sampling Kaczmarz-Motzkin (SKM) method is a generalization of the ra...

0 Yanjun Zhang, et al. ∙

research

∙ 11/12/2020

Greedy Motzkin-Kaczmarz methods for solving linear systems

The famous greedy randomized Kaczmarz (GRK) method uses the greedy selec...

0 Yanjun Zhang, et al. ∙

research

∙ 11/06/2020

Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data

We present a fully modular and scalable software pipeline for processing...

0 Rafael Vescovi, et al. ∙

research

∙ 04/08/2020

A novel greedy Gauss-Seidel method for solving large linear least squares problem

We present a novel greedy Gauss-Seidel method for solving large linear l...

0 Yanjun Zhang, et al. ∙

research

∙ 04/06/2020

A Count Sketch Kaczmarz Method For Solving Large Overdetermined Linear Systems

In this paper, combining count sketch and maximal weighted residual Kacz...

0 Yanjun Zhang, et al. ∙

research

∙ 04/06/2020

Greedy Block Gauss-Seidel Methods for Solving Large Linear Least Squares Problem

With a greedy strategy to construct control index set of coordinates fir...

0 Hanyu Li, et al. ∙

research

∙ 04/05/2020

A Novel Greedy Kaczmarz Method For Solving Consistent Linear Systems

With a quite different way to determine the working rows, we propose a n...

0 Hanyu Li, et al. ∙

research

∙ 02/29/2020

Randomized block Krylov space methods for trace and log-determinant estimators

We present randomized algorithms based on block Krylov space method for ...

0 Hanyu Li, et al. ∙

research

∙ 06/17/2019

A Fusion Adversarial Network for Underwater Image Enhancement

Underwater image enhancement algorithms have attracted much attention in...

2 Jingjing Li, et al. ∙

research

∙ 05/13/2019

Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping

Mapping all the neurons in the brain requires automatic reconstruction o...

0 Wushi Dong, et al. ∙

Hanyu Li

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