Dimension Reduction and Memory Amnestic Big Data Regression

Last updated on Jan 21, 2021
Concept Diagram of the Project

This project aims at proposing and validating novel big data computing algorithms and high dimension reduction algorithms for statistical machine learning. The potential use case of this project include IoT machine learning and explainable AI.

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Baijian Yang
Baijian Yang
Professor of Computer and Information Technology

My research interests include applied machine learning, big data and cybersecurity.

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Publications

High-Order Orthogonal Decomposition for Tensors
Tensor decompositions are becoming increasingly important in processing images and videos. Previous methods, such as ANDECOMP/PARAFAC …
Weitao Tang, Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang
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High-Order Orthogonal Decomposition for Tensors
Accounting for Factor Variables in Big Data Regression
Continuous and factor explanatory variables are both important in linear regressions. To fit a linear model using factor variables, the …
Tonglin Zhang, Baijian Yang
PDF Cite Project DOI Abstract
Accounting for Factor Variables in Big Data Regression
Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos
Tensor decomposition techniques are becoming increasingly important in processing videos with large sizes and dimensions. Under the …
Xiang Liu, Huyunting Huang, Weitao Tang, Tonglin Zhang, Baijian Yang
PDF Cite Project DOI IEEE Explore
Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos
Regression PCA for Moving Objects Separation
This work proposed a new approach called regression PCA (RegPCA) for statistical machine learning and big data analyses. One of the …
Huyunting Huang, Xiang Liu, Tonglin Zhang, Baijian Yang
Cite Project DOI IEEE Explore
Regression PCA for Moving Objects Separation
Sparse Block Regression (SBR) for Big Data with Categorical Variables
Categorical variables are nominal variables that classify observations by groups. The treatment of categorical variables in regression …
Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang
PDF Cite Project DOI Abstract
Sparse Block Regression (SBR) for Big Data with Categorical Variables
A Triangulation-Based Visual Localization for Field Robots
Localization under GPS shadowed areas is an important yet challenging task for field robot operation. In this study, we propose a novel …
James Liang, Yuxing Wang, Yingjie Chen, Baijian Yang, Dongfang Liu
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A Triangulation-Based Visual Localization for Field Robots