Sparse Block Regression (SBR) for Big Data with Categorical Variables. - Xiang Liu 016; Huyunting Huang; Ziyang Tang; Tonglin Zhang; Baijian Yang 001 (IEEE BigData, 2019)

Multiple Learning for Regression in Big Data. - Xiang Liu 016; Ziyang Tang; Huyunting Huang; Tonglin Zhang; Baijian Yang 001 (ICMLA, 2019)

Regression PCA for Moving Objects Separation. - Huyunting Huang; Xiang Liu 016; Tonglin Zhang; Baijian Yang 001 (GLOBECOM, 2020)

Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos. - Xiang Liu 016; Huyunting Huang; Weitao Tang; Tonglin Zhang; Baijian Yang 001 (ICMLA, 2020)

HOOD: High-Order Orthogonal Decomposition for Tensors. - Weitao Tang; Xiang Liu 016; Huyunting Huang; Ziyang Tang; Tonglin Zhang; Baijian Yang 001 (SmartCom, 2020)

Managing Controlled Unclassified Information in Research Institutions. - Baijian Yang 001; Carolyn Ellis; Preston M. Smith; Huyunting Huang (CoRR, 2022)

Improved Clustering Using Nice Initialization. - Huyunting Huang; Ziyang Tang; Tonglin Zhang; Baijian Yang 001 (GLOBECOM, 2023)

Feature Selection for Unsupervised Machine Learning. - Huyunting Huang; Ziyang Tang; Tonglin Zhang; Baijian Yang 001; Qianqian Song; Jing Su 003 (SmartCloud, 2023)

Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud. - Hong Zhao; Huyunting Huang; Tonglin Zhang; Baijian Yang 001; Jin Wei-Kocsis; Songlin Fei (IEEE Big Data, 2024)