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ORCIDHuyunting Huang
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2020 – today
- 2023
[c7]Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Justin Yang
:
Improved Clustering Using Nice Initialization. GLOBECOM 2023: 320-325- [c6]Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang, Qianqian Song, Jing Su:
Feature Selection for Unsupervised Machine Learning. SmartCloud 2023: 164-169 - 2022
- [i2]Baijian Justin Yang, Carolyn Ellis, Preston M. Smith, Huyunting Huang:
Managing Controlled Unclassified Information in Research Institutions. CoRR abs/2211.14886 (2022) - 2020
- [c5]Huyunting Huang, Xiang Liu, Tonglin Zhang, Baijian Yang:
Regression PCA for Moving Objects Separation. GLOBECOM 2020: 1-6 - [c4]Xiang Liu, Huyunting Huang, Weitao Tang, Tonglin Zhang, Baijian Yang:
Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos. ICMLA 2020: 65-70 - [c3]Weitao Tang, Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang:
HOOD: High-Order Orthogonal Decomposition for Tensors. SmartCom 2020: 87-96
2010 – 2019
- 2019
- [c2]Xiang Liu, Huyunting Huang, Ziyang Tang, Tonglin Zhang, Baijian Yang:
Sparse Block Regression (SBR) for Big Data with Categorical Variables. IEEE BigData 2019: 221-226 - [c1]Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang:
Multiple Learning for Regression in Big Data. ICMLA 2019: 587-594 - [i1]Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang:
Multiple Learning for Regression in big data. CoRR abs/1903.00843 (2019)
Coauthor Index
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