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On Distributed Learning with Constant Communication Bits


Sep 14, 2021
Xiangxiang Xu, Shao-Lun Huang

* Submitted to JSAIT 

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Maximum Likelihood Estimation for Multimodal Learning with Missing Modality


Aug 24, 2021
Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang


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An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data


Oct 08, 2019
Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng

* 35 pages; Submitted to IEEE Journal on Selected Areas in Information Theory (JSAIT) 

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An Information Theoretic Interpretation to Deep Neural Networks


May 16, 2019
Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell

* Accepted to ISIT 2019 

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An Efficient Approach to Informative Feature Extraction from Multimodal Data


Nov 22, 2018
Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang

* Accepted to AAAI 2019 

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