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RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection


Oct 03, 2021
Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu

* 30 pages, 17 figures, journal submission 

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Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection


Dec 03, 2020
Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu

* 2020 IEEE Asilomar Conference on Signals, Systems, and Computers 

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Learning for Integer-Constrained Optimization through Neural Networks with Limited Training


Nov 10, 2020
Zhou Zhou, Shashank Jere, Lizhong Zheng, Lingjia Liu


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On Universal Features for High-Dimensional Learning and Inference


Nov 20, 2019
Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng


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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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Probabilistic Clustering Using Maximal Matrix Norm Couplings


Oct 10, 2018
David Qiu, Anuran Makur, Lizhong Zheng

* Presented at 56th Annual Allerton Conference on Communication, Control, and Computing, 2018 

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