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A Hybrid Quantum-Classical Hamiltonian Learning Algorithm

Mar 01, 2021
Youle Wang, Guangxi Li, Xin Wang

* 24 pages 

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VSQL: Variational Shadow Quantum Learning for Classification

Dec 15, 2020
Guangxi Li, Zhixin Song, Xin Wang

* 20 pages. To appear in the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021) 

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Block-term Tensor Neural Networks

Oct 10, 2020
Jinmian Yea, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu

* Neural Networks, 2020 
* 12 pages, 15 figures 

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Variational quantum Gibbs state preparation with a truncated Taylor series

May 18, 2020
Youle Wang, Guangxi Li, Xin Wang

* 23 pages including appendix 

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Quantum Data Fitting Algorithm for Non-sparse Matrices

Jul 16, 2019
Guangxi Li, Youle Wang, Yu Luo, Yuan Feng

* 5 pages 

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Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition

May 11, 2018
Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu

* CVPR2018 

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BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition

Dec 15, 2017
Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu

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Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization

Nov 11, 2016
Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael Lyu

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