Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Guangxi Li

A Hybrid Quantum-Classical Hamiltonian Learning Algorithm


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

* 24 pages 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Variational quantum Gibbs state preparation with a truncated Taylor series


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

* 23 pages including appendix 

  Access Paper or Ask Questions

Quantum Data Fitting Algorithm for Non-sparse Matrices


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

* 5 pages 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization


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


  Access Paper or Ask Questions