Guangxi Li
Guangxi Li
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Learning compact recurrent neural networks with block-term tensor decomposition
J Ye, L Wang, G Li, D Chen, S Zhe, X Chu, Z Xu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Knowledge base completion by variational bayesian neural tensor decomposition
L He, B Liu, G Li, Y Sheng, Y Wang, Z Xu
Cognitive Computation 10 (6), 1075-1084, 2018
Variational quantum Gibbs state preparation with a truncated Taylor series
Y Wang, G Li, X Wang
arXiv preprint arXiv:2005.08797, 2020
Bt-nets: Simplifying deep neural networks via block term decomposition
G Li, J Ye, H Yang, D Chen, S Yan, Z Xu
arXiv preprint arXiv:1712.05689, 2017
Simple and efficient parallelization for probabilistic temporal tensor factorization
G Li, Z Xu, L Wang, J Ye, I King, M Lyu
2017 International Joint Conference on Neural Networks (IJCNN), 1-8, 2017
Block-term tensor neural networks
J Ye, G Li, D Chen, H Yang, S Zhe, Z Xu
Neural Networks 130, 11-21, 2020
VSQL: Variational Shadow Quantum Learning for Classification
G Li, Z Song, X Wang
arXiv preprint arXiv:2012.08288, 2020
Quantum Data Fitting Algorithm for Non-sparse Matrices
G Li, Y Wang, Y Luo, Y Feng
arXiv preprint arXiv:1907.06949, 2019
Integrating supply and demand chains in personalized recommendation via chain-coupled tensor factorization
Q Jiang, X Shi, G Li, B Liu, L Wu, S Liu
2017 IEEE 21st International Conference on Computer Supported Cooperative …, 2017
A Hybrid Quantum-Classical Hamiltonian Learning Algorithm
Y Wang, G Li, X Wang
arXiv preprint arXiv:2103.01061, 2021
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