Guangxi Li 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	471	452
h 指数	9	9
i10 指数	9	8

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Zenglin XuFudan University在 fudan.edu.cn 的电子邮件经过验证
Xin WangAssociate Professor, AI Thrust, Hong Kong University of Science and Technology (Guangzhou)在 hkust-gz.edu.cn 的电子邮件经过验证
Jinmian YeUniversity of Electronic Science and Technology of China在 std.uestc.edu.cn 的电子邮件经过验证
Shandian ZheSchool of Computing, University of Utah在 cs.utah.edu 的电子邮件经过验证
Chu XinqiUniversity of Illinois, Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Bin LiuCenter of Statistic Research, School of Statistics, Southwestern University of Finance & Economics在 swufe.edu.cn 的电子邮件经过验证
Lirong HePh.D.Student, University of Electronic Science and Technology of China在 std.uestc.edu.cn 的电子邮件经过验证
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
Irwin KingThe Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
Yuan FengTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Yongpan ShengLecturer, Southwest University

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Guangxi Li

Assistant Researcher, Quantum Science Center of G-H-M Greater Bay Area

在 quantumsc.cn 的电子邮件经过验证

quantum machine learning quantum neural network


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	159	2018
Variational quantum Gibbs state preparation with a truncated Taylor series Y Wang, G Li, X Wang Physical Review Applied 16 (5), 054035, 2021	91	2021
VSQL: Variational Shadow Quantum Learning for Classification G Li, Z Song, X Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8357-8365, 2021	46	2021
Quantum self-attention neural networks for text classification G Li, X Zhao, X Wang Science China Information Sciences 67 (4), 1-13, 2024	36	2024
Block-term tensor neural networks J Ye, G Li, D Chen, H Yang, S Zhe, Z Xu Neural Networks 130, 11-21, 2020	35	2020
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	25	2018
Concentration of data encoding in parameterized quantum circuits G Li, R Ye, X Zhao, X Wang Advances in Neural Information Processing Systems 35, 19456-19469, 2022	24	2022
Tensor networks meet neural networks: A survey and future perspectives M Wang, Y Pan, Z Xu, X Yang, G Li, A Cichocki arXiv preprint arXiv:2302.09019, 2023	23	2023
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	13	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	8	2017
A Hybrid Quantum-Classical Hamiltonian Learning Algorithm Y Wang, G Li, X Wang arXiv preprint arXiv:2103.01061, 2021	5	2021
Quantum Data Fitting Algorithm for Non-sparse Matrices G Li, Y Wang, Y Luo, Y Feng arXiv preprint arXiv:1907.06949, 2019	4	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	2	2017
Machine Learning Applications of Parameterized Quantum Circuits G Li		2023

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