Guangxi Li - Google Scholar Citations

20172018201920202 12 29 21

Zenglin XuHarbin Institute of Technology, ShenzhenVerified email at hit.edu.cn
Jinmian YeUniversity of Electronic Science and Technology of ChinaVerified email at std.uestc.edu.cn
Shandian ZheSchool of Computing, University of UtahVerified email at cs.utah.edu
Chu XinqiUniversity of Illinois, Urbana-ChampaignVerified email at illinois.edu
Youle WangPh.D, University of Technology Sydney, (UTS)Verified email at student.uts.edu.au
Lirong HePh.D.Student, University of Electronic Science and Technology of ChinaVerified email at std.uestc.edu.cn
Bin LiuDepartment of Statistics & Actuarial Science, Hong Kong UniversityVerified email at hku.hk
Yongpan ShengResearch Assistant, Chongqing UniversityVerified email at std.uestc.edu.cn
Michael R. LyuProfessor of Computer Science & Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Irwin KingThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Xin WangStaff Researcher, Institute for Quantum Computing, Baidu ResearchVerified email at umd.edu
Yuan FengUniversity of Technology Sydney and Tsinghua UniversityVerified email at tsinghua.edu.cn

Guangxi Li

Verified email at student.uts.edu.au


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	33	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	11	2018
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
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	5	2017
Variational quantum Gibbs state preparation with a truncated Taylor series Y Wang, G Li, X Wang arXiv preprint arXiv:2005.08797, 2020	3	2020
Quantum Data Fitting Algorithm for Non-sparse Matrices G Li, Y Wang, Y Luo, Y Feng arXiv preprint arXiv:1907.06949, 2019	2	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
Block-term tensor neural networks J Ye, G Li, D Chen, H Yang, S Zhe, Z Xu Neural Networks, 2020		2020

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