Guangxi Li

Orcid: 0009-0004-1677-2213

According to our database1, Guangxi Li authored at least 25 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Field Programmable Gate Array-Based Acceleration Algorithm Design for Dynamic Star Map Parallel Computing.
Algorithms, March, 2024

SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models.
CoRR, 2024

JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

2023
Designing an Accurate Temperature Control System for Infrared Earth Simulators Using Semiconductor and Air Cooling Integration.
Sensors, August, 2023

A hybrid quantum-classical Hamiltonian learning algorithm.
Sci. China Inf. Sci., February, 2023

An effective approach for non-singular trajectory generation of a 5-DOF hybrid machining robot.
Robotics Comput. Integr. Manuf., 2023

Tensor Networks Meet Neural Networks: A Survey.
CoRR, 2023

2022
A jerk-limited heuristic feedrate scheduling method based on particle swarm optimization for a 5-DOF hybrid robot.
Robotics Comput. Integr. Manuf., 2022

Ontology Guided Sparse Tensor Factorization for joint recommendation with hierarchical relationships.
Pers. Ubiquitous Comput., 2022

Quantum Self-Attention Neural Networks for Text Classification.
CoRR, 2022

Concentration of Data Encoding in Parameterized Quantum Circuits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
A Hybrid Quantum-Classical Hamiltonian Learning Algorithm.
CoRR, 2021

Research on Partitioning Algorithm Based on Dynamic Star Simulator Guide Star Catalog.
IEEE Access, 2021

Cross-Language Plagiarism Detection Model Based On Multiple Features.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

VSQL: Variational Shadow Quantum Learning for Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Block-term tensor neural networks.
Neural Networks, 2020

Variational quantum Gibbs state preparation with a truncated Taylor series.
CoRR, 2020

2019
Quantum Data Fitting Algorithm for Non-sparse Matrices.
CoRR, 2019

2018
Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition.
Cogn. Comput., 2018

Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition.
CoRR, 2017

Simple and efficient parallelization for probabilistic temporal tensor factorization.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Integrating supply and demand chains in personalized recommendation via chain-coupled tensor factorization.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

2012
Derivation and Validation of Digital Signature For Seizures as a Comorbid Condition in Critically Ill Patients.
Proceedings of the AMIA 2012, 2012

2011
Automatic Verification and Validation of a CAS Simulation of an Intensive Care Unit.
Proceedings of the Complex Adaptive Systems: Energy, 2011


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