Guangxi Li

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 28

Top Topics

Variational Bayesian

Tensor Factorization

Temperature Control

Top Venues

Robotics Comput. Integr. Manuf.

Sci. China Inf. Sci.

Publications

Zeyu Zhang, Xuyin Qi, Mingxi Chen, Guangxi Li, Ryan Pham, Ayub Qassim, Ella Berry, Zhibin Liao, Owen Siggs, Robert A. McLaughlin, Jamie Craig, Minh-Son To
JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA. MIUA (1) (2024)
Bo Cui, Lingyun Wang, Guangxi Li, Xian Ren
Field Programmable Gate Array-Based Acceleration Algorithm Design for Dynamic Star Map Parallel Computing. Algorithms 17 (3) (2024)
Zeyu Zhang, Xuyin Qi, Mingxi Chen, Guangxi Li, Ryan Pham, Ayub Qassim, Ella Berry, Zhibin Liao, Owen Siggs, Robert Mclaughlin, Jamie Craig, Minh-Son To
JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA. CoRR (2024)
Youle Wang, Guangxi Li, Xin Wang
A hybrid quantum-classical Hamiltonian learning algorithm. Sci. China Inf. Sci. 66 (2) (2023)
Jiachong Li, Lingyun Wang, Guangxi Li, Sida Mu
Designing an Accurate Temperature Control System for Infrared Earth Simulators Using Semiconductor and Air Cooling Integration. Sensors 23 (15) (2023)
Maolin Wang, Yu Pan, Xiangli Yang, Guangxi Li, Zenglin Xu
Tensor Networks Meet Neural Networks: A Survey. CoRR (2023)
Guangxi Li, Haitao Liu, Tian Huang, Jiale Han, Juliang Xiao
An effective approach for non-singular trajectory generation of a 5-DOF hybrid machining robot. Robotics Comput. Integr. Manuf. 80 (2023)
Guangxi Li, Ruilin Ye, Xuanqiang Zhao, Xin Wang
Concentration of Data Encoding in Parameterized Quantum Circuits. CoRR (2022)
Juliang Xiao, Sijiang Liu, Haitao Liu, Mingli Wang, Guangxi Li, Yunpeng Wang
A jerk-limited heuristic feedrate scheduling method based on particle swarm optimization for a 5-DOF hybrid robot. Robotics Comput. Integr. Manuf. 78 (2022)
Guangxi Li, Ruilin Ye, Xuanqiang Zhao, Xin Wang
Concentration of Data Encoding in Parameterized Quantum Circuits. NeurIPS (2022)
Guangxi Li, Xuanqiang Zhao, Xin Wang
Quantum Self-Attention Neural Networks for Text Classification. CoRR (2022)
Hao Liu, Xiutao Shi, Guangxi Li, Shijun Liu, Li Pan
Ontology Guided Sparse Tensor Factorization for joint recommendation with hierarchical relationships. Pers. Ubiquitous Comput. 26 (4) (2022)
Guangxi Li, Lingyun Wang, Ru Zheng, Xin Yu, Yue Ma, Xiao Liu, Bo Liu
Research on Partitioning Algorithm Based on Dynamic Star Simulator Guide Star Catalog. IEEE Access 9 (2021)
Youle Wang, Guangxi Li, Xin Wang
A Hybrid Quantum-Classical Hamiltonian Learning Algorithm. CoRR (2021)
Guangxi Li, Zhixin Song, Xin Wang
VSQL: Variational Shadow Quantum Learning for Classification. AAAI (2021)
Gang Liu, Yichao Dong, Guangxi Li
Cross-Language Plagiarism Detection Model Based On Multiple Features. ISCC (2021)
Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
Block-term Tensor Neural Networks. CoRR (2020)
Guangxi Li, Zhixin Song, Xin Wang
VSQL: Variational Shadow Quantum Learning for Classification. CoRR (2020)
Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
Block-term tensor neural networks. Neural Networks 130 (2020)
Youle Wang, Guangxi Li, Xin Wang
Variational quantum Gibbs state preparation with a truncated Taylor series. CoRR (2020)
Guangxi Li, Youle Wang, Yu Luo, Yuan Feng
Quantum Data Fitting Algorithm for Non-sparse Matrices. CoRR (2019)
Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition. CVPR (2018)
Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, Zenglin Xu
Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition. Cogn. Comput. 10 (6) (2018)
Qianyu Jiang, Xiutao Shi, Guangxi Li, Bin Liu, Lei Wu, Shijun Liu
Integrating supply and demand chains in personalized recommendation via chain-coupled tensor factorization. CSCWD (2017)
Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu
Simple and efficient parallelization for probabilistic temporal tensor factorization. IJCNN (2017)
Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition. CoRR (2017)
Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition. CoRR (2017)
Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization. CoRR (2016)
Balwinder Singh, Guangxi Li, Myriam Vela, Brian W. Pickering, Alejandro Rabinstein, Vitaly Herasevich
Derivation and Validation of Digital Signature For Seizures as a Comorbid Condition in Critically Ill Patients. AMIA (2012)
Christopher N. Eichelberger, Mirsad Hadzikadic, Ognjen Gajic, Guangxi Li
Automatic Verification and Validation of a CAS Simulation of an Intensive Care Unit. AAAI Fall Symposium: Complex Adaptive Systems (2011)