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Guangxi Li
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2020 – today
- 2024
- [j9]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): 117 (2024) - [c9]Zeyu Zhang
, Xuyin Qi
JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA. MIUA (1) 2024: 158-172 - [i13]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. CoRR abs/2404.11525 (2024) - [i12]Guangxi Li, Yinsheng Song, Mingkai Zheng:
SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models. CoRR abs/2408.16273 (2024) - 2023
- [j8]Youle Wang
A hybrid quantum-classical Hamiltonian learning algorithm. Sci. China Inf. Sci. 66(2) (2023) - [j7]Guangxi Li, Haitao Liu
An effective approach for non-singular trajectory generation of a 5-DOF hybrid machining robot. Robotics Comput. Integr. Manuf. 80: 102477 (2023) - [j6]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): 6908 (2023) - [i11]Maolin Wang, Yu Pan, Xiangli Yang
Tensor Networks Meet Neural Networks: A Survey. CoRR abs/2302.09019 (2023) - 2022
- [j5]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): 983-993 (2022) - [j4]Juliang Xiao, Sijiang Liu
A jerk-limited heuristic feedrate scheduling method based on particle swarm optimization for a 5-DOF hybrid robot. Robotics Comput. Integr. Manuf. 78: 102396 (2022) - [c8]Guangxi Li, Ruilin Ye, Xuanqiang Zhao, Xin Wang:
Concentration of Data Encoding in Parameterized Quantum Circuits. NeurIPS 2022 - [i10]Guangxi Li, Xuanqiang Zhao, Xin Wang
Quantum Self-Attention Neural Networks for Text Classification. CoRR abs/2205.05625 (2022) - [i9]Guangxi Li, Ruilin Ye, Xuanqiang Zhao, Xin Wang:
Concentration of Data Encoding in Parameterized Quantum Circuits. CoRR abs/2206.08273 (2022) - 2021
- [j3]Guangxi Li, Lingyun Wang
Research on Partitioning Algorithm Based on Dynamic Star Simulator Guide Star Catalog. IEEE Access 9: 54663-54670 (2021) - [c7]Guangxi Li, Zhixin Song, Xin Wang:
VSQL: Variational Shadow Quantum Learning for Classification. AAAI 2021: 8357-8365 - [c6]Gang Liu, Yichao Dong, Guangxi Li:
Cross-Language Plagiarism Detection Model Based On Multiple Features. ISCC 2021: 1-7 - [i8]Youle Wang, Guangxi Li, Xin Wang:
A Hybrid Quantum-Classical Hamiltonian Learning Algorithm. CoRR abs/2103.01061 (2021) - 2020
- [j2]Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang
Block-term tensor neural networks. Neural Networks 130: 11-21 (2020) - [i7]Youle Wang, Guangxi Li, Xin Wang:
Variational quantum Gibbs state preparation with a truncated Taylor series. CoRR abs/2005.08797 (2020) - [i6]Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu:
Block-term Tensor Neural Networks. CoRR abs/2010.04963 (2020) - [i5]Guangxi Li, Zhixin Song, Xin Wang:
VSQL: Variational Shadow Quantum Learning for Classification. CoRR abs/2012.08288 (2020)
2010 – 2019
- 2019
- [i4]Guangxi Li, Youle Wang, Yu Luo, Yuan Feng:
Quantum Data Fitting Algorithm for Non-sparse Matrices. CoRR abs/1907.06949 (2019) - 2018
- [j1]Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng
Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition. Cogn. Comput. 10(6): 1075-1084 (2018) - [c5]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: 9378-9387 - 2017
- [c4]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: 420-425 - [c3]Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King
Simple and efficient parallelization for probabilistic temporal tensor factorization. IJCNN 2017: 1-8 - [i3]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 abs/1712.05134 (2017) - [i2]Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu:
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition. CoRR abs/1712.05689 (2017) - 2016
- [i1]Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization. CoRR abs/1611.03578 (2016) - 2012
- [c2]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 - 2011
- [c1]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
Coauthor Index
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