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Jing Luo 0006
Person information
- affiliation: Xi'an University of Technology, Shaanxi Key Laboratory for Network Computing and Security Technology, Xi'an, China
Other persons with the same name
- Jing Luo — disambiguation page
- Jing Luo 0001 — Chinese Academy of Sciences, Key Laboratory of Mental Health, Institute of Psychology, Beijing, China (and 1 more)
- Jing Luo 0002 — Chinese Academy of Sciences, Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Jing Luo 0003 — Wuhan University of Science and Technology, College of Computer Science and Technology, China
- Jing Luo 0004 — Tianjin Polytechnic University, College of Electrical Engineering and Automation, China
- Jing Luo 0005 — South China University of Technology, Guangzhou, China
- Jing Luo 0007 — Xi'an Jiaotong University, Department of Computer Science, Xi'an, China
- Jing Luo 0008 — Technical University of Berlin, Institute for Energy Engineering, Berlin, Germany
- Jing Luo 0009 — Tongji University, Department of Electrical Engineering, Shanghai, China
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2020 – today
- 2024
- [i1]Jing Luo, Qi Mao, Weiwei Shi, Zhenghao Shi, Xiaofan Wang, Xiaofeng Lu, Xinhong Hei:
Mirror contrastive loss based sliding window transformer for subject-independent motor imagery based EEG signal recognition. CoRR abs/2409.00130 (2024) - 2023
- [j8]Jing Luo, Jundong Li, Qi Mao, Zhenghao Shi, Haiqin Liu, Xiaoyong Ren, Xinhong Hei:
Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface. BioData Min. 16(1) (2023) - [j7]Jing Luo, Yaojie Wang, Shuxiang Xia, Na Lu, Xiaoyong Ren, Zhenghao Shi, Xinhong Hei:
A shallow mirror transformer for subject-independent motor imagery BCI. Comput. Biol. Medicine 164: 107254 (2023) - 2021
- [c1]Jing Luo, Yaojie Wang, Rong Xu, Guangming Liu, Xiaofan Wang, Yijing Gong:
Channel Drop Out: A Simple Way to Prevent CNN from Overfitting in Motor Imagery Based BCI. ICPCSEE (1) 2021: 443-452 - 2020
- [j6]Jie Wang, Zuren Feng, Xiaodong Ren, Na Lu, Jing Luo, Lei Sun:
Feature subset and time segment selection for the classification of EEG data based motor imagery. Biomed. Signal Process. Control. 61: 102026 (2020) - [j5]Jing Luo, Xing Gao, Xiaobei Zhu, Bin Wang, Na Lu, Jie Wang:
Motor imagery EEG classification based on ensemble support vector learning. Comput. Methods Programs Biomed. 193: 105464 (2020)
2010 – 2019
- 2019
- [j4]Jing Luo, Zuren Feng, Na Lu:
Spatio-temporal discrepancy feature for classification of motor imageries. Biomed. Signal Process. Control. 47: 137-144 (2019) - 2018
- [j3]Jie Wang, Zuren Feng, Na Lu, Lei Sun, Jing Luo:
An information fusion scheme based common spatial pattern method for classification of motor imagery tasks. Biomed. Signal Process. Control. 46: 10-17 (2018) - [j2]Jie Wang, Zuren Feng, Na Lu, Jing Luo:
Toward optimal feature and time segment selection by divergence method for EEG signals classification. Comput. Biol. Medicine 97: 161-170 (2018) - 2016
- [j1]Jing Luo, Zuren Feng, Jun Zhang, Na Lu:
Dynamic frequency feature selection based approach for classification of motor imageries. Comput. Biol. Medicine 75: 45-53 (2016)
Coauthor Index
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