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Hongmiao Zhang
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2020 – today
- 2025
- [j6]Xiaojian Liao, Guang Li, You Wang, Lining Sun, Hongmiao Zhang:
Constructing lightweight and efficient spiking neural networks for EEG-based motor imagery classification. Biomed. Signal Process. Control. 100: 107000 (2025) - 2023
- [j5]Xiaojian Liao, Yuli Wu, Zi Wang, Deheng Wang, Hongmiao Zhang:
A convolutional spiking neural network with adaptive coding for motor imagery classification. Neurocomputing 549: 126470 (2023) - [c15]Fanmu Qiu, Hongmiao Zhang, Xinjian Fan, Zhan Yang:
A FPGA-based integrated DAQ system towards to BCI signal transmission. CBS 2023: 311-314 - [c14]Sui Liang, Yin Xu, Zhaohua Yuan, Lining Sun, Weida Li, Hongmiao Zhang:
A Variable-speed Silent Speech Recognition Method based on Surface Electromyography Signal. ICARM 2023: 798-802 - 2022
- [c13]Yin Xu, Shilai Ding, Sui Liang, Zhaohua Yuan, Lining Sun, Deheng Wang, Hongmiao Zhang:
A Study on the Correlation between Electrooculography Attention Level and Motor Intention Accuracy in Motor Imagery. ICARM 2022: 113-117 - [c12]Haomin Bai, Hongmiao Zhang, Wenying Xu, Wangli He:
Distributed Online Algorithm with Inertia for Seeking Generalized Nash Equilibria. IECON 2022: 1-6 - 2021
- [j4]Ziwu Ren, Rihui Li, Bin Chen, Hongmiao Zhang, Yuliang Ma, Chushan Wang, Ying Lin, Yingchun Zhang:
EEG-Based Driving Fatigue Detection Using a Two-Level Learning Hierarchy Radial Basis Function. Frontiers Neurorobotics 15: 618408 (2021) - 2020
- [c11]Fanqi Li, Hongmiao Zhang, Wei Dong, Juan Li, Weida Li, Lining Sun:
Surface Electromyography and Force Study for Progressive Rehabilitation Training during Different Modes. ICARM 2020: 157-162
2010 – 2019
- 2019
- [c10]Haifeng Zhou, Xinqiao Zhao, Hongmiao Zhang, Shaolong Kuang:
The Mechanism of a Multi-Branch Structure for EEG-Based Motor Imagery Classification. ROBIO 2019: 2473-2477 - 2018
- [j3]Jiacheng Xu, Chunguang Li, Hongmiao Zhang, Juan Li, Hedian Jin, Wei Qu, Lining Sun:
A Pilot Study Based on Cerebral Hemoglobin Information to Classify the Desired Walking Speed. IEEE Robotics Autom. Lett. 3(1): 532-536 (2018) - [c9]Shilai Ding, Hongmiao Zhang, Juan Li, Chunguang Li, Lining Sun:
Study of A Brain-Controlled Switch during Motor Imagery. ICARM 2018: 152-157 - 2017
- [c8]Qihuan Zhu, Zailiang Chen, Weida Li, Xiaowei Cai, Xiao Zhang, Hongmiao Zhang, Juan Li:
Structure design and analysis of compliant human-machine interface mechanism for exoskeletons. ARSO 2017: 1-6 - [c7]Jiali Yu, Zhiyuan Zhao, Yongqiang Wu, Wei Jiang, Hao Guo, Juan Li, Fei Qi, Hongmiao Zhang:
The coupling model between the upper and lower limbs during bipedal walking. I2MTC 2017: 1-6 - [c6]Jiacheng Xu, Chunguang Li, Juan Li, Hongmiao Zhang, Hedian Jin, Wei Qu, Lining Sun:
Classification of desired motion speed - A study based on cerebral hemoglobin information. ICARM 2017: 115-119 - [c5]Cheng Fan, Qizhi Zhao, Lei Zhang, Hongmiao Zhang:
Development of the polishing tool system based on the pneumatic force servo. ICARM 2017: 126-131 - [c4]Zhiyuan Zhao, Jiali Yu, Yongqiang Wu, Juan Li, Hao Guo, Hongmiao Zhang, Lining Sun:
Study of electroencephalogram feature extraction and classification of three tasks of motor imagery. ICARM 2017: 492-497 - 2016
- [c3]Yanxiang Sui, Chunguang Li, Juan Li, Hao Guo, Hongmiao Zhang, Hedian Jin:
Classification of desired motion speed-based on cerebral hemoglobin information. SII 2016: 320-324 - 2015
- [j2]Hanbo Chen, Tao Liu, Yu Zhao, Tuo Zhang, Yujie Li, Meng Li, Hongmiao Zhang, Hui Kuang, Lei Guo, Joe Z. Tsien, Tianming Liu:
Optimization of large-scale mouse brain connectome via joint evaluation of DTI and neuron tracing data. NeuroImage 115: 202-213 (2015) - 2014
- [c2]Zhichao Lian, Xiang Li, Hongmiao Zhang, Hui Kuang, Kun Xie, Jianchuan Xing, Dajiang Zhu, Joe Z. Tsien, Tianming Liu, Jing Zhang:
Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model. ISBI 2014: 17-20 - [c1]Hanbo Chen, Yu Zhao, Tuo Zhang, Hongmiao Zhang, Hui Kuang, Meng Li, Joe Z. Tsien, Tianming Liu:
Construct and Assess Multimodal Mouse Brain Connectomes via Joint Modeling of Multi-scale DTI and Neuron Tracer Data. MICCAI (3) 2014: 273-280 - 2011
- [j1]Meng Hu, Hongmiao Zhang, Hualou Liang:
Extraction of microsaccade-related signal from single-trial local field potential by ICA with reference. Neural Comput. Appl. 20(8): 1181-1186 (2011)
Coauthor Index
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