李洪利｜武汉工程大学｜学者主页

期刊论文

2026

Efficient Affective EEG Classification Based on Multi-Attention Fusion Transformer Network

Jia-Yu Li, Hongli Li, Jinsheng Liu

Applied Sciences

DOI

2026

Cross-subject motor imagery EEG signal classification based on meta-transfer learning.

Hongli Li, Jinsheng Liu, Jiayu Li

Computer Methods in Biomechanics and Biomedical Engineering

DOI

2026

EEG emotion recognition using a channel-aware feature encoder and XGBoost classifier.

Hongli Li, Jia-Yu Li, Jinsheng Liu

Computer Methods in Biomechanics and Biomedical Engineering

DOI

2024

Emotion recognition based on 3D matrices and two-way densely connected network

Hongli Li, Congcong Du, Zhuocheng Liu, Jiahao Liu, Haoyu Liu

Signal, Image and Video Processing

DOI

2024

A novel transfer algorithm based on time convolution and EEGNet for motor imagery classification

Hongli Li, Congcong Du, Jiahao Liu, Feichao Yin, Xin Ma

Chinese Control and Decision Conference

DOI

2023

A parallel multi-scale time-frequency block convolutional neural network based on channel attention module for motor imagery classification

Hongli Li, Hongyu Chen, Zi-Yu Jia, Ronghua Zhang, Feichao Yin

Biomedical Signal Processing and Control

DOI

2023

[Multi-scale feature extraction and classification of motor imagery electroencephalography based on time series data enhancement].

Hongli Li, Haoyu Liu, Hongyu Chen, Ronghua Zhang

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi

DOI

2022

Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network

Hongli Li, Man Ding, Rong-Hua Zhang, Chunbo Xiu

Biomedical Signal Processing and Control

DOI

2022

[Motor imagery electroencephalogram classification based on sparse spatiotemporal decomposition and channel attention].

Hongli Li, Feichao Yin, Ronghua Zhang, Xin Ma, Hongyu Chen

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi

DOI

2022

Feature Recognition and Classification Based on Hyperspectral Data Mining

Mingliang Wang, Li Ying, Canghai Guan, Hongli Li

2021

Variable length particle swarm optimization and multi-feature deep fusion for motor imagery EEG classification.

Hongli Li, Wei Guo, Ronghua Zhang, Chunbo Xiu

Biochemical and Biophysical Research Communications - BBRC

DOI

2011

一种高保真同态滤波遥感影像薄云去除方法

李洪利，沈焕锋，杜博，吴柯

《遥感信息》

会议论文

2023

Research on Feature Fusion Based on CNN-LSTM Network for Motion Imagery EEG Classification

Hongli Li, Haoyu Liu, Youliang Wang, Man Ding, Xin Ma

《第35届中国控制与决策会议论文集（6）》

DOI

预印本

2026

WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation

Yulin Wang, Mengting Hu, Hongli Li, Jianghao Zhou, Chen Luo

arXiv preprint

DOI

2025

HccePose(BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation

Yulin Wang, Mengting Hu, Hongli Li, Chen Luo

arXiv preprint

李洪利

精选作品

期刊论文

Efficient Affective EEG Classification Based on Multi-Attention Fusion Transformer Network

Cross-subject motor imagery EEG signal classification based on meta-transfer learning.

EEG emotion recognition using a channel-aware feature encoder and XGBoost classifier.

Emotion recognition based on 3D matrices and two-way densely connected network

A novel transfer algorithm based on time convolution and EEGNet for motor imagery classification

A parallel multi-scale time-frequency block convolutional neural network based on channel attention module for motor imagery classification

[Multi-scale feature extraction and classification of motor imagery electroencephalography based on time series data enhancement].

Motor imagery EEG classification algorithm based on CNN-LSTM feature fusion network

[Motor imagery electroencephalogram classification based on sparse spatiotemporal decomposition and channel attention].

Feature Recognition and Classification Based on Hyperspectral Data Mining

Variable length particle swarm optimization and multi-feature deep fusion for motor imagery EEG classification.

一种高保真同态滤波遥感影像薄云去除方法

会议论文

Research on Feature Fusion Based on CNN-LSTM Network for Motion Imagery EEG Classification

预印本

WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation

HccePose(BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation

研究方向