Infinite-Horizon Optimal Control Based on Continuous-Time Continuous-State Hopfield Neural Networks. - Ming-Ai Li; Naigong Yu; Junfei Qiao 001; Xiaogang Ruan (Int. J. Wavelets Multiresolution Inf. Process., 2006)

A tabu based neural network learning algorithm. - Jian Ye; Junfei Qiao 001; Ming-Ai Li; Xiaogang Ruan (Neurocomputing, 2007)

Modeling the Plasticity in Motor Cortex. - Dongmei Hao; Ming-Ai Li; Ying Li (BMEI (1), 2008)

An Improved CSP Algorithm and Application in Motor Imagery Recognition. - Mingai Li; Jingyu Liu; Dongmei Hao; Jinfu Yang (ICNC (2), 2009)

Feature Extraction and Classification of Mental EEG for Motor Imagery. - Ming-Ai Li; Rui Wang; Dongmei Hao; Jin-Fu Yang (ICNC (2), 2009)

An interactive intelligent robot system for supporting book acquisition. - Songmin Jia; Mimura Yusuke; Mingai Li; Jinfu Yang; Guoyu Zuo (ROBIO, 2009)

ECoG recognition of motor imagery based on SVM Ensemble. - Mingai Li; Jinfu Yang; Dongmei Hao; Songmin Jia (ROBIO, 2009)

An EEG-based method for detecting drowsy driving state. - Ming-Ai Li; Cheng Zhang; Jin-Fu Yang (FSKD, 2010)

Efficient robot object recognition technique based on distance Kernel PCA. - Jinfu Yang; Min Song; Mingai Li (ROBIO, 2010)

Place recognition based on Latent Dirichlet Allocation using Markov chain Monte Carlo method. - Tao Xie; Jinfu Yang; Mingai Li; Weiwei Zhao (ROBIO, 2013)

Robust monocular SLAM using one 3D point. - Weiwei Zhao; Jin-Fu Yang; Ming-Ai Li; Guanghui Wang 001 (CCECE, 2014)

Applying support vector regression analysis on grip force level-related corticomuscular coherence. - Yao Rong; Xixuan Han; Dongmei Hao; Liu Cao; Qing Wang; Mingai Li; Lijuan Duan; Yanjun Zeng (J. Comput. Neurosci., 2014)

Scene and place recognition using a hierarchical latent topic model. - Jinfu Yang; Shanshan Zhang; Guanghui Wang 001; Mingai Li (Neurocomputing, 2015)

An adaptive feature extraction method in BCI-based rehabilitation. - Mingai Li; Yan Cui; Dongmei Hao; Jinfu Yang (J. Intell. Fuzzy Syst., 2015)

Removing ocular artifacts from mixed EEG signals with FastKICA and DWT. - Mingai Li; Shuoda Guo; Guoyu Zuo; Yanjun Sun; Jinfu Yang (J. Intell. Fuzzy Syst., 2015)

A novel feature extraction method for scene recognition based on Centered Convolutional Restricted Boltzmann Machines. - Jingyu Gao; Jinfu Yang; Guanghui Wang 001; Mingai Li (Neurocomputing, 2016)

Extracting the nonlinear features of motor imagery EEG using parametric t-SNE. - Mingai Li; Xinyong Luo; Jin-Fu Yang (Neurocomputing, 2016)

A novel EEG feature extraction method based on OEMD and CSP algorithm. - Mingai Li; Shuoda Guo; Jinfu Yang; Yanjun Sun (J. Intell. Fuzzy Syst., 2016)

Applying a Locally Linear Embedding Algorithm for Feature Extraction and Visualization of MI-EEG. - Mingai Li; Xinyong Luo; Jinfu Yang; Yanjun Sun (J. Sensors, 2016)

Enhanced Deep Feature Representation for Person Search. - Jinfu Yang; Meijie Wang; Mingai Li; Jingling Zhang (CCCV (3), 2017)

Instance Semantic Segmentation via Scale-Aware Patch Fusion Network. - Jinfu Yang; Jingling Zhang; Mingai Li; Meijie Wang (CCCV (2), 2017)

Salient object detection based on global multi-scale superpixel contrast. - Jinfu Yang; Ying Wang; Guanghui Wang 001; Mingai Li (IET Comput. Vis., 2017)

Multi-channel and multi-scale mid-level image representation for scene classification. - Jinfu Yang; Fei Yang; Guanghui Wang 001; Mingai Li (J. Electronic Imaging, 2017)

DBRS2: dense boundary regression for semantic segmentation. - Jinfu Yang; Jingling Zhang; Mingai Li; Meijie Wang (J. Electronic Imaging, 2018)

An Improved Refined Composite Multivariate Multiscale Fuzzy Entropy Method for MI-EEG Feature Extraction. - Mingai Li; Ruotu Wang; Jinfu Yang; Lijuan Duan (Comput. Intell. Neurosci., 2019)

An Incremental Version of L-MVU for the Feature Extraction of MI-EEG. - Mingai Li; Hongwei Xi 003; Xiaoqing Zhu (Comput. Intell. Neurosci., 2019)

Decoding of motor imagery EEG based on brain source estimation. - Ming-Ai Li; Yifan Wang; Songmin Jia; Yanjun Sun; Jin-Fu Yang (Neurocomputing, 2019)

A Novel Multi-period Multivariate Multi-scale Phase Locking Value and its Application. - Ming-Ai Li; Lin Nan; Yu-xin Dong (ICCAE, 2020)

A Novel MI-EEG Imaging With the Location Information of Electrodes. - Ming-Ai Li; Jian-Fu Han; Lijuan Duan (IEEE Access, 2020)

A wrapped time-frequency combined selection in the source domain. - Ming-Ai Li; Yifan Wang; Xiaoqing Zhu; Jin-Fu Yang (Biomed. Signal Process. Control., 2020)

An Improved Composite Multiscale Fuzzy Entropy for Feature Extraction of MI-EEG. - Mingai Li; Ruotu Wang; Dongqin Xu (Entropy, 2020)

Subject-based dipole selection for decoding motor imagery tasks. - Ming-Ai Li; Yu-xin Dong; Yanjun Sun; Jin-Fu Yang; Lijuan Duan (Neurocomputing, 2020)

Key Band Image Sequences and A Hybrid Deep Neural Network for Recognition of Motor Imagery EEG. - Ming-Ai Li; Weimin Peng; Jin-Fu Yang (IEEE Access, 2021)

The Improved ELM Algorithms Optimized by Bionic WOA for EEG Classification of Brain Computer Interface. - Zhaoyang Lian; Lijuan Duan; Yuanhua Qiao; Juncheng Chen; Jun Miao; Mingai Li (IEEE Access, 2021)

Classification of epilepsy period based on combination feature extraction methods and spiking swarm intelligent optimization algorithm. - Lijuan Duan; Zhaoyang Lian; Juncheng Chen; Yuanhua Qiao; Jun Miao; Mingai Li (Concurr. Comput. Pract. Exp., 2021)

Automatic feature extraction and fusion recognition of motor imagery EEG using multilevel multiscale CNN. - Ming-Ai Li; Jian-Fu Han; Jin-Fu Yang (Medical Biol. Eng. Comput., 2021)

A dynamic directed transfer function for brain functional network-based feature extraction. - Mingai Li; Na Zhang (Brain Informatics, 2022)

Dense Face Network: A Dense Face Detector Based on Global Context and Visual Attention Mechanism. - Lin Song; Jin-Fu Yang; Qing-Zhen Shang; Ming-Ai Li (Int. J. Autom. Comput., 2022)

A lightweight network with attention decoder for real-time semantic segmentation. - Kang Wang; Jinfu Yang; Shuai Yuan; Mingai Li (Vis. Comput., 2022)

A dual alignment-based multi-source domain adaptation framework for motor imagery EEG classification. - Dongqin Xu; Ming-Ai Li (Appl. Intell., 2023)

Applying correlation analysis to electrode optimization in source domain. - Yuxin Dong; Linlin Wang; Mingai Li (Medical Biol. Eng. Comput., 2023)

Recognize enhanced temporal-spatial-spectral features with a parallel multi-branch CNN and GRU. - Linlin Wang; Mingai Li; Liyuan Zhang (Medical Biol. Eng. Comput., 2023)

An adaptive cross-class transfer learning framework with two-level alignment. - Dongqin Xu; Yanjun Sun; Ming-Ai Li (Biomed. Signal Process. Control., 2023)

A session-incremental broad learning system for motor imagery EEG classification. - Yufei Yang; Mingai Li; Hanlin Liu; Zhi Li (Biomed. Signal Process. Control., 2024)

A Novel Feature Fusion Approach for Classification of Motor Imagery EEG Based on Hierarchical Extreme Learning Machine. - Lijuan Duan; Zhaoyang Lian; Yuanhua Qiao; Juncheng Chen; Jun Miao; Mingai Li (Cogn. Comput., 2024)

CASCE: A Contrastive Representation Learning Framework for Motor Imagery EEG-Based Unilateral Upper Limb Decoding. - Junhui Wang; Mingai Li (IEEE Trans. Instrum. Meas., 2025)

An adaptive session-incremental broad learning system for continuous motor imagery EEG classification. - Yufei Yang; Mingai Li; Linlin Wang (Medical Biol. Eng. Comput., 2025)

SCDA-Net: Structure Completion and Density Awareness Network for LiDAR-Based 3D Object Detection. - Shuwen Wu; Jinfu Yang; Jiaqi Ma 005; Shaochen Zhang; Tianhao Hao; Mingai Li (IEEE Robotics Autom. Lett., 2025)

Motor imagery decoding network with multisubject dynamic transfer. - Zhi Li; Mingai Li; Yufei Yang (Brain Informatics, 2025)

Temporal feature fusion with deformable attention for multi-view 3D object detection. - Shaochen Zhang; Jinfu Yang; Tianhao Hao; Shuwen Wu; Mingai Li (Digit. Signal Process., 2026)

EEG-DTIL: An EEG-based dynamic task-incremental learning method for decoding ADL-oriented motor imagery pairs. - Yufei Yang; Mingai Li; Fubiao Huang (Expert Syst. Appl., 2026)