Fenglian Li

Orcid: 0000-0002-3923-6534

According to our database1, Fenglian Li authored at least 28 papers between 2009 and 2024.

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Bibliography

2024
Acoustic-articulatory emotion recognition using multiple features and parameter-optimized cascaded deep learning network.
Knowl. Based Syst., 2024

Multi-agent reinforcement learning clustering algorithm based on silhouette coefficient.
Neurocomputing, 2024

Stroke classification based on deep reinforcement learning over stroke screening imbalanced data.
Comput. Electr. Eng., 2024

A feature-enhanced network for stroke lesion segmentation from brain MRI images.
Comput. Biol. Medicine, 2024

Stroke-CVAE-CGAN: A Medical Imaging Data Augmentation Network Incorporating Stroke Lesion Distribution.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023
Speech emotion recognition based on optimized deep features of dual-channel complementary spectrogram.
Inf. Sci., November, 2023

W-Net: A boundary-enhanced segmentation network for stroke lesions.
Expert Syst. Appl., November, 2023

Stroke lesion segmentation model based on convolutional fusion and an improved attention mechanism.
Comput. Electr. Eng., October, 2023

Improved FCM Clustering Algorithm Based on Learning Automata and its Application.
Proceedings of the 9th International Conference on Communication and Information Processing, 2023

2022
A novel brain-computer interface based on audio-assisted visual evoked EEG and spatial-temporal attention CNN.
Frontiers Neurorobotics, September, 2022

Face Recognition in Single Sample Per Person Fusing Multi-Scale Features Extraction and Virtual Sample Generation Methods.
Frontiers Appl. Math. Stat., 2022

Multi-scale long-range interactive and regional attention network for stroke lesion segmentation.
Comput. Electr. Eng., 2022

A 1D-CNN prediction model for stroke classification based on EEG signal.
Proceedings of the 8th International Conference on Communication and Information Processing, 2022

2021
Dual-Path Attention Compensation U-Net for Stroke Lesion Segmentation.
Comput. Intell. Neurosci., 2021

2020
Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification.
J. Medical Syst., 2020

A Novel Learning Rate Function and Its Application on the SVD++ Recommendation Algorithm.
IEEE Access, 2020

A Partitioning-Stacking Prediction Fusion Network Based on an Improved Attention U-Net for Stroke Lesion Segmentation.
IEEE Access, 2020

2019
Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke Patients.
IEEE Access, 2019

Quantitative Electroencephalography Analysis for Improved Assessment of Consciousness in Cerebral Hemorrhage and Ischemic Stroke Patients.
IEEE Access, 2019

Fuzzy Support Vector Machine with Imbalanced Regulator and its Application in Stroke Classification.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

Features of Hierarchical Fuzzy Entropy of Stroke Based on EEG Signal and Its Application in Stroke Classification.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

2018
Control-theoretic adaptive cache-fair scheduling of chip multiprocessor systems.
Trans. Inst. Meas. Control, 2018

Cost-sensitive and hybrid-attribute measure multi-decision tree over imbalanced data sets.
Inf. Sci., 2018

Revealing the densest communities of social networks efficiently through intelligent data space reduction.
Expert Syst. Appl., 2018

2017
An AFK-SVD Sparse Representation Approach for Speech Signal Processing.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

2015
Robust support vector data description for outlier detection with noise or uncertain data.
Knowl. Based Syst., 2015

2014
A Robust Audio Zero-Watermarking Algorithm Based on Wavelet Packet Analysis.
Proceedings of the Intelligent Data analysis and its Applications, Volume I, 2014

2009
A Perceptual Weighting Filter Based on ISP Pseudo-cepstrum and Its Application in AMR-WB.
Proceedings of the Advances in Neural Networks, 2009


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