A Perceptual Weighting Filter Based on ISP Pseudo-cepstrum and Its Application in AMR-WB. - Fenglian Li; Xueying Zhang (ISNN (3), 2009)

A Robust Audio Zero-Watermarking Algorithm Based on Wavelet Packet Analysis. - Xueying Zhang; Wei Zhang; Fenglian Li; Guangyu Liu (ECC (1), 2014)

Robust support vector data description for outlier detection with noise or uncertain data. - Guijun Chen; Xueying Zhang; Zizhong John Wang; Fenglian Li (Knowl. Based Syst., 2015)

An AFK-SVD Sparse Representation Approach for Speech Signal Processing. - Fenglian Li; Xueying Zhang; Hongle Zhang; Yu-Chu Tian (IIH-MSP (2), 2017)

Revealing the densest communities of social networks efficiently through intelligent data space reduction. - Tao Han; Yu-Chu Tian; Yuqing Lan; Fenglian Li; Limin Xiao (Expert Syst. Appl., 2018)

Cost-sensitive and hybrid-attribute measure multi-decision tree over imbalanced data sets. - Fenglian Li; Xueying Zhang; Xiqian Zhang; Chunlei Du; Yue Xu 001; Yu-Chu Tian (Inf. Sci., 2018)

Control-theoretic adaptive cache-fair scheduling of chip multiprocessor systems. - Huseyin G. Arslan; Yu-Chu Tian; Fenglian Li; Chen Peng 001; Minrui Fei (Trans. Inst. Meas. Control, 2018)

Features of Hierarchical Fuzzy Entropy of Stroke Based on EEG Signal and Its Application in Stroke Classification. - Fenglian Li; Can Wang; Xueying Zhang; Fengyun Hu; Wenhui Jia; Yuzhou Fan (BigDataService, 2019)

Fuzzy Support Vector Machine with Imbalanced Regulator and its Application in Stroke Classification. - Xueying Zhang; Xin Wei; Fenglian Li; Fengyun Hu; Wenhui Jia; Chao Wang (BigDataService, 2019)

Quantitative Electroencephalography Analysis for Improved Assessment of Consciousness in Cerebral Hemorrhage and Ischemic Stroke Patients. - Fang Wang 027; Xueying Zhang; Fengyun Hu; Fenglian Li; Yu-Chu Tian (IEEE Access, 2019)

Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke Patients. - Fang Wang 027; Xueying Zhang; Fengyun Hu; Fenglian Li; Yi Zhang; Yu-Chu Tian (IEEE Access, 2019)

A Partitioning-Stacking Prediction Fusion Network Based on an Improved Attention U-Net for Stroke Lesion Segmentation. - Haisheng Hui; Xueying Zhang; Fenglian Li; Xiaobi Mei; Yuling Guo 001 (IEEE Access, 2020)

A Novel Learning Rate Function and Its Application on the SVD++ Recommendation Algorithm. - Jiangli Jiao; Xueying Zhang; Fenglian Li; Yan Wang (IEEE Access, 2020)

Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification. - Fenglian Li; Yuzhou Fan; Xueying Zhang; Can Wang; Fengyun Hu; Wenhui Jia; Haisheng Hui (J. Medical Syst., 2020)

Dual-Path Attention Compensation U-Net for Stroke Lesion Segmentation. - Haisheng Hui; Xueying Zhang; Zelin Wu; Fenglian Li (Comput. Intell. Neurosci., 2021)

A 1D-CNN prediction model for stroke classification based on EEG signal. - Teng Wang; Fenglian Li; Xueying Zhang; Lixia Huang; Wenhui Jia (ICCIP, 2022)

Multi-scale long-range interactive and regional attention network for stroke lesion segmentation. - Zelin Wu; Xueying Zhang; Fenglian Li; Suzhe Wang; Lixia Huang (Comput. Electr. Eng., 2022)

Face Recognition in Single Sample Per Person Fusing Multi-Scale Features Extraction and Virtual Sample Generation Methods. - Fenglian Li; Tiantian Yuan; Yan Zhang; Wenpei Liu (Frontiers Appl. Math. Stat., 2022)

A novel brain-computer interface based on audio-assisted visual evoked EEG and spatial-temporal attention CNN. - Guijun Chen; Xueying Zhang; Jing Zhang; Fenglian Li; Shufei Duan (Frontiers Neurorobotics, 2022)

Improved FCM Clustering Algorithm Based on Learning Automata and its Application. - Fenglian Li; Zeyi Guo; Xueying Zhang; Jinyi Zhang; Fengyun Hu; Wenhui Jia (ICCIP, 2023)

Stroke lesion segmentation model based on convolutional fusion and an improved attention mechanism. - Weili Wang; Yanzhe Gao; Fenglian Li; Xueying Zhang; Yan Zhang; Xiaohui Li; Zelin Wu (Comput. Electr. Eng., 2023)

W-Net: A boundary-enhanced segmentation network for stroke lesions. - Zelin Wu; Xueying Zhang; Fenglian Li; Suzhe Wang; Lixia Huang; Jiaying Li (Expert Syst. Appl., 2023)

Speech emotion recognition based on optimized deep features of dual-channel complementary spectrogram. - Juan Li; Xueying Zhang; Fenglian Li; Lixia Huang (Inf. Sci., 2023)

Stroke-CVAE-CGAN: A Medical Imaging Data Augmentation Network Incorporating Stroke Lesion Distribution. - Haisheng Hui; Xueying Zhang; Fenglian Li; Zelin Wu (DSAA, 2024)

Stroke Prediction Using a Stacked Ensemble Classifier. - Fenglian Li; Grace Selina Deede Mintah (ICCIP, 2024)

A feature-enhanced network for stroke lesion segmentation from brain MRI images. - Zelin Wu; Xueying Zhang; Fenglian Li; Suzhe Wang; Jiaying Li (Comput. Biol. Medicine, 2024)

Stroke classification based on deep reinforcement learning over stroke screening imbalanced data. - Ting Zuo; Fenglian Li; Xueying Zhang; Fengyun Hu; Lixia Huang; Wenhui Jia (Comput. Electr. Eng., 2024)

Multi-agent reinforcement learning clustering algorithm based on silhouette coefficient. - Peng Du; Fenglian Li; Jianli Shao (Neurocomputing, 2024)

Acoustic-articulatory emotion recognition using multiple features and parameter-optimized cascaded deep learning network. - Juan Li; Xueying Zhang; Fenglian Li; Shufei Duan; Lixia Huang (Knowl. Based Syst., 2024)

Boundary-focused multi-scale network for stroke lesion segmentation. - Chenhong Liu; Fenglian Li; Weili Wang; Suzhe Wang; Guijun Chen (Comput. Electr. Eng., 2025)

Enhanced multilayer extreme learning machine for imbalanced dataset: Optimized cost regulation and hierarchical parameter adaptation. - Fenglian Li; Yuyu Zhang; Weili Wang; Lixia Huang; Guijun Chen; Wenhui Jia (Inf. Sci., 2025)

A dynamic multiobjective recommendation method based on soft actor-critic with discrete actions. - Jun Luo; Fenglian Li; Jiangli Jiao (J. King Saud Univ. Comput. Inf. Sci., 2025)