A fast sequence assembly method based on compressed data structures. - Peifeng Liang; Yancong Zhang; Kui Lin; Jinglu Hu (EMBC, 2014)

Non-local information for a mixture of multiple linear classifiers. - Weite Li; Peifeng Liang; Xin Yuan 010; Jinglu Hu (IJCNN, 2017)

Large-scale image classification using fast SVM with deep quasi-linear kernel. - Peifeng Liang; Weite Li; Donghang Liu; Jinglu Hu (IJCNN, 2017)

Improved Recommendations Based on Trust Relationships in Social Networks. - Hao Tian 002; Peifeng Liang (Future Internet, 2017)

Personalized Service Recommendation Based on Trust Relationship. - Hao Tian 002; Peifeng Liang (Sci. Program., 2017)

A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine. - Peifeng Liang; Xin Yuan 010; Weite Li; Jinglu Hu (ICPR, 2018)

One-Class Classification Using Quasi-Linear Support Vector Machine. - Peifeng Liang; Weite Li; Yudong Wang; Jinglu Hu (SMC, 2018)

A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM. - Peifeng Liang; Xueqin Yao; Jinglu Hu (SMC, 2018)

A fault detection model for edge computing security using imbalanced classification. - Peifeng Liang; Gang Liu; Zenggang Xiong; Honghui Fan; Hongjin Zhu; Xuemin Zhang (J. Syst. Archit., 2022)

A facial geometry based detection model for face manipulation using CNN-LSTM architecture. - Peifeng Liang; Gang Liu; Zenggang Xiong; Honghui Fan; Hongjin Zhu; Xuemin Zhang (Inf. Sci., 2023)

Multilevel Intrusion Detection Based on Transformer and Wavelet Transform for IoT Data Security. - Peifeng Liang; Lina Yang; Zenggang Xiong; Xuemin Zhang; Gang Liu (IEEE Internet Things J., 2024)