梁培峰｜江苏理工学院｜学者主页

2026

A Physics-Informed Neural Network for Graph-Based Network Traffic Prediction

Yuhao Zhang, Yuhao Feng, S L Zhang, Peifeng Liang, Wei Guan

Electronics

DOI

2025

Sequential Malicious Network Traffic Detection Based on Wavelet Kolmogorov-Arnold Networks

Yuhao Feng, Yuhao Zhang, Peifeng Liang, Tan Guosheng, Jieyi Zan, Ye Zhuang

DOI

2024

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 of Things Journal

DOI

2024

Leveraging Time-Critical Computation and AI Techniques for Task Offloading in Internet of Vehicles Network Applications

Peifeng Liang, Wenhe Chen, Honghui Fan, Hongjin Zhu

Electronics

DOI

2022

A fault detection model for edge computing security using imbalanced classification

Peifeng Liang, Gang Liu, Zenggang Xiong, Honghui Fan, Hongjin Zhu, Xuemin Zhang

Journal of Systems Architecture

DOI

2019

Fast SVM training using data reconstruction for classification of very large datasets

Peifeng Liang, Wei-Te Li, Jinglu Hu

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING

DOI

2019

An autoencoder‐based piecewise linear model for nonlinear classification using quasilinear support vector machines

Wei-Te Li, Peifeng Liang, Jinglu Hu

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING

DOI

2018

A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM

Peifeng Liang, X. Yao, Jinglu Hu

IEEE International Conference on Systems, Man and Cybernetics

DOI

2018

A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine

Peifeng Liang, Xin Yuan, Wei-Te Li, Jinglu Hu

International Conference on Pattern Recognition

DOI

2018

One-Class Classification Using Quasi-Linear Support Vector Machine

Peifeng Liang, Wei-Te Li, Yudong Wang, Jinglu Hu

IEEE International Conference on Systems, Man and Cybernetics

DOI

2018

Oversampling the minority class in a multi‐linear feature space for imbalanced data classification

Peifeng Liang, Wei-Te Li, Jinglu Hu

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING

DOI

2018

Quasi‐linear SVM classifier with segmented local offsets for imbalanced data classification

Peifeng Liang, Feng Zheng, Wei-Te Li, Jinglu Hu

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING

DOI

2018

One‐class classification using a support vector machine with a quasi‐linear kernel

Peifeng Liang, Wei-Te Li, Hao Tian, Jinglu Hu

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING

DOI

2017

Large-scale image classification using fast SVM with deep quasi-linear kernel

Peifeng Liang, Wei-Te Li, Dong-Hang Liu, Jinglu Hu

IEEE International Joint Conference on Neural Network

DOI

2017

Non-local information for a mixture of multiple linear classifiers

Wei-Te Li, Peifeng Liang, Xin Yuan, Jinglu Hu

IEEE International Joint Conference on Neural Network

DOI

梁培峰

精选作品

期刊论文

A Physics-Informed Neural Network for Graph-Based Network Traffic Prediction

Sequential Malicious Network Traffic Detection Based on Wavelet Kolmogorov-Arnold Networks

Multilevel Intrusion Detection Based on Transformer and Wavelet Transform for IoT Data Security

Leveraging Time-Critical Computation and AI Techniques for Task Offloading in Internet of Vehicles Network Applications

A fault detection model for edge computing security using imbalanced classification

Fast SVM training using data reconstruction for classification of very large datasets

An autoencoder‐based piecewise linear model for nonlinear classification using quasilinear support vector machines

A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM

A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine

One-Class Classification Using Quasi-Linear Support Vector Machine

Oversampling the minority class in a multi‐linear feature space for imbalanced data classification

Quasi‐linear SVM classifier with segmented local offsets for imbalanced data classification

One‐class classification using a support vector machine with a quasi‐linear kernel

Large-scale image classification using fast SVM with deep quasi-linear kernel

Non-local information for a mixture of multiple linear classifiers

研究方向