Peng Jia

According to our database, Peng Jia authored at least 19 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

ENZZ: Effective N-gram coverage assisted fuzzing with nearest neighboring branch estimation.

Xi Peng, Peng Jia, Ximing Fan, Jiayong Liu

Inf. Softw. Technol., 2025

2023

Reinforcement learning for few-shot text generation adaptation.

Pengsen Cheng, Jinqiao Dai, Jiamiao Liu, Jiayong Liu, Peng Jia

Neurocomputing, November, 2023

SRFA-GRL: Predicting group influence in social networks with graph representation learning.

Peng Jia, Jiangheng Kou, Jiayong Liu, Jinqiao Dai, Hairu Luo

Inf. Sci., August, 2023

Identify influential nodes in social networks with graph multi-head attention regression model.

Jiangheng Kou, Peng Jia, Jiayong Liu, Jinqiao Dai, Hairu Luo

Neurocomputing, April, 2023

BinVulDet: Detecting vulnerability in binary program via decompiled pseudo code and BiLSTM-attention.

Yan Wang, Peng Jia, Xi Peng, Cheng Huang, Jiayong Liu

Comput. Secur., 2023

2022

Embedding vector generation based on function call graph for effective malware detection and classification.

Xiao-Wang Wu, Yan Wang, Yong Fang, Peng Jia

Neural Comput. Appl., 2022

2021

Learning-Based Detection for Malicious Android Application Using Code Vectorization.

Lin Liu, Wang Ren, Feng Xie, Shengwei Yi, Junkai Yi, Peng Jia

Secur. Commun. Networks, 2021

SecTEP: Enabling secure tender evaluation with sealed prices and quality evaluation in procurement bidding systems over blockchain.

Li Li, Jiayong Liu, Peng Jia

Comput. Secur., 2021

2020

SPCTR: Sealed Auction-Based Procurement for Closest Pre-Tender with Range Validation.

Li Li, Jiayong Liu, Peng Jia

Secur. Commun. Networks, 2020

InfGCN: Identifying influential nodes in complex networks with graph convolutional networks.

Gouheng Zhao, Peng Jia, Anmin Zhou, Bing Zhang

Neurocomputing, 2020

A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks.

Gouheng Zhao, Peng Jia, Cheng Huang, Anmin Zhou, Yong Fang

IEEE Access, 2020

A Neural Network-Based Approach for Cryptographic Function Detection in Malware.

Li Jia, Anmin Zhou, Peng Jia, Luping Liu, Yan Wang, Liang Liu

IEEE Access, 2020

2019

Session-Based Webshell Detection Using Machine Learning in Web Logs.

Yixin Wu, Yuqiang Sun, Cheng Huang, Peng Jia, Luping Liu

Secur. Commun. Networks, 2019

A systematic review of fuzzing based on machine learning techniques.

Yan Wang, Peng Jia, Luping Liu, Jiayong Liu

CoRR, 2019

InsFuzz: Fuzzing Binaries With Location Sensitivity.

Hanfang Zhang, Anmin Zhou, Peng Jia, Luping Liu, Jinxin Ma, Liang Liu

IEEE Access, 2019

Fuzzing the Android Applications With HTTP/HTTPS Network Data.

Xinyue Huang, Anmin Zhou, Peng Jia, Luping Liu, Liang Liu

IEEE Access, 2019

2018

Crash可利用性分析方法研究综述 (Review of Crash Exploitability Analysis Methods).

Jing Zhang, Anmin Zhou, Liang Liu, Peng Jia, Luping Liu

计算机科学, 2018

2015

A New Static Detection Method of Malicious Document Based on Wavelet Package Analysis.

Binjie Gu, Yong Fang, Peng Jia, Liang Liu, Lei Zhang, Meilin Wang

Proceedings of the 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2015

A framework for privacy information protection on Android.

Peng Jia, Xiang He, Liang Liu, Binjie Gu, Yong Fang

Proceedings of the International Conference on Computing, Networking and Communications, 2015