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ORCIDPeng Jia 0005
Person information
- affiliation (PhD 2019): Sichuan University, School of Cyber Science and Engineering, College of Cybersecurity, Chengdu, China
- affiliation (2015-2016): University of Ottawa, School of Computer Science, ON, Canada
Other persons with the same name
- Peng Jia — disambiguation page
- Peng Jia 0001
![[0000-0003-0110-3637]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-0110-3637")
— Wuhan University, School of Resource and Environmental Sciences, Wuhan, China (and 2 more) - Peng Jia 0002 — McGill University, Montreal, Canada
- Peng Jia 0003 — Discover Financial Services, Phoenix, AZ, USA
- Peng Jia 0004 — Xi'an Jiaotong University, Xi'an, Shaanxi, China
- Peng Jia 0006 — Nanjing University of Aeronautics and Astronautics, College of Astronautics, China (and 1 more)
Other persons with a similar name
- Jia-Peng Guo
- Jia-Peng Li
- Jia Peng Lim
- Jia Peng
- Jia-Hung Peng
- Jia-Yin Peng
- Jia Jiu Peng
- Jia Li Peng
- Jia-Peng Yang
- Peng-Jia Zou 0001 (aka: Pengjia Zou 0001) — Xidian University, National Key Laboratory of Radar Signal Processing, Xi'an, China
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2020 – today
- 2025
[j16]Xi Peng, Peng Jia, Ximing Fan, Jiayong Liu:
ENZZ: Effective N-gram coverage assisted fuzzing with nearest neighboring branch estimation. Inf. Softw. Technol. 177: 107582 (2025)- 2023
- [j15]Yan Wang, Peng Jia, Xi Peng, Cheng Huang, Jiayong Liu:
BinVulDet: Detecting vulnerability in binary program via decompiled pseudo code and BiLSTM-attention. Comput. Secur. 125: 103023 (2023) - [j14]Jiangheng Kou, Peng Jia, Jiayong Liu, Jinqiao Dai, Hairu Luo:
Identify influential nodes in social networks with graph multi-head attention regression model. Neurocomputing 530: 23-36 (2023) - [j13]Pengsen Cheng, Jinqiao Dai, Jiamiao Liu, Jiayong Liu, Peng Jia:
Reinforcement learning for few-shot text generation adaptation. Neurocomputing 558: 126689 (2023) - [j12]Peng Jia, Jiangheng Kou, Jiayong Liu, Jinqiao Dai, Hairu Luo:
SRFA-GRL: Predicting group influence in social networks with graph representation learning. Inf. Sci. 638: 118960 (2023) - 2022
- [j11]Xiao-Wang Wu, Yan Wang, Yong Fang, Peng Jia:
Embedding vector generation based on function call graph for effective malware detection and classification. Neural Comput. Appl. 34(11): 8643-8656 (2022) - 2021
- [j10]Li Li, Jiayong Liu, Peng Jia:
SecTEP: Enabling secure tender evaluation with sealed prices and quality evaluation in procurement bidding systems over blockchain. Comput. Secur. 103: 102188 (2021) - [j9]Lin Liu, Wang Ren, Feng Xie, Shengwei Yi, Junkai Yi, Peng Jia:
Learning-Based Detection for Malicious Android Application Using Code Vectorization. Secur. Commun. Networks 2021: 9964224:1-9964224:11 (2021) - 2020
- [j8]Li Jia, Anmin Zhou, Peng Jia, Luping Liu, Yan Wang, Liang Liu:
A Neural Network-Based Approach for Cryptographic Function Detection in Malware. IEEE Access 8: 23506-23521 (2020) - [j7]Gouheng Zhao, Peng Jia, Cheng Huang, Anmin Zhou, Yong Fang:
A Machine Learning Based Framework for Identifying Influential Nodes in Complex Networks. IEEE Access 8: 65462-65471 (2020) - [j6]Gouheng Zhao, Peng Jia, Anmin Zhou, Bing Zhang:
InfGCN: Identifying influential nodes in complex networks with graph convolutional networks. Neurocomputing 414: 18-26 (2020) - [j5]Li Li, Jiayong Liu, Peng Jia:
SPCTR: Sealed Auction-Based Procurement for Closest Pre-Tender with Range Validation. Secur. Commun. Networks 2020: 8872617:1-8872617:12 (2020)
2010 – 2019
- 2019
- [j4]Hanfang Zhang, Anmin Zhou, Peng Jia, Luping Liu, Jinxin Ma, Liang Liu:
InsFuzz: Fuzzing Binaries With Location Sensitivity. IEEE Access 7: 22434-22444 (2019) - [j3]Xinyue Huang, Anmin Zhou, Peng Jia, Luping Liu, Liang Liu:
Fuzzing the Android Applications With HTTP/HTTPS Network Data. IEEE Access 7: 59951-59962 (2019) - [j2]Yixin Wu, Yuqiang Sun, Cheng Huang, Peng Jia, Luping Liu:
Session-Based Webshell Detection Using Machine Learning in Web Logs. Secur. Commun. Networks 2019: 3093809:1-3093809:11 (2019) - [i1]Yan Wang, Peng Jia, Luping Liu, Jiayong Liu:
A systematic review of fuzzing based on machine learning techniques. CoRR abs/1908.01262 (2019) - 2018
- [j1]Jing Zhang, Anmin Zhou, Liang Liu, Peng Jia, Luping Liu:
Crash可利用性分析方法研究综述 (Review of Crash Exploitability Analysis Methods). 计算机科学 45(5): 5-14 (2018) - 2015
- [c2]Peng Jia, Xiang He, Liang Liu, Binjie Gu, Yong Fang:
A framework for privacy information protection on Android. ICNC 2015: 1127-1131 - [c1]Binjie Gu, Yong Fang, Peng Jia, Liang Liu, Lei Zhang, Meilin Wang:
A New Static Detection Method of Malicious Document Based on Wavelet Package Analysis. IIH-MSP 2015: 333-336
Coauthor Index
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