Jiayong Liu

According to our database, Jiayong Liu authored at least 56 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• 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

2024

bjEnet: a fast and accurate software bug localization method in natural language semantic space.

Jiaxuan Han, Cheng Huang, Jiayong Liu

Softw. Qual. J., December, 2024

Attack detection model for BCoT based on contrastive variational autoencoder and metric learning.

Chunwang Wu, Xiaolei Liu, Kangyi Ding, Bangzhou Xin, Jiazhong Lu, Jiayong Liu, Cheng Huang

J. Cloud Comput., December, 2024

A variational selection mechanism for article comment generation.

Jiamiao Liu, Pengsen Cheng, Jinqiao Dai, Jiayong Liu

Expert Syst. Appl., March, 2024

Towards robust image watermarking via random distortion assignment based meta-learning.

Shenglie Zhou, Peisong He, Jiayong Liu, Jie Luo

J. Vis. Commun. Image Represent., 2024

Joint relational triple extraction with enhanced representation and binary tagging framework in cybersecurity.

Xiaodi Wang, Zhonglin Liu, Jiayong Liu

Comput. Secur., 2024

bjCnet: A contrastive learning-based framework for software defect prediction.

Jiaxuan Han, Cheng Huang, Jiayong Liu

Comput. Secur., 2024

Emotion Cause Extraction in Conversations with Response Graphing.

Yuanhe Tian, Pengsen Cheng, Fei Xia, Jiayong Liu, Yongdong Zhang, Yan Song

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Preserving Content in Text Style Transfer via Normalizing Flow and Adversarial Learning.

Jinqiao Dai, Pengsen Cheng, Yan Song, Jiayong Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2024

2023

DiffuCom: A novel diffusion model for comment generation.

Jiamiao Liu, Pengsen Cheng, Jinqiao Dai, Jiayong Liu

Knowl. Based Syst., December, 2023

Reversible adversarial steganography for security enhancement.

Jie Luo, Peisong He, Jiayong Liu, Hongxia Wang, Chunwang Wu, Shenglie Zhou

J. Vis. Commun. Image Represent., December, 2023

Reinforcement learning for few-shot text generation adaptation.

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

Neurocomputing, November, 2023

A framework for threat intelligence extraction and fusion.

Yongyan Guo, Zhengyu Liu, Cheng Huang, Nannan Wang, Hai Min, Wenbo Guo, Jiayong Liu

Comput. Secur., September, 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

bjXnet: an improved bug localization model based on code property graph and attention mechanism.

Jiaxuan Han, Cheng Huang, Siqi Sun, Zhonglin Liu, Jiayong Liu

Autom. Softw. Eng., June, 2023

Improving security for image steganography using content-adaptive adversarial perturbations.

Jie Luo, Peisong He, Jiayong Liu, Hong-Xia Wang, Chunwang Wu, Chao Yuan, Qiang Xia

Appl. Intell., June, 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

An event-based opinion summarization model for long chinese text with sentiment awareness and parameter fusion mechanism.

Shan Liao, Xiaoyang Li, Jiayong Liu, Anmin Zhou, Kai Li, Siqi Peng

Appl. Intell., March, 2023

A novel feature integration and entity boundary detection for named entity recognition in cybersecurity.

Xiaodi Wang, Jiayong Liu

Knowl. Based Syst., 2023

Fraud detection on multi-relation graphs via imbalanced and interactive learning.

Xiaodi Wang, Zhonglin Liu, Jiamiao Liu, Jiayong Liu

Inf. Sci., 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

Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach.

Zhen Yang, Cheng Huang, Jiayong Liu

Proceedings of the Knowledge Science, Engineering and Management, 2023

Content-adaptive Adversarial Embedding for Image Steganography Using Deep Reinforcement Learning.

Jie Luo, Peisong He, Jiayong Liu, Hongxia Wang, Chunwang Wu, Yijing Chen, Wanjie Li, Jiangchuan Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

An Adaptive Gradient Neural Network to Solve Dynamic Linear Matrix Equations.

Shan Liao, Jiayong Liu, Yimeng Qi, Haoen Huang, Rongfeng Zheng, Xiuchun Xiao

IEEE Trans. Syst. Man Cybern. Syst., 2022

A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks.

Shan Liao, Shubin Li, Jiayong Liu, Haoen Huang, Xiuchun Xiao

Neural Networks, 2022

CatVRNN: Generating category texts via multi-task learning.

Pengsen Cheng, Jinqiao Dai, Jiayong Liu

Knowl. Based Syst., 2022

HLTD-CSA: Cover selection algorithm based on hybrid local texture descriptor for color image steganography.

Menghua Chen, Peisong He, Jiayong Liu

J. Vis. Commun. Image Represent., 2022

2021

Modified Newton Integration Algorithm With Noise Tolerance for Image Deblurring.

Shan Liao, Haoen Huang, Jiayong Liu, Xiuchun Xiao, Xiaoyang Li, Shubin Li

IEEE Trans. Computational Imaging, 2021

Zombie Follower Recognition Based on Industrial Chain Feature Analysis.

Juan Tang, Hualu Xu, Pengsen Cheng, Jiayong Liu, Cheng Huang, Xun Tang

Secur. Commun. Networks, 2021

MF-COTE: A chinese opinion target extraction model based on multiple features.

Xingyue Dang, Shan Liao, Pengsen Cheng, Jiayong Liu

J. Intell. Fuzzy Syst., 2021

Detection method for stability of microcontroller accessories based on biosensor.

Yan Ren, Jiayong Liu

J. Comput. Methods Sci. Eng., 2021

A generalized approach to solve perfect Bayesian Nash equilibrium for practical network attack and defense.

Liang Liu, Lei Zhang, Shan Liao, Jiayong Liu, Zhenxue Wang

Inf. Sci., 2021

Reinforcement Learning for Few-Shot Text Generation Adaptation.

Pengsen Cheng, Jinqiao Dai, Jiayong Liu

CoRR, 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

Exsense: Extract sensitive information from unstructured data.

Yongyan Guo, Jiayong Liu, Wenwu Tang, Cheng Huang

Comput. Secur., 2021

CyberRel: Joint Entity and Relation Extraction for Cybersecurity Concepts.

Yongyan Guo, Zhengyu Liu, Cheng Huang, Jiayong Liu, Wangyuan Jing, Ziwang Wang, Yanghao Wang

Proceedings of the Information and Communications Security - 23rd International Conference, 2021

2020

Preprocessing Method for Encrypted Traffic Based on Semisupervised Clustering.

Rongfeng Zheng, Jiayong Liu, Weina Niu, Liang Liu, Kai Li, Shan Liao

Secur. Commun. Networks, 2020

Detecting Web Spam Based on Novel Features from Web Page Source Code.

Jiayong Liu, Yu Su, Shun Lv, Cheng Huang

Secur. Commun. Networks, 2020

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

Li Li, Jiayong Liu, Peng Jia

Secur. Commun. Networks, 2020

Cross-modality earth mover's distance-driven convolutional neural network for different-modality data.

Zheng Zuo, Liang Liu, Jiayong Liu, Cheng Huang

Neural Comput. Appl., 2020

基于密集连接卷积神经网络的远程监督关系抽取 (Distant Supervised Relation Extraction Based on Densely Connected Convolutional Networks).

Xiaomei Qian, Jiayong Liu, Pengsen Cheng

计算机科学, 2020

基于增强BiLSTM-CRF模型的推文恶意软件名称识别 (Malware Name Recognition in Tweets Based on Enhanced BiLSTM-CRF Model).

Xuemei Gu, Jiayong Liu, Pengsen Cheng, Xiang He

计算机科学, 2020

SecACS: Enabling lightweight secure auditable cloud storage with data dynamics.

Li Li, Jiayong Liu

J. Inf. Secur. Appl., 2020

Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion.

Shan Liao, Jiayong Liu, Xiuchun Xiao, Dongyang Fu, Guan-Cheng Wang, Long Jin

Neurocomputing, 2020

Covert timing channel detection method based on time interval and payload length analysis.

Jiaxuan Han, Cheng Huang, Fan Shi, Jiayong Liu

Comput. Secur., 2020

2019

Automatic Identification of Honeypot Server Using Machine Learning Techniques.

Cheng Huang, Jiaxuan Han, Xing Zhang, Jiayong Liu

Secur. Commun. Networks, 2019

Network traffic anomaly detection algorithm using mahout classifier.

Hua Peng, Liang Liu, Jiayong Liu, Johnwb R. Lewis

J. Intell. Fuzzy Syst., 2019

A systematic review of fuzzing based on machine learning techniques.

Yan Wang, Peng Jia, Luping Liu, Jiayong Liu

CoRR, 2019

Learning Domain-Independent Deep Representations by Mutual Information Minimization.

Ke Wang, Jiayong Liu, Jingyang Wang

Comput. Intell. Neurosci., 2019

Capturing the symptoms of malicious code in electronic documents by file's entropy signal combined with machine learning.

Luping Liu, Xiaohai He, Liang Liu, Lingbo Qing, Yong Fang, Jiayong Liu

Appl. Soft Comput., 2019

A Distance-Based Method for Building an Encrypted Malware Traffic Identification Framework.

Jiayong Liu, Zhiyi Tian, Rongfeng Zheng, Liang Liu

IEEE Access, 2019

2017

Domain transfer multi-instance dictionary learning.

Ke Wang, Jiayong Liu, Daniel González

Neural Comput. Appl., 2017

Gossip: Automatically Identifying Malicious Domains from Mailing List Discussions.

Cheng Huang, Shuang Hao, Luca Invernizzi, Jiayong Liu, Yong Fang, Christopher Kruegel, Giovanni Vigna

Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017

2016

A study on Web security incidents in China by analyzing vulnerability disclosure platforms.

Cheng Huang, Jiayong Liu, Yong Fang, Zheng Zuo

Comput. Secur., 2016

2009

A more efficient and secure dynamic ID-based remote user authentication scheme.

Yan-yan Wang, Jia-Yong Liu, Feng-xia Xiao, Jing Dan

Comput. Commun., 2009

2008

A new mutual authentication scheme based on nonce and smart cards.

Jia-Yong Liu, An-Min Zhou, Min-Xu Gao

Comput. Commun., 2008