Jiayong Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 54

Top Topics

Machine Learning

Relation Extraction

Top Venues

Secur. Commun. Networks

Publications

Chunwang Wu, Xiaolei Liu, Kangyi Ding, Bangzhou Xin, Jiazhong Lu, Jiayong Liu, Cheng Huang
Attack detection model for BCoT based on contrastive variational autoencoder and metric learning. J. Cloud Comput. 13 (1) (2024)
Xiaodi Wang, Zhonglin Liu, Jiayong Liu
Joint relational triple extraction with enhanced representation and binary tagging framework in cybersecurity. Comput. Secur. 144 (2024)
Shenglie Zhou, Peisong He, Jiayong Liu, Jie Luo
Towards robust image watermarking via random distortion assignment based meta-learning. J. Vis. Commun. Image Represent. 103 (2024)
Jiamiao Liu, Pengsen Cheng, Jinqiao Dai, Jiayong Liu
A variational selection mechanism for article comment generation. Expert Syst. Appl. 237 (Part C) (2024)
Jiaxuan Han, Cheng Huang, Jiayong Liu
bjCnet: A contrastive learning-based framework for software defect prediction. Comput. Secur. 145 (2024)
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 (2023)
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 (2023)
Yongyan Guo, Zhengyu Liu, Cheng Huang, Nannan Wang, Hai Min, Wenbo Guo, Jiayong Liu
A framework for threat intelligence extraction and fusion. Comput. Secur. 132 (2023)
Jie Luo, Peisong He, Jiayong Liu, Hong-Xia Wang, Chunwang Wu, Chao Yuan, Qiang Xia
Improving security for image steganography using content-adaptive adversarial perturbations. Appl. Intell. 53 (12) (2023)
Zhen Yang, Cheng Huang, Jiayong Liu
Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach. KSEM (4) (2023)
Xiaodi Wang, Jiayong Liu
A novel feature integration and entity boundary detection for named entity recognition in cybersecurity. Knowl. Based Syst. 260 (2023)
Jiaxuan Han, Cheng Huang, Siqi Sun, Zhonglin Liu, Jiayong Liu
bjXnet: an improved bug localization model based on code property graph and attention mechanism. Autom. Softw. Eng. 30 (1) (2023)
Shan Liao, Xiaoyang Li, Jiayong Liu, Anmin Zhou, Kai Li, Siqi Peng
An event-based opinion summarization model for long chinese text with sentiment awareness and parameter fusion mechanism. Appl. Intell. 53 (6) (2023)
Xiaodi Wang, Zhonglin Liu, Jiamiao Liu, Jiayong Liu
Fraud detection on multi-relation graphs via imbalanced and interactive learning. Inf. Sci. 642 (2023)
Pengsen Cheng, Jinqiao Dai, Jiamiao Liu, Jiayong Liu, Peng Jia
Reinforcement learning for few-shot text generation adaptation. Neurocomputing 558 (2023)
Jie Luo, Peisong He, Jiayong Liu, Hongxia Wang, Chunwang Wu, Shenglie Zhou
Reversible adversarial steganography for security enhancement. J. Vis. Commun. Image Represent. 97 (2023)
Jiamiao Liu, Pengsen Cheng, Jinqiao Dai, Jiayong Liu
DiffuCom: A novel diffusion model for comment generation. Knowl. Based Syst. 281 (2023)
Jie Luo, Peisong He, Jiayong Liu, Hongxia Wang, Chunwang Wu, Yijing Chen, Wanjie Li, Jiangchuan Li
Content-adaptive Adversarial Embedding for Image Steganography Using Deep Reinforcement Learning. ICME (2023)
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 (2023)
Menghua Chen, Peisong He, Jiayong Liu
HLTD-CSA: Cover selection algorithm based on hybrid local texture descriptor for color image steganography. J. Vis. Commun. Image Represent. 89 (2022)
Shan Liao, Jiayong Liu, Yimeng Qi, Haoen Huang, Rongfeng Zheng, Xiuchun Xiao
An Adaptive Gradient Neural Network to Solve Dynamic Linear Matrix Equations. IEEE Trans. Syst. Man Cybern. Syst. 52 (9) (2022)
Pengsen Cheng, Jinqiao Dai, Jiayong Liu
CatVRNN: Generating category texts via multi-task learning. Knowl. Based Syst. 244 (2022)
Shan Liao, Shubin Li, Jiayong Liu, Haoen Huang, Xiuchun Xiao
A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks. Neural Networks 150 (2022)
Yan Ren, Jiayong Liu
Detection method for stability of microcontroller accessories based on biosensor. J. Comput. Methods Sci. Eng. 21 (6) (2021)
Juan Tang, Hualu Xu, Pengsen Cheng, Jiayong Liu, Cheng Huang, Xun Tang
Zombie Follower Recognition Based on Industrial Chain Feature Analysis. Secur. Commun. Networks 2021 (2021)
Pengsen Cheng, Jiayong Liu, Jinqiao Dai
CatVRNN: Generating Category Texts via Multi-task Learning. CoRR (2021)
Yongyan Guo, Zhengyu Liu, Cheng Huang, Jiayong Liu, Wangyuan Jing, Ziwang Wang, Yanghao Wang
CyberRel: Joint Entity and Relation Extraction for Cybersecurity Concepts. ICICS (1) (2021)
Yan Wang, Peng Jia, Cheng Huang, Jiayong Liu, Peisong He
Hierarchical Attention Graph Embedding Networks for Binary Code Similarity against Compilation Diversity. Secur. Commun. Networks 2021 (2021)
Liang Liu, Lei Zhang, Shan Liao, Jiayong Liu, Zhenxue Wang
A generalized approach to solve perfect Bayesian Nash equilibrium for practical network attack and defense. Inf. Sci. 577 (2021)
Shan Liao, Haoen Huang, Jiayong Liu, Xiuchun Xiao, Xiaoyang Li, Shubin Li
Modified Newton Integration Algorithm With Noise Tolerance for Image Deblurring. IEEE Trans. Computational Imaging 7 (2021)
Yongyan Guo, Jiayong Liu, Wenwu Tang, Cheng Huang
Exsense: Extract sensitive information from unstructured data. Comput. Secur. 102 (2021)
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 (2021)
Pengsen Cheng, Jinqiao Dai, Jiayong Liu
Reinforcement Learning for Few-Shot Text Generation Adaptation. CoRR (2021)
Xingyue Dang, Shan Liao, Pengsen Cheng, Jiayong Liu
MF-COTE: A chinese opinion target extraction model based on multiple features. J. Intell. Fuzzy Syst. 41 (1) (2021)
Zheng Zuo, Liang Liu, Jiayong Liu, Cheng Huang
Cross-modality earth mover's distance-driven convolutional neural network for different-modality data. Neural Comput. Appl. 32 (13) (2020)
Jiaxuan Han, Cheng Huang, Fan Shi, Jiayong Liu
Covert timing channel detection method based on time interval and payload length analysis. Comput. Secur. 97 (2020)
Li Li, Jiayong Liu, Peng Jia
SPCTR: Sealed Auction-Based Procurement for Closest Pre-Tender with Range Validation. Secur. Commun. Networks 2020 (2020)
Rongfeng Zheng, Jiayong Liu, Weina Niu, Liang Liu, Kai Li, Shan Liao
Preprocessing Method for Encrypted Traffic Based on Semisupervised Clustering. Secur. Commun. Networks 2020 (2020)
Jiayong Liu, Yu Su, Shun Lv, Cheng Huang
Detecting Web Spam Based on Novel Features from Web Page Source Code. Secur. Commun. Networks 2020 (2020)
Li Li, Jiayong Liu
SecACS: Enabling lightweight secure auditable cloud storage with data dynamics. J. Inf. Secur. Appl. 54 (2020)
Shan Liao, Jiayong Liu, Xiuchun Xiao, Dongyang Fu, Guan-Cheng Wang, Long Jin
Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion. Neurocomputing 379 (2020)
Xuemei Gu, Jiayong Liu, Pengsen Cheng, Xiang He
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). 计算机科学 47 (2) (2020)
Xiaomei Qian, Jiayong Liu, Pengsen Cheng
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). 计算机科学 47 (2) (2020)
Ke Wang, Jiayong Liu, Jingyang Wang
Learning Domain-Independent Deep Representations by Mutual Information Minimization. Comput. Intell. Neurosci. 2019 (2019)
Luping Liu, Xiaohai He, Liang Liu, Lingbo Qing, Yong Fang, Jiayong Liu
Capturing the symptoms of malicious code in electronic documents by file's entropy signal combined with Machine learning. CoRR (2019)
Hua Peng, Liang Liu, Jiayong Liu, Johnwb R. Lewis
Network traffic anomaly detection algorithm using mahout classifier. J. Intell. Fuzzy Syst. 37 (1) (2019)
Luping Liu, Xiaohai He, Liang Liu, Lingbo Qing, Yong Fang, Jiayong Liu
Capturing the symptoms of malicious code in electronic documents by file's entropy signal combined with machine learning. Appl. Soft Comput. 82 (2019)
Yan Wang, Peng Jia, Luping Liu, Jiayong Liu
A systematic review of fuzzing based on machine learning techniques. CoRR (2019)
Cheng Huang, Jiaxuan Han, Xing Zhang, Jiayong Liu
Automatic Identification of Honeypot Server Using Machine Learning Techniques. Secur. Commun. Networks 2019 (2019)
Jiayong Liu, Zhiyi Tian, Rongfeng Zheng, Liang Liu
A Distance-Based Method for Building an Encrypted Malware Traffic Identification Framework. IEEE Access 7 (2019)
Cheng Huang, Shuang Hao, Luca Invernizzi, Jiayong Liu, Yong Fang, Christopher Kruegel, Giovanni Vigna
Gossip: Automatically Identifying Malicious Domains from Mailing List Discussions. AsiaCCS (2017)
Ke Wang, Jiayong Liu, Daniel González
Domain transfer multi-instance dictionary learning. Neural Comput. Appl. 28 (S-1) (2017)
Ke Wang, Jiayong Liu, Daniel González
Domain Transfer Multi-Instance Dictionary Learning. CoRR (2016)
Cheng Huang, Jiayong Liu, Yong Fang, Zheng Zuo
A study on Web security incidents in China by analyzing vulnerability disclosure platforms. Comput. Secur. 58 (2016)