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Journal Articles
- 2025
[j47]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)- 2024
- [j46]Xiaodi Wang, Zhonglin Liu, Jiayong Liu:
Joint relational triple extraction with enhanced representation and binary tagging framework in cybersecurity. Comput. Secur. 144: 104001 (2024) - [j45]Jiaxuan Han, Cheng Huang, Jiayong Liu:
bjCnet: A contrastive learning-based framework for software defect prediction. Comput. Secur. 145: 104024 (2024) - [j44]Jiamiao Liu, Pengsen Cheng, Jinqiao Dai, Jiayong Liu:
A variational selection mechanism for article comment generation. Expert Syst. Appl. 237(Part C): 121263 (2024) - [j43]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): 125 (2024) - [j42]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: 104238 (2024) - 2023
- [j41]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): 6682-6709 (2023) - [j40]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): 16059-16076 (2023) - [j39]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): 12 (2023) - [j38]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) - [j37]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: 103371 (2023) - [j36]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) - [j35]Pengsen Cheng, Jinqiao Dai, Jiamiao Liu, Jiayong Liu, Peng Jia:
Reinforcement learning for few-shot text generation adaptation. Neurocomputing 558: 126689 (2023) - [j34]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) - [j33]Xiaodi Wang, Zhonglin Liu, Jiamiao Liu, Jiayong Liu:
Fraud detection on multi-relation graphs via imbalanced and interactive learning. Inf. Sci. 642: 119153 (2023) - [j32]Jie Luo, Peisong He, Jiayong Liu, Hongxia Wang, Chunwang Wu, Shenglie Zhou:
Reversible adversarial steganography for security enhancement. J. Vis. Commun. Image Represent. 97: 103935 (2023) - [j31]Xiaodi Wang, Jiayong Liu:
A novel feature integration and entity boundary detection for named entity recognition in cybersecurity. Knowl. Based Syst. 260: 110114 (2023) - [j30]Jiamiao Liu, Pengsen Cheng, Jinqiao Dai, Jiayong Liu:
DiffuCom: A novel diffusion model for comment generation. Knowl. Based Syst. 281: 111069 (2023) - 2022
- [j29]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: 103646 (2022) - [j28]Pengsen Cheng, Jinqiao Dai, Jiayong Liu:
CatVRNN: Generating category texts via multi-task learning. Knowl. Based Syst. 244: 108491 (2022) - [j27]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: 440-461 (2022) - [j26]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): 5913-5924 (2022) - 2021
- [j25]Yongyan Guo, Jiayong Liu, Wenwu Tang, Cheng Huang:
Exsense: Extract sensitive information from unstructured data. Comput. Secur. 102: 102156 (2021) - [j24]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) - [j23]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: 245-264 (2021) - [j22]Yan Ren, Jiayong Liu:
Detection method for stability of microcontroller accessories based on biosensor. J. Comput. Methods Sci. Eng. 21(6): 2093-2106 (2021) - [j21]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): 1611-1626 (2021) - [j20]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: 6656470:1-6656470:12 (2021) - [j19]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: 1254-1266 (2021) - 2020
- [j18]Jiaxuan Han, Cheng Huang, Fan Shi, Jiayong Liu:
Covert timing channel detection method based on time interval and payload length analysis. Comput. Secur. 97: 101952 (2020) - [j17]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: 1-11 (2020) - [j16]Li Li, Jiayong Liu:
SecACS: Enabling lightweight secure auditable cloud storage with data dynamics. J. Inf. Secur. Appl. 54: 102545 (2020) - [j15]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): 157-162 (2020) - [j14]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): 245-250 (2020) - [j13]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): 9581-9592 (2020) - [j12]Jiayong Liu, Yu Su, Shun Lv, Cheng Huang:
Detecting Web Spam Based on Novel Features from Web Page Source Code. Secur. Commun. Networks 2020: 6662166:1-6662166:14 (2020) - [j11]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: 8824659:1-8824659:13 (2020) - [j10]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) - 2019
- [j9]Jiayong Liu, Zhiyi Tian, Rongfeng Zheng, Liang Liu:
A Distance-Based Method for Building an Encrypted Malware Traffic Identification Framework. IEEE Access 7: 100014-100028 (2019) - [j8]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) - [j7]Ke Wang, Jiayong Liu, Jingyang Wang:
Learning Domain-Independent Deep Representations by Mutual Information Minimization. Comput. Intell. Neurosci. 2019: 9414539:1-9414539:14 (2019) - [j6]Hua Peng, Liang Liu, Jiayong Liu, Johnwb R. Lewis:
Network traffic anomaly detection algorithm using mahout classifier. J. Intell. Fuzzy Syst. 37(1): 137-144 (2019) - [j5]Cheng Huang, Jiaxuan Han, Xing Zhang, Jiayong Liu:
Automatic Identification of Honeypot Server Using Machine Learning Techniques. Secur. Commun. Networks 2019: 2627608:1-2627608:8 (2019) - 2017
- [j4]Ke Wang, Jiayong Liu, Daniel González:
Domain transfer multi-instance dictionary learning. Neural Comput. Appl. 28(S-1): 983-992 (2017) - 2016
- [j3]Cheng Huang, Jiayong Liu, Yong Fang, Zheng Zuo:
A study on Web security incidents in China by analyzing vulnerability disclosure platforms. Comput. Secur. 58: 47-62 (2016) - 2009
- [j2]Yan-yan Wang, Jia-Yong Liu, Feng-xia Xiao, Jing Dan:
A more efficient and secure dynamic ID-based remote user authentication scheme. Comput. Commun. 32(4): 583-585 (2009) - 2008
- [j1]Jia-Yong Liu, An-Min Zhou, Min-Xu Gao:
A new mutual authentication scheme based on nonce and smart cards. Comput. Commun. 31(10): 2205-2209 (2008)
Conference and Workshop Papers
- 2023
- [c4]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: 49-54 - [c3]Zhen Yang, Cheng Huang, Jiayong Liu:
Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach. KSEM (4) 2023: 175-188 - 2021
- [c2]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: 447-463 - 2017
- [c1]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: 494-505
Informal and Other Publications
- 2021
- [i5]Pengsen Cheng, Jiayong Liu, Jinqiao Dai:
CatVRNN: Generating Category Texts via Multi-task Learning. CoRR abs/2107.05219 (2021) - [i4]Pengsen Cheng, Jinqiao Dai, Jiayong Liu:
Reinforcement Learning for Few-Shot Text Generation Adaptation. CoRR abs/2111.11030 (2021) - 2019
- [i3]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 abs/1903.10208 (2019) - [i2]Yan Wang, Peng Jia, Luping Liu, Jiayong Liu:
A systematic review of fuzzing based on machine learning techniques. CoRR abs/1908.01262 (2019) - 2016
- [i1]Ke Wang, Jiayong Liu, Daniel González:
Domain Transfer Multi-Instance Dictionary Learning. CoRR abs/1605.08397 (2016)
Coauthor Index
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