Huijuan Zhu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
A Dynamic Analysis-Powered Explanation Framework for Malware Detection.
IEEE Trans. Knowl. Data Eng., December, 2024

Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy.
BMC Medical Informatics Decis. Mak., December, 2024

Android malware detection dataset.
Dataset, July, 2024

WF-Transformer: Learning Temporal Features for Accurate Anonymous Traffic Identification by Using Transformer Networks.
IEEE Trans. Inf. Forensics Secur., 2024

A lightweight deep learning-based android malware detection framework.
Expert Syst. Appl., 2024

Joint Alignment Networks For Few-Shot Website Fingerprinting Attack.
Comput. J., 2024

2023
Security and privacy issues in blockchain and its applications.
IET Blockchain, December, 2023

SCGformer: Smart contract vulnerability detection based on control flow graph and transformer.
IET Blockchain, December, 2023

A multi-model ensemble learning framework for imbalanced android malware detection.
Expert Syst. Appl., December, 2023

Few-shot website fingerprinting attack with cluster adaptation.
Comput. Networks, June, 2023

An effective end-to-end android malware detection method.
Expert Syst. Appl., May, 2023

Android malware detection based on multi-head squeeze-and-excitation residual network.
Expert Syst. Appl., 2023

GraBit: A Sequential Model-Based Framework for Smart Contract Vulnerability Detection.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

GAResNet: A Transfer Learning based Framework for Android Malware Detection.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Lightweight Website Fingerprinting Defense Method Based on Distribution Distance Padding.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Design and Research of Intelligent Walking Aid Products for Visually Impaired Individuals.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

2022
A Hybrid Deep Network Framework for Android Malware Detection.
IEEE Trans. Knowl. Data Eng., 2022

Automated medical literature screening using artificial intelligence: a systematic review and meta-analysis.
J. Am. Medical Informatics Assoc., 2022

2021
SEDMDroid: An Enhanced Stacking Ensemble Framework for Android Malware Detection.
IEEE Trans. Netw. Sci. Eng., 2021

Text Sentiment Analysis based on BERT and Convolutional Neural Networks.
Proceedings of the NLPIR 2021: 5th International Conference on Natural Language Processing and Information Retrieval, Sanya, China, December 17, 2021

Sentiment Analysis of Chinese Text Based on CNN-BiLSTM Serial Hybrid Model.
Proceedings of the ICCPR '21: 10th International Conference on Computing and Pattern Recognition, Shanghai, China, October 15, 2021

2020
Improvement of Contact Graph Routing Algorithm in LEO Satellite DTN Network.
Proceedings of the IoT as a Service - 6th EAI International Conference, 2020

2019
A data cleaning method for heterogeneous attribute fusion and record linkage.
Int. J. Comput. Sci. Eng., 2019

Improved Prediction of Protein-Protein Interactions Using Descriptors Derived From PSSM via Gray Level Co-Occurrence Matrix.
IEEE Access, 2019

In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
HEMD: a highly efficient random forest-based malware detection framework for Android.
Neural Comput. Appl., 2018

基于自适应惩罚函数的云工作流调度协同进化遗传算法 (Coevolutionary Genetic Algorithm of Cloud Workflow Scheduling Based on Adaptive Penalty Function).
计算机科学, 2018

A Type-Based Blocking Technique for Efficient Entity Resolution over Large-Scale Data.
J. Sensors, 2018

DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model.
Neurocomputing, 2018


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