Bin Zhang

According to our database, Bin Zhang authored at least 26 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Phish2vec: A Temporal and Heterogeneous Network Embedding Approach for Detecting Phishing Scams on Ethereum.

Zhutian Lin, Xi Xiao, Guangwu Hu, Bin Zhang, Qixu Liu, Xiapu Luo

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

AAP: Defending Against Website Fingerprinting Through Burst Obfuscation.

Zhenyu Yang, Xi Xiao, Bin Zhang, Guangwu Hu, Qing Li, Qixu Liu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

A Consortium Blockchain-Based Access Control Framework With Dynamic Orderer Node Selection for 5G-Enabled Industrial IoT.

Yuming Feng, Weizhe Zhang, Xiapu Luo, Bin Zhang

IEEE Trans. Ind. Informatics, 2022

A co-occurrence matrix based masquerade detection method in in-vehicle network.

Bin Zhang, Xi Xiao, Weizhe Zhang, Arun Kumar Sangaiah, Ying Zhou, Xinyu Liu

Trans. Emerg. Telecommun. Technol., 2022

A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process.

Fuyang Li, Jiying Zhang, Xi Xiao, Bin Zhang, Dijun Luo

CoRR, 2022

Graph Data Augmentation for Node Classification.

Ziyu Wei, Xi Xiao, Bin Zhang, Guangwu Hu, Qing Li, Shutao Xia

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Neural Architecture Searching for Facial Attributes-based Depression Recognition.

Mingzhe Chen, Xi Xiao, Bin Zhang, Xinyu Liu, Runiu Lu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

CL-ADMM: A Cooperative-Learning-Based Optimization Framework for Resource Management in MEC.

Xiaoxiong Zhong, Xinghan Wang, Li Li, Yuanyuan Yang, Yang Qin, Tingting Yang, Bin Zhang, Weizhe Zhang

IEEE Internet Things J., 2021

ALBFL: A novel neural ranking model for software fault localization via combining static and dynamic features.

Xi Xiao, Yuqing Pan, Bin Zhang, Guangwu Hu, Qing Li, Runiu Lu

Inf. Softw. Technol., 2021

SAMLDroid: A Static Taint Analysis and Machine Learning Combined High-Accuracy Method for Identifying Android Apps with Location Privacy Leakage Risks.

Guangwu Hu, Bin Zhang, Xi Xiao, Weizhe Zhang, Long Liao, Ying Zhou, Xia Yan

Entropy, 2021

Phishing websites detection via CNN and multi-head self-attention on imbalanced datasets.

Xi Xiao, Wentao Xiao, Dianyan Zhang, Bin Zhang, Guangwu Hu, Qing Li, Shutao Xia

Comput. Secur., 2021

Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification.

Kelong Mao, Xi Xiao, Guangwu Hu, Xiapu Luo, Bin Zhang, Shutao Xia

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

A Novel and High-Accuracy Rumor Detection Approach using Kernel Subtree and Deep Learning Networks.

Ziyu Wei, Xi Xiao, Guangwu Hu, Bin Zhang, Qing Li, Shutao Xia

Proceedings of the International Joint Conference on Neural Networks, 2021

Short and Distort Manipulations in the Cryptocurrency Market: Case Study, Patterns and Detection.

Xun Sun, Xi Xiao, Wentao Xiao, Bin Zhang, Guangwu Hu, Tian Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020

OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks.

Xiaoxiong Zhong, Li Li, Yuanping Zhang, Bin Zhang, Weizhe Zhang, Tingting Yang

IEEE Trans. Commun., 2020

An IoT Honeynet Based on Multiport Honeypots for Capturing IoT Attacks.

Weizhe Zhang, Bin Zhang, Ying Zhou, Hui He, Zeyu Ding

IEEE Internet Things J., 2020

Ransomware classification using patch-based CNN and self-attention network on embedded N-grams of opcodes.

Bin Zhang, Wentao Xiao, Xi Xiao, Arun Kumar Sangaiah, Weizhe Zhang, Jiajia Zhang

Future Gener. Comput. Syst., 2020

A Cooperative Learning Framework for Resource Management in MEC: An ADMM Perspective.

Xiaoxiong Zhong, Xinghan Wang, Li Li, Yuanyuan Yang, Yang Qin, Tingting Yang, Bin Zhang, Weizhe Zhang

CoRR, 2020

ALBFL: A Novel Neural Ranking Model for Software Fault Localization via Combining Static and Dynamic Features.

Yuqing Pan, Xi Xiao, Guangwu Hu, Bin Zhang, Qing Li, Haitao Zheng

Proceedings of the 19th IEEE International Conference on Trust, 2020

SpeedNeuzz: Speed Up Neural Program Approximation with Neighbor Edge Knowledge.

Yi Li, Xi Xiao, Xiaogang Zhu, Xiao Chen, Sheng Wen, Bin Zhang

Proceedings of the 19th IEEE International Conference on Trust, 2020

Malware Classification Method Based on Word Vector of Bytes and Multilayer Perception.

Yanchen Qiao, Bin Zhang, Weizhe Zhang

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Self-Paced Probabilistic Principal Component Analysis For Data With Outliers.

Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Guojun Gan, Shutao Xia

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Maintaining Discrimination and Fairness in Class Incremental Learning.

Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Self-Paced Probabilistic Principal Component Analysis for Data with Outliers.

Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Shutao Xia

CoRR, 2019

Algorithm of web page similarity comparison based on visual block.

Xingchen Li, Weizhe Zhang, Desheng Wang, Bin Zhang, Hui He

Comput. Sci. Inf. Syst., 2019

Negotiation Game Model for Big Data Transactions.

Jiajia Zhang, Shuqiang Yang, Weizhe Zhang, Bin Zhang, Zhenhuan Luo, Ying Zhou, Jia Xie

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019