Feng Liu

According to our database, Feng Liu authored at least 20 papers between 2013 and 2022.

Collaborative distances:

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

2022

DH-Kmeans: An Improved K-means Clustering Algorithm based on Dynamic Initial Cluster Center Determination and Hierarchical Clustering.

Erzhou Zhu, Zihan Wang, Feng Liu, Zhujuan Ma

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2020

DTOF-ANN: An Artificial Neural Network phishing detection model based on Decision Tree and Optimal Features.

Erzhou Zhu, Yinyin Ju, Zhile Chen, Feng Liu, Xianyong Fang

Appl. Soft Comput., 2020

2019

Fast and stable clustering analysis based on Grid-mapping K-means algorithm and new clustering validity index.

Erzhou Zhu, Yuanxiang Zhang, Peng Wen, Feng Liu

Neurocomputing, 2019

OFS-NN: An Effective Phishing Websites Detection Model Based on Optimal Feature Selection and Neural Network.

Erzhou Zhu, Yuyang Chen, Chengcheng Ye, Xuejun Li, Feng Liu

IEEE Access, 2019

TIMOM: A Novel Time Influence Multi-objective Optimization Cloud Data Storage Model for Business Process Management.

Erzhou Zhu, Meng Li, Jia Xu, Xuejun Li, Feng Liu, Futian Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

2018

Effective Clustering Analysis Based on New Designed CVI and Improved Clustering Algorithms.

Erzhou Zhu, Binbin Zhu, Peng Wen, Feng Liu, Xuejun Li, Futian Wang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

An Effective Neural Network Phishing Detection Model Based on Optimal Feature Selection.

Erzhou Zhu, Chengcheng Ye, Dong Liu, Feng Liu, Futian Wang, Xuejun Li

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Effective Clustering Analysis Based on New Designed Clustering Validity Index and Revised K-Means Algorithm for Big Data.

Erzhou Zhu, Peng Wen, Binbin Zhu, Feng Liu, Futian Wang, Xuejun Li

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Effective Phishing Website Detection Based on Improved BP Neural Network and Dual Feature Evaluation.

Erzhou Zhu, Dong Liu, Chengcheng Ye, Feng Liu, Xuejun Li, Hui Sun

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Secure and Efficient Collaborative Auction Scheme for Spectrum Resource Reallocation.

Erzhou Zhu, Zeren Zhou, Zhujuan Ma, Xuejun Li, Feng Liu

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Effective and Optimal Clustering Based on New Clustering Validity Index.

Erzhou Zhu, Peng Li, Zhujuan Ma, Xuejun Li, Feng Liu

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

2017

Study of an Improved Genetic Algorithm for Multiple Paths Automatic Software Test Case Generation.

Erzhou Zhu, Chenglong Yao, Zhujuan Ma, Feng Liu

Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

Test-Suite Reduction Based on K-Medoids Clustering Algorithm.

Feng Liu, Jun Zhang, Erzhou Zhu

Proceedings of the 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2017

2016

基于MapReduce的新型微博用户影响力排名算法研究 (Research on Novel Ranking Algorithm of Microblog User's Influence Based on MapReduce).

Wentao Xu, Feng Liu, Erzhou Zhu

计算机科学, 2016

Security Secret Information Hiding Based on Hash Function and Invisible ASCII Characters Replacement.

Feng Liu, Pengpeng Luo, Zhujuan Ma, Cheng Zhang, Yiwen Zhang, Erzhou Zhu

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

2015

Dytaint: The implementation of a novel lightweight 3-state dynamic taint analysis framework for x86 binary programs.

Erzhou Zhu, Feng Liu, Zuo Wang, Alei Liang, Yiwen Zhang, Xuejian Li, Xuejun Li

Comput. Secur., 2015

2014

DYBS: A Lightweight Dynamic Slicing Framework for Diagnosing Attacks on x86 Binary Programs.

Erzhou Zhu, Feng Liu, Xianyong Fang, Xuejun Li, Yindong Yang, Alei Liang

J. Softw., 2014

Constructing a Hybrid Taint Analysis Framework for Diagnosing Attacks on Binary Programs.

Erzhou Zhu, Xuejun Li, Feng Liu, Xuejian Li, Zhujuan Ma

J. Comput., 2014

Two-phase execution of binary applications on CPU/GPU machines.

Erzhou Zhu, Ruhui Ma, Yang Hou, Yindong Yang, Feng Liu, Haibing Guan

Comput. Electr. Eng., 2014

2013

HYBit: A Hybrid Taint Analyzing Framework for Binary Programs.

Erzhou Zhu, Haibing Guan, Alei Liang, Rongbin Xu, Xuejian Li, Feng Liu

Proceedings of the Advances in Swarm Intelligence, 4th International Conference, 2013