Feng Liu

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 14

Top Topics

Information Hiding

Top Venues

ISPA/IUCC/BDCloud/SocialCom/SustainCom

Publications

Erzhou Zhu, Zihan Wang, Feng Liu, Zhujuan Ma
DH-Kmeans: An Improved K-means Clustering Algorithm based on Dynamic Initial Cluster Center Determination and Hierarchical Clustering. CSCWD (2022)
Erzhou Zhu, Yuanxiang Zhang, Peng Wen, Feng Liu
Fast and stable clustering analysis based on Grid-mapping K-means algorithm and new clustering validity index. Neurocomputing 363 (2019)
Erzhou Zhu, Yuyang Chen, Chengcheng Ye, Xuejun Li, Feng Liu
OFS-NN: An Effective Phishing Websites Detection Model Based on Optimal Feature Selection and Neural Network. IEEE Access 7 (2019)
Erzhou Zhu, Meng Li, Jia Xu, Xuejun Li, Feng Liu, Futian Wang
TIMOM: A Novel Time Influence Multi-objective Optimization Cloud Data Storage Model for Business Process Management. ICA3PP (1) (2019)
Erzhou Zhu, Chengcheng Ye, Dong Liu, Feng Liu, Futian Wang, Xuejun Li
An Effective Neural Network Phishing Detection Model Based on Optimal Feature Selection. ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
Erzhou Zhu, Zeren Zhou, Zhujuan Ma, Xuejun Li, Feng Liu
Secure and Efficient Collaborative Auction Scheme for Spectrum Resource Reallocation. CSCWD (2018)
Erzhou Zhu, Peng Li, Zhujuan Ma, Xuejun Li, Feng Liu
Effective and Optimal Clustering Based on New Clustering Validity Index. CSCWD (2018)
Erzhou Zhu, Dong Liu, Chengcheng Ye, Feng Liu, Xuejun Li, Hui Sun
Effective Phishing Website Detection Based on Improved BP Neural Network and Dual Feature Evaluation. ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
Erzhou Zhu, Peng Wen, Binbin Zhu, Feng Liu, Futian Wang, Xuejun Li
Effective Clustering Analysis Based on New Designed Clustering Validity Index and Revised K-Means Algorithm for Big Data. ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
Erzhou Zhu, Binbin Zhu, Peng Wen, Feng Liu, Xuejun Li, Futian Wang
Effective Clustering Analysis Based on New Designed CVI and Improved Clustering Algorithms. ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
Feng Liu, Jun Zhang, Erzhou Zhu
Test-Suite Reduction Based on K-Medoids Clustering Algorithm. CyberC (2017)
Erzhou Zhu, Chenglong Yao, Zhujuan Ma, Feng Liu
Study of an Improved Genetic Algorithm for Multiple Paths Automatic Software Test Case Generation. ICSI (1) (2017)
Feng Liu, Pengpeng Luo, Zhujuan Ma, Cheng Zhang, Yiwen Zhang, Erzhou Zhu
Security Secret Information Hiding Based on Hash Function and Invisible ASCII Characters Replacement. Trustcom/BigDataSE/ISPA (2016)
Wentao Xu, Feng Liu, Erzhou Zhu
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). 计算机科学 43 (9) (2016)
Erzhou Zhu, Feng Liu, Zuo Wang, Alei Liang, Yiwen Zhang, Xuejian Li, Xuejun Li
Dytaint: The implementation of a novel lightweight 3-state dynamic taint analysis framework for x86 binary programs. Comput. Secur. 52 (2015)
Erzhou Zhu, Xuejun Li, Feng Liu, Xuejian Li, Zhujuan Ma
Constructing a Hybrid Taint Analysis Framework for Diagnosing Attacks on Binary Programs. J. Comput. 9 (3) (2014)
Erzhou Zhu, Feng Liu, Xianyong Fang, Xuejun Li, Yindong Yang, Alei Liang
DYBS: A Lightweight Dynamic Slicing Framework for Diagnosing Attacks on x86 Binary Programs. J. Softw. 9 (3) (2014)
Erzhou Zhu, Ruhui Ma, Yang Hou, Yindong Yang, Feng Liu, Haibing Guan
Two-phase execution of binary applications on CPU/GPU machines. Comput. Electr. Eng. 40 (5) (2014)
Erzhou Zhu, Haibing Guan, Alei Liang, Rongbin Xu, Xuejian Li, Feng Liu
HYBit: A Hybrid Taint Analyzing Framework for Binary Programs. ICSI (2) (2013)