HYBit: A Hybrid Taint Analyzing Framework for Binary Programs. - Erzhou Zhu; Haibing Guan; Alei Liang; Rongbin Xu; Xuejian Li; Feng Liu 024 (ICSI (2), 2013)

Two-phase execution of binary applications on CPU/GPU machines. - Erzhou Zhu; Ruhui Ma; Yang Hou; Yindong Yang; Feng Liu 024; Haibing Guan (Comput. Electr. Eng., 2014)

Constructing a Hybrid Taint Analysis Framework for Diagnosing Attacks on Binary Programs. - Erzhou Zhu; Xuejun Li 001; Feng Liu 024; Xuejian Li; Zhujuan Ma (J. Comput., 2014)

DYBS: A Lightweight Dynamic Slicing Framework for Diagnosing Attacks on x86 Binary Programs. - Erzhou Zhu; Feng Liu 024; Xianyong Fang; Xuejun Li 001; Yindong Yang; Alei Liang (J. Softw., 2014)

Dytaint: The implementation of a novel lightweight 3-state dynamic taint analysis framework for x86 binary programs. - Erzhou Zhu; Feng Liu 024; Zuo Wang; Alei Liang; Yiwen Zhang 001; Xuejian Li; Xuejun Li 001 (Comput. Secur., 2015)

Security Secret Information Hiding Based on Hash Function and Invisible ASCII Characters Replacement. - Feng Liu 024; Pengpeng Luo; Zhujuan Ma; Cheng Zhang; Yiwen Zhang 001; Erzhou Zhu (Trustcom/BigDataSE/ISPA, 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 024; Erzhou Zhu (计算机科学, 2016)

Test-Suite Reduction Based on K-Medoids Clustering Algorithm. - Feng Liu 024; Jun Zhang; Erzhou Zhu (CyberC, 2017)

Study of an Improved Genetic Algorithm for Multiple Paths Automatic Software Test Case Generation. - Erzhou Zhu; Chenglong Yao; Zhujuan Ma; Feng Liu 024 (ICSI (1), 2017)

Effective and Optimal Clustering Based on New Clustering Validity Index. - Erzhou Zhu; Peng Li; Zhujuan Ma; Xuejun Li 001; Feng Liu 024 (CSCWD, 2018)

Secure and Efficient Collaborative Auction Scheme for Spectrum Resource Reallocation. - Erzhou Zhu; Zeren Zhou; Zhujuan Ma; Xuejun Li 001; Feng Liu 024 (CSCWD, 2018)

Effective Phishing Website Detection Based on Improved BP Neural Network and Dual Feature Evaluation. - Erzhou Zhu; Dong Liu; Chengcheng Ye; Feng Liu 024; Xuejun Li 001; Hui Sun (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 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 024; Futian Wang; Xuejun Li 001 (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

An Effective Neural Network Phishing Detection Model Based on Optimal Feature Selection. - Erzhou Zhu; Chengcheng Ye; Dong Liu; Feng Liu 024; Futian Wang; Xuejun Li 001 (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Effective Clustering Analysis Based on New Designed CVI and Improved Clustering Algorithms. - Erzhou Zhu; Binbin Zhu; Peng Wen; Feng Liu 024; Xuejun Li 001; Futian Wang (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

TIMOM: A Novel Time Influence Multi-objective Optimization Cloud Data Storage Model for Business Process Management. - Erzhou Zhu; Meng Li; Jia Xu 010; Xuejun Li 001; Feng Liu 024; Futian Wang (ICA3PP (1), 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 001; Feng Liu 024 (IEEE Access, 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 024 (Neurocomputing, 2019)

DTOF-ANN: An Artificial Neural Network phishing detection model based on Decision Tree and Optimal Features. - Erzhou Zhu; Yinyin Ju; Zhile Chen; Feng Liu 024; Xianyong Fang (Appl. Soft Comput., 2020)

DH-Kmeans: An Improved K-means Clustering Algorithm based on Dynamic Initial Cluster Center Determination and Hierarchical Clustering. - Erzhou Zhu; Zihan Wang; Feng Liu 024; Zhujuan Ma (CSCWD, 2022)