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Erzhou Zhu
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2020 – today
- 2024
- [j23]Erzhou Zhu
, Kang Cheng, Zhizheng Zhang, Huabin Wang
PDHF: Effective phishing detection model combining optimal artificial and automatic deep features. Comput. Secur. 136: 103561 (2024) - 2023
- [j22]Erzhou Zhu, Qixiang Yuan, Zhile Chen, Xuejian Li, Xianyong Fang
CCBLA: a Lightweight Phishing Detection Model Based on CNN, BiLSTM, and Attention Mechanism. Cogn. Comput. 15(4): 1320-1333 (2023) - [c18]Jiaqi Chang, Zhujuan Ma, Binghao Cao, Erzhou Zhu:
VDDA: An Effective Software Vulnerability Detection Model Based on Deep Learning and Attention Mechanism. CSCWD 2023: 474-479 - [c17]Yating Zuo, Zhujuan Ma, Erzhou Zhu:
MPC: A Novel Internal Clustering Validity Index Based on Midpoint-Involved Distance. ICA3PP (3) 2023: 310-323 - 2022
- [j21]Erzhou Zhu
MOE/RF: A Novel Phishing Detection Model Based on Revised Multiobjective Evolution Optimization Algorithm and Random Forest. IEEE Trans. Netw. Serv. Manag. 19(4): 4461-4478 (2022) - [c16]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: 170-176 - 2020
- [j20]Erzhou Zhu
DTOF-ANN: An Artificial Neural Network phishing detection model based on Decision Tree and Optimal Features. Appl. Soft Comput. 95: 106505 (2020)
2010 – 2019
- 2019
- [j19]Erzhou Zhu, Yuyang Chen, Chengcheng Ye, Xuejun Li
OFS-NN: An Effective Phishing Websites Detection Model Based on Optimal Feature Selection and Neural Network. IEEE Access 7: 73271-73284 (2019) - [j18]Erzhou Zhu, Peng Wen, Kanqi Ni, Ruhui Ma:
Implementation of an effective dynamic concolic execution framework for analyzing binary programs. Comput. Secur. 86: 1-27 (2019) - [j17]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: 149-170 (2019) - [j16]Xuejun Li
A Novel Workflow-Level Data Placement Strategy for Data-Sharing Scientific Cloud Workflows. IEEE Trans. Serv. Comput. 12(3): 370-383 (2019) - [c15]Erzhou Zhu, Meng Li, Jia Xu
TIMOM: A Novel Time Influence Multi-objective Optimization Cloud Data Storage Model for Business Process Management. ICA3PP (1) 2019: 315-329 - [c14]Dawei Liu, Dong Liu, Yang Li, Mengqi Zhu, Erzhou Zhu, Xuejian Li:
Efficient Android Phishing Detection Based on Improved Naïve Bayes Algorithm. ICSI (2) 2019: 183-190 - 2018
- [j15]Erzhou Zhu, Ruhui Ma:
An effective partitional clustering algorithm based on new clustering validity index. Appl. Soft Comput. 71: 608-621 (2018) - [c13]Erzhou Zhu, Zeren Zhou, Zhujuan Ma, Xuejun Li, Feng Liu:
Secure and Efficient Collaborative Auction Scheme for Spectrum Resource Reallocation. CSCWD 2018: 396-400 - [c12]Erzhou Zhu, Peng Li, Zhujuan Ma, Xuejun Li, Feng Liu:
Effective and Optimal Clustering Based on New Clustering Validity Index. CSCWD 2018: 529-534 - [c11]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: 96-102 - [c10]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: 759-765 - [c9]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: 766-772 - [c8]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: 781-787 - 2017
- [c7]Feng Liu, Jun Zhang
Test-Suite Reduction Based on K-Medoids Clustering Algorithm. CyberC 2017: 186-192 - [c6]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: 402-408 - 2016
- [j14]Yiwen Zhang, Guangming Cui, Erzhou Zhu, Qiang He:
AFOA: An Adaptive Fruit Fly Optimization Algorithm with Global Optimizing Ability. Int. J. Artif. Intell. Tools 25(6): 1650032:1-1650032:30 (2016) - [j13]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): 66-70 (2016) - [j12]Xuejun Li
A Dynamic Pricing Reverse Auction-Based Resource Allocation Mechanism in Cloud Workflow Systems. Sci. Program. 2016: 7609460:1-7609460:13 (2016) - [c5]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: 1963-1969 - 2015
- [j11]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: 51-69 (2015) - [c4]Xuejun Li, Xiangjun Liu, Erzhou Zhu:
An Efficient Resource Allocation Mechanism Based on Dynamic Pricing Reverse Auction for Cloud Workflow Systems. AP-BPM 2015: 59-69 - [c3]Yuchan Li, Xing Hong, Guangming Cui, Erzhou Zhu:
Study of a Secret Information Transmission Scheme Based on Invisible ASCII Characters. ICSI (2) 2015: 144-150 - 2014
- [j10]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): 1567-1579 (2014) - [j9]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): 566-575 (2014) - [j8]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): 560-568 (2014) - 2013
- [j7]Ying Xie, Rongbin Xu, Xing Guo, Erzhou Zhu, Jianguo Wu:
Natural Bare-Hand Interaction for Remote Operating Large Touch Screen. J. Comput. 8(10): 2512-2519 (2013) - [j6]Ruhui Ma, Fanfu Zhou, Erzhou Zhu, Haibing Guan:
Performance Tuning Towards a KVM-based Embedded Real-Time Virtualization System. J. Inf. Sci. Eng. 29(5): 1021-1035 (2013) - [c2]Erzhou Zhu, Haibing Guan, Alei Liang, Rongbin Xu, Xuejian Li, Feng Liu:
HYBit: A Hybrid Taint Analyzing Framework for Binary Programs. ICSI (2) 2013: 232-239 - 2012
- [j5]Haibing Guan, Erzhou Zhu, Hongxi Wang, Ruhui Ma, Yindong Yang, Bin Wang:
SINOF: A dynamic-static combined framework for dynamic binary translation. J. Syst. Archit. 58(8): 305-317 (2012) - 2011
- [j4]Ruhui Ma, Haibing Guan, Erzhou Zhu, Yongqiang Gao, Alei Liang:
Code cache management based on working set in dynamic binary translator. Comput. Sci. Inf. Syst. 8(3): 653-671 (2011) - [j3]Ruhui Ma, Haibing Guan, Erzhou Zhu, Hongbo Yang, Yindong Yang, A.-Lei Liang:
Partitioning the Conventional DBT System for Multiprocessors. J. Comput. Sci. Technol. 26(3): 474-490 (2011) - [j2]Erzhou Zhu, Haibing Guan, Guoxing Dong, Yindong Yang, Hongbo Yang:
A Translation Framework for Executing the Sequential Binary Code on CPU/GPU Based Architectures. J. Softw. 6(12): 2331-2340 (2011) - [j1]Haibing Guan, Erzhou Zhu, Kai Chen, Ruhui Ma, Yunchao He, Haipeng Deng, Hongbo Yang:
A Dynamic-Static Combined Code Layout Reorganization Approach for Dynamic Binary Translation. J. Softw. 6(12): 2341-2349 (2011) - 2010
- [c1]Guoxing Dong, Kai Chen, Erzhou Zhu, Yichao Zhang, Zhengwei Qi, Haibing Guan:
A Translation Framework for Virtual Execution Environment on CPU/GPU Architecture. PAAP 2010: 130-137
Coauthor Index
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