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ORCIDZhen Liu 0017
Person information
- affiliation: Guangdong Pharmaceutical University, School of Medical Information Engineering, Guangzhou, China
- affiliation (PhD 2013): South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
Other persons with the same name
- Zhen Liu — disambiguation page
- Zhen Liu 0001 — Nokia Research Center, Beijing, China (and 4 more)
- Zhen Liu 0002
![[0000-0002-1806-5027]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1806-5027")
— Ningbo University, Faculty of Information Science and Technology, Ningbo, China (and 2 more) - Zhen Liu 0003 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China (and 1 more)
- Zhen Liu 0004 — National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China
- Zhen Liu 0005 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China
- Zhen Liu 0006 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Web Sciences Center / Big Data Research Center, Chengdu, China
- Zhen Liu 0007 — California Institute of Technology, Jet Propulsion Laboratory, Pasadena, CA, USA (and 1 more)
- Zhen Liu 0008 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more)
- Zhen Liu 0009 — Armed Police Force Engineering University, College of Cryptography Engineering, Xi'an, China
- Zhen Liu 0010 — Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration, Shanghai, China
- Zhen Liu 0011 — Sun Yat-sen University, School of Civil Engineering, Guangzhou, China
- Zhen Liu 0012 — Ningbo University, Faculty of Electrical Engineering and Computer Science, Ningbo, China
- Zhen Liu 0013 — Guangdong University of Technology, School of Materials and Energy, Guangzhou, China
- Zhen Liu 0014 — Harbin Institute of Technology, School of Mechatronics Engineering, State Key Laboratory of Robotics and System, Harbin, China
- Zhen Liu 0015 — Jiangnan University, School of Internet of Things Engineering, Wuxi, China
- Zhen Liu 0016 — Beihang University, School of Instrumentation Science and Opto-Electronics Engineering, Key Laboratory of Precision Opto-Mechatronics Technology, Beijing, China
- Zhen Liu 0018 — Dublin City University, School of Electronic Engineering, Dublin, Ireland (and 1 more)
- Zhen Liu 0019 — Mila - Quebec AI Institute, Montreal, QC, Canada (and 2 more)
- Zhen Liu 0020 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Zhen Liu 0021 — Henan Institute of Science and Technology, Network Center, Xinxiang, China
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2020 – today
- 2024
[j24]Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Heitor Murilo Gomes, Bitao Peng, Wenbin Zhang:
SeGDroid: An Android malware detection method based on sensitive function call graph learning. Expert Syst. Appl. 235: 121125 (2024)- 2022
- [j23]Zhen Liu, Ruoyu Wang, Wenbin Zhang:
Improving the generalization of unsupervised feature learning by using data from different sources on gene expression data for cancer diagnosis. Medical Biol. Eng. Comput. 60(4): 1055-1073 (2022) - [c20]Zhen Liu, Ruoyu Wang, Jin Yang, Wenbin Zhang:
Research on fine-tuning CNN for cancer diagnosis with gene expression data. ICMLC 2022: 140-145 - [c19]Zhen Liu, Ruoyu Wang, Bitao Peng, Qingqing Gan:
A convolutional neural network based Android malware detection method with dynamic fine-tuning. ITNAC 2022: 300-305 - 2021
- [j22]Deyu Tang, Jie Zhao, Jin Yang, Zhen Liu, Yongming Cai:
An Evolutionary Frog Leaping Algorithm for Global Optimization Problems and Applications. Comput. Intell. Neurosci. 2021: 8928182:1-8928182:31 (2021) - [j21]Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Deyu Tang, Wenbin Zhang, Jie Zhao:
Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines. Future Gener. Comput. Syst. 120: 91-108 (2021) - [c18]Xin Huang, Wenbin Zhang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang:
LSTM Based Sentiment Analysis for Cryptocurrency Prediction. DASFAA (3) 2021: 617-621 - [c17]Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang:
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. DaWaK 2021: 81-93 - [c16]Qiqiang Xu, Ji Zhang, Ting Yu, Wenbin Zhang, Mingli Zhang, Yonglong Luo, Fulong Chen, Zhen Liu:
An Effective Algorithm for Classification of Text with Weak Sequential Relationships. DEXA (2) 2021: 283-294 - [c15]Zhen Liu, Ruoyu Wang, Wenbin Zhang, Deyu Tang:
An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis. ICMLC 2021: 252-257 - [c14]Xin Huang, Xuejiao Tang, Wenbin Zhang, Ji Zhang, Mingli Zhang, Wensheng Gan, Shichao Pei, Zhen Liu, Yiyi Huang:
A Generic Knowledge Based Medical Diagnosis Expert System. iiWAS 2021: 462-466 - [i5]Xin Huang, Wenbin Zhang, Yiyi Huang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang:
LSTM Based Sentiment Analysis for Cryptocurrency Prediction. CoRR abs/2103.14804 (2021) - [i4]Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang:
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. CoRR abs/2107.01671 (2021) - [i3]Xin Huang, Xuejiao Tang, Wenbin Zhang, Shichao Pei, Ji Zhang, Wensheng Gan, Mingli Zhang, Zhen Liu, Ruijun Chen, Yiyi Huang:
A Generic Knowledge Based Medical Diagnosis Expert System. CoRR abs/2110.04439 (2021) - 2020
- [j20]Song He, Yuqi Wen, Xiaoxi Yang, Zhen Liu, Xinyu Song, Xin Huang, Xiaochen Bo:
PIMD: An Integrative Approach for Drug Repositioning Using Multiple Characterization Fusion. Genom. Proteom. Bioinform. 18(5): 565-581 (2020) - [j19]Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Yongming Cai, Deyu Tang, Xianfa Cai:
A statistical pattern based feature extraction method on system call traces for anomaly detection. Inf. Softw. Technol. 126: 106348 (2020) - [j18]Jie Zhao, Jia-ming Liang, Zhenning Dong, De-Yu Tang, Zhen Liu:
NEC: A nested equivalence class-based dependency calculation approach for fast feature selection using rough set theory. Inf. Sci. 536: 431-453 (2020) - [j17]Deyu Tang, Zhen Liu, Jie Zhao, Shoubin Dong, Yongming Cai:
Memetic quantum evolution algorithm for global optimization. Neural Comput. Appl. 32(13): 9299-9329 (2020) - [j16]Jie Zhao, Deyu Tang, Zhen Liu, Yongming Cai, Shoubin Dong:
Spherical search optimizer: a simple yet efficient meta-heuristic approach. Neural Comput. Appl. 32(13): 9777-9808 (2020) - [j15]Jie Zhao, Jia-ming Liang, Zhenning Dong, Deyu Tang, Zhen Liu:
Accelerating information entropy-based feature selection using rough set theory with classified nested equivalence classes. Pattern Recognit. 107: 107517 (2020) - [j14]Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Li Liu:
A sub-concept-based feature selection method for one-class classification. Soft Comput. 24(10): 7047-7062 (2020) - [c13]Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang:
Using Machine Learning to Automate Mammogram Images Analysis. BIBM 2020: 757-764 - [c12]Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang:
A Data-driven Human Responsibility Management System. IEEE BigData 2020: 5834-5838 - [c11]Zhen Liu, Nathalie Japkowicz, Ruoyu Wang:
Subconcept Based One Class Classification Method with Cluster Updating. ICMLC 2020: 23-28 - [c10]Wenbin Zhang, Mingli Zhang, Ji Zhang, Zhen Liu, Zhiyuan Chen, Jianwu Wang, Edward Raff, Enza Messina:
Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. ICTAI 2020: 399-406 - [i2]Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang:
Using Machine Learning to Automate Mammogram Images Analysis. CoRR abs/2012.03151 (2020) - [i1]Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang:
A Data-driven Human Responsibility Management System. CoRR abs/2012.03190 (2020)
2010 – 2019
- 2019
- [j13]Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Deyu Tang:
Adaptive learning on mobile network traffic data. Connect. Sci. 31(2): 185-214 (2019) - [j12]Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Yongming Cai, Deyu Tang, Xianfa Cai:
Mobile app traffic flow feature extraction and selection for improving classification robustness. J. Netw. Comput. Appl. 125: 190-208 (2019) - [j11]Jin Yang, Yongming Cai, Deyu Tang, Zhen Liu:
A Novel Centralized Range-Free Static Node Localization Algorithm with Memetic Algorithm and Lévy Flight. Sensors 19(14): 3242 (2019) - [j10]Deyu Tang, Zhen Liu, Jin Yang, Jie Zhao:
Memetic frog leaping algorithm for global optimization. Soft Comput. 23(21): 11077-11105 (2019) - [c9]Li Liu, Nathalie Japkowicz, Dan Tao, Zhen Liu:
Learning with Drift Detection based on k Time Sub-concept Windows. ICCE-TW 2019: 1-2 - 2018
- [j9]Zhen Liu, Ruoyu Wang, Deyu Tang:
Extending labeled mobile network traffic data by three levels traffic identification fusion. Future Gener. Comput. Syst. 88: 453-466 (2018) - [c8]James Clark, Zhen Liu, Nathalie Japkowicz:
Adaptive Threshold for Outlier Detection on Data Streams. DSAA 2018: 41-49 - [c7]Ruoyu Wang, Zhen Liu, Yongming Cai, Deyu Tang, Jin Yang, Zhao Yang:
Benchmark Data for Mobile App Traffic Research. MobiQuitous 2018: 402-411 - 2017
- [j8]Zhen Liu, Deyu Tang, Yongming Cai, Ruoyu Wang, Fuhua Chen:
A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data. Neurocomputing 266: 641-650 (2017) - [c6]Zhen Liu, Deyu Tang, Jincheng Li, Ruoyu Wang:
Objective cost-sensitive-boosting-WELM for handling multi class imbalance problem. IJCNN 2017: 1975-1982 - 2016
- [j7]Deyu Tang, Jin Yang, Shoubin Dong, Zhen Liu:
A lévy flight-based shuffled frog-leaping algorithm and its applications for continuous optimization problems. Appl. Soft Comput. 49: 641-662 (2016) - [j6]Zhen Liu, Ruoyu Wang, Ming Tao, Xianfa Cai:
Corrigendum to "A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion" [Neurocomputing 168 (2015) 365-381]. Neurocomputing 171: 1691 (2016) - [j5]Zhen Liu, Ruoyu Wang, Ming Tao:
SmoteAdaNL: a learning method for network traffic classification. J. Ambient Intell. Humaniz. Comput. 7(1): 121-130 (2016) - [c5]Zhen Liu, Ruoyu Wang, Deyu Tang:
Research on mobile network traffic taxonomy. CITS 2016: 1-5 - [c4]Zhen Liu, Ruoyu Wang:
Mobilegt: A system to collect mobile traffic trace and build the ground truth. ITNAC 2016: 142-144 - [c3]Zhen Liu, Ruoyu Wang, Deyu Tang, Peng Yang:
A System for Linking Ground Truth to Mobile Network Traffic. MobiQuitous 2016: 292-293 - 2015
- [j4]Zhen Liu, Ruoyu Wang, Ming Tao, Xianfa Cai:
A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion. Neurocomputing 168: 365-381 (2015) - [j3]Ruoyu Wang, Zhen Liu, Ming Tao, Ling Zhang:
Identifying Internet background radiation traffic based on traffic source distribution. J. High Speed Networks 21(2): 107-120 (2015) - 2014
- [c2]Qiong Liu, Zhen Liu, Ruoyu Wang, Changqiao Xu:
Large traffic flows classification method. ICC Workshops 2014: 569-574 - 2013
- [j2]Ruoyu Wang, Ling Zhang, Zhen Liu:
Classifying imbalanced Internet traffic based PCDD: a per concept drift detection method. Smart Comput. Rev. 3(2): 112-122 (2013) - [c1]Ruoyu Wang, Ling Zhang, Zhen Liu:
A Novel Method of Filtering Internet Background Radiation Traffic. EIDWT 2013: 371-376 - 2012
- [j1]Zhen Liu, Qiong Liu:
Balanced feature selection method for Internet traffic classification. IET Networks 1(2): 74-83 (2012)
Coauthor Index
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