Ruoyu Wang - RankMe

30 papers B 2C 2Misc 5Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ADTDroid: Leveraging API description and TCP based active learning for Android malware detection. Inf. Softw. Technol. Zhen Liu, Ruoyu Wang, Wenbin Zhang
2025	B	`conf`	Incorporating Statistic and Semantic Dependencies for Enhancing the Robustness of Android Malware Detection. TrustCom Lingyu Qiu, Zhen Liu, Bitao Peng, Ruoyu Wang, Changji Wang, Qingqing Gan
2025	J	`jnl`	LDCDroid: Learning data drift characteristics for handling the model aging problem in Android malware detection. Comput. Secur. Zhen Liu, Ruoyu Wang, Bitao Peng, Lingyu Qiu, Qingqing Gan, Changji Wang, Wenbin Zhang
2024	J	`jnl`	SeGDroid: An Android malware detection method based on sensitive function call graph learning. Expert Syst. Appl. Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Heitor Murilo Gomes, Bitao Peng, Wenbin Zhang
2023	—	`conf`	Research on Data Drift and Class Imbalance in Android Malware Detection. MobiQuitous (1) Zhen Liu, Ruoyu Wang, Bitao Peng, Changji Wang, Qingqing Gan
2022	Misc	`conf`	A convolutional neural network based Android malware detection method with dynamic fine-tuning. ITNAC Zhen Liu, Ruoyu Wang, Bitao Peng, Qingqing Gan
2022	J	`jnl`	Improving the generalization of unsupervised feature learning by using data from different sources on gene expression data for cancer diagnosis. Medical Biol. Eng. Comput. Zhen Liu, Ruoyu Wang, Wenbin Zhang
2022	Misc	`conf`	Research on fine-tuning CNN for cancer diagnosis with gene expression data. ICMLC Zhen Liu, Ruoyu Wang, Jin Yang, Wenbin Zhang
2021	J	`jnl`	Active Learning-Based Optimization of Scientific Experimental Design. CoRR Ruoyu Wang
2021	Misc	`conf`	An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis. ICMLC Zhen Liu, Ruoyu Wang, Wenbin Zhang, Deyu Tang
2021	J	`jnl`	Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines. Future Gener. Comput. Syst. Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Deyu Tang, Wenbin Zhang, Jie Zhao
2020	J	`jnl`	A statistical pattern based feature extraction method on system call traces for anomaly detection. Inf. Softw. Technol. Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Yongming Cai, Deyu Tang, Xianfa Cai
2020	J	`jnl`	A sub-concept-based feature selection method for one-class classification. Soft Comput. Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Li Liu
2020	Misc	`conf`	Subconcept Based One Class Classification Method with Cluster Updating. ICMLC Zhen Liu, Nathalie Japkowicz, Ruoyu Wang
2019	J	`jnl`	Adaptive learning on mobile network traffic data. Connect. Sci. Zhen Liu, Nathalie Japkowicz, Ruoyu Wang, Deyu Tang
2019	J	`jnl`	Mobile app traffic flow feature extraction and selection for improving classification robustness. J. Netw. Comput. Appl. Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, Yongming Cai, Deyu Tang, Xianfa Cai
2018	C	`conf`	Benchmark Data for Mobile App Traffic Research. MobiQuitous Ruoyu Wang, Zhen Liu, Yongming Cai, Deyu Tang, Jin Yang, Zhao Yang
2018	J	`jnl`	Extending labeled mobile network traffic data by three levels traffic identification fusion. Future Gener. Comput. Syst. Zhen Liu, Ruoyu Wang, Deyu Tang
2017	J	`jnl`	A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data. Neurocomputing Zhen Liu, Deyu Tang, Yongming Cai, Ruoyu Wang, Fuhua Chen
2017	B	`conf`	Objective cost-sensitive-boosting-WELM for handling multi class imbalance problem. IJCNN Zhen Liu, Deyu Tang, Jincheng Li, Ruoyu Wang
2016	C	`conf`	A System for Linking Ground Truth to Mobile Network Traffic. MobiQuitous Zhen Liu, Ruoyu Wang, Deyu Tang, Peng Yang
2016	J	`jnl`	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 Zhen Liu, Ruoyu Wang, Ming Tao, Xianfa Cai
2016	Misc	`conf`	Mobilegt: A system to collect mobile traffic trace and build the ground truth. ITNAC Zhen Liu, Ruoyu Wang
2016	—	`conf`	Research on mobile network traffic taxonomy. CITS Zhen Liu, Ruoyu Wang, Deyu Tang
2016	J	`jnl`	SmoteAdaNL: a learning method for network traffic classification. J. Ambient Intell. Humaniz. Comput. Zhen Liu, Ruoyu Wang, Ming Tao
2015	J	`jnl`	A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion. Neurocomputing Zhen Liu, Ruoyu Wang, Ming Tao, Xianfa Cai
2015	J	`jnl`	Identifying Internet background radiation traffic based on traffic source distribution. J. High Speed Networks Ruoyu Wang, Zhen Liu, Ming Tao, Ling Zhang
2014	—	`conf`	Large traffic flows classification method. ICC Workshops Qiong Liu, Zhen Liu, Ruoyu Wang, Changqiao Xu
2013	—	`conf`	A Novel Method of Filtering Internet Background Radiation Traffic. EIDWT Ruoyu Wang, Ling Zhang, Zhen Liu
2013	J	`jnl`	Classifying imbalanced Internet traffic based PCDD: a per concept drift detection method. Smart Comput. Rev. Ruoyu Wang, Ling Zhang, Zhen Liu