Lizhi Peng

Lizhi Peng, Shanshan Wang, Chuan Zhao, 2022, 2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).

Machine learning based mobile malware detection using highly imbalanced network traffic

Lin Wang, Bo Yang, Qiben Yan, 2017, Inf. Sci..

Effective detection of mobile malware behavior based on explainable deep neural network

Haibo Zhang, Bo Yang, Chuan Zhao, 2020, Neurocomputing.

Clothes classification based on deep belief network

Xiuyang Zhao, Xiaofang Wang, Lizhi Peng, 2016, 2016 3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS).

Performance Evaluation of Five Machine Learning Algorithms and Three Feature Selection Algorithms for IP Traffic Classification

Lei Zhang, Judith Kelner, Carlos Kamienski, 2011 .

Programming Hierarchical TS Fuzzy Systems

Lizhi Peng, A. Abraham, Yuehui Chen, 2006, 2006 International Symposium on Evolving Fuzzy Systems.

Deep and broad URL feature mining for android malware detection

Mauro Conti, Qiben Yan, Shanshan Wang, 2020, Inf. Sci..

Effective packet number for early stage internet traffic identification

Bo Yang, Yuehui Chen, Lizhi Peng, 2015, Neurocomputing.

A novel semi-supervised learning method for Internet application identification

Lin Wang, Lei Zhang, Lizhi Peng, 2017, Soft Comput..

Blind image separation based on attentional generative adversarial network

Tianyu Zhao, Lizhi Peng, Xiao Sun, 2020, Journal of Ambient Intelligence and Humanized Computing.

An under-sampling imbalanced learning of data gravitation based classification

Xiaoqing Zhou, Bo Yang, Yuehui Chen, 2016, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

Feature Selection Toward Optimizing Internet Traffic Behavior Identification

Lizhi Peng, Zhenxiang Chen, Shupeng Zhao, 2014, ICA3PP.

A Novel Online Traffic Classification Method Based on Few Packets

Lizhi Peng, Zhenxiang Chen, Shan Jing, 2012, 2012 8th International Conference on Wireless Communications, Networking and Mobile Computing.

Gaussian Distribution Based Oversampling for Imbalanced Data Classification

Haibo Zhang, Zhenxiang Chen, Lizhi Peng, 2020, IEEE Transactions on Knowledge and Data Engineering.

Gradient descent evolved imbalanced data gravitation classification with an application on Internet video traffic identification

Haibo Zhang, Lizhi Peng, Zhenxiang Chen, 2020, Inf. Sci..

A fast feature weighting algorithm of data gravitation classification

Bo Yang, Haibo Zhang, Hongli Zhang, 2017, Inf. Sci..

A Novel Improvement of Neural Network Classification Using Further Division of Partition Space

Bo Yang, Ajith Abraham, Lin Wang, 2007, IWINAC.

Online hybrid traffic classifier for Peer-to-Peer systems based on network processors

Bo Yang, Yuehui Chen, Ajith Abraham, 2009, Appl. Soft Comput..

Network-based Malware Detection with a Two-tier Architecture for Online Incremental Update

Bo Yang, Chuan Zhao, Lizhi Peng, 2020, 2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS).

ECM-EFS: An ensemble feature selection based on enhanced co-association matrix

Lizhi Peng, Bo Yang, Ting Wu, 2023, Pattern Recognit..

Extraction of Feature Points on 3D Meshes Through Data Gravitation

Caiming Zhang, Xiuyang Zhao, Chengwei Wang, 2016, ICIC.

A Fast and Effective Detection of Mobile Malware Behavior Using Network Traffic

Yuliang Shi, Chuan Zhao, Shanshan Wang, 2018, ICA3PP.

Flexible neural trees based early stage identification for IP traffic

Jin Li, Bo Yang, Yuehui Chen, 2017, Soft Comput..

On the Effectiveness of Packet Sampling for Early Stage Traffic Identification

Bo Yang, Yuehui Chen, Haibo Zhang, 2016, 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

On the Impact of Packet Inter Arrival Time for Early Stage Traffic Identification

Xiaoqing Zhou, Bo Yang, Linlin Wang, 2016, 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

Early Stage Internet Traffic Identification Using Data Gravitation Based Classification

Xiaoqing Zhou, Bo Yang, Yuehui Chen, 2016, 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).

Hierarchical RBF Neural Network Using for Early Stage Internet Traffic Identification

Bo Yang, Yuehui Chen, Lizhi Peng, 2014, 2014 IEEE 17th International Conference on Computational Science and Engineering.

TCFOM: A Robust Traffic Classification Framework Based on OC-SVM Combined with MC-SVM

Gang Lu, Hongli Zhang, Cheng Chen, 2010, 2010 International Conference on Communications and Intelligence Information Security.

Traffic identification using flexible neural trees

Bo Yang, Yuehui Chen, Gang Lu, 2010, 2010 IEEE 18th International Workshop on Quality of Service (IWQoS).

Generative learning for imbalanced data using the Gaussian mixed model

Bo Yang, Haibo Zhang, Zhenxiang Chen, 2019, Appl. Soft Comput..

Neural Network Rule Extraction for Real Time Traffic Behavior Identification

Lin Wang, Lizhi Peng, Zhenxiang Chen, 2018, 2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).

Imbalanced learning based on adaptive weighting and Gaussian function synthesizing with an application on Android malware detection

Bo Yang, Hongli Zhang, Lizhi Peng, 2019, Inf. Sci..

DroidCollector: A High Performance Framework for High Quality Android Traffic Collection

Bo Yang, Dong Cao, Qun Li, 2016, 2016 IEEE Trustcom/BigDataSE/ISPA.

A Novel Classification Method Based on Data Gravitation

Yuehui Chen, Bo Yang, Zhenxiang Chen, 2005, 2005 International Conference on Neural Networks and Brain.

SMOTE-DGC: An Imbalanced Learning Approach of Data Gravitation Based Classification

Xiaoqing Zhou, Bo Yang, Yuehui Chen, 2016, ICIC.

Community detection based on similarities of communication behavior in IP networks

Min Zhou, Lizhi Peng, Shuzhuang Zhang, 2020, Journal of Ambient Intelligence and Humanized Computing.

A Novel Method to Classify Videos Based VBR Trace

Xiaojie Yu, Lizhi Peng, Min Qiu, 2020, ML4CS.

A Signature-Based Assistant Random Oversampling Method for Malware Detection

Lizhi Peng, Ke Ji, Kun Ma, 2019, 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE).

NB-Radar: An Effective Method for Detecting Local Network Behaviors

Lizhi Peng, Bo Yang, Yihang Hao, 2022, 2022 IEEE 22nd International Conference on Communication Technology (ICCT).