Journal Papers

2023

  • ECM-EFS: An ensemble feature selection based on enhancedco-association matrix
    Ting Wu,Yihang Hao,Bo Yang,Lizhi Peng*
    In Pattern Recognition, 2023, accepted

2022

  • An Early Stage Convolutional Feature Extracting Method Using for Mining Traffic Detection
    Peifa Sun,Mengda Lyu,Hui Li,Bo Yang,Lizhi Peng*
    In Computer Communications, 2022, accepted

2021

  • Similarity-evaluation-based evolving of flexible neural trees for imbalanced classification
    Min Qiu, Lizhi Peng*, Ying Pang,Bo Yang,Panpan Li
    In Applied Soft Computing, 2021, accepted
  • Flexible Neural Tree Based on Similarity Evaluation with an Application in Video Traffic Identification
    Min Qiu, Lizhi Peng*, Bo Yang,Lijuan Sun
    In Journal of Computer Research and Development, 2021, accepted

2020

  • Gaussian Distribution based Oversampling for Imbalanced Data Classification
    Yuxi Xie, Min Qiu, Haibo Zhang, Lizhi Peng*, Zhenxiang Chen
    In IEEE Transactions on Knowledge and Data Engineering, 2020, accepted

2019

  • Ranking-based Biased Learning Swarm Optimizer for Large-Scale Optimization
    Hanbo Deng, Lizhi Peng*, Haibo Zhang, Bo Yang, Zhenxiang Chen
    In (Elsevier) Information Sciences, 493(16), pp. 120-137, 2019.
  • Generative Learning for Imbalanced Data Using the Gaussian Mixed Model
    Yuxi Xie, Lizhi Peng*, Zhenxiang Chen, Bo Yang, Hongli Zhang
    In (Elsevier) Applied Soft Computing, 79(6), pp. 439-451, 2019.
  • Imbalanced learning based on adaptive weighting and Gaussian function synthesizing with an application on Android malware detection
    Ying Pang, Lizhi Peng*, Zhenxiang Chen, Bo Yang, Hongli Zhang
    In (Elsevier) Information Sciences, 484(1), pp. 95-112, 2019. (SCI,IF: 4.305)

2017

  • A Fast Feature Weighting Algorithm of Data Gravitation Classification
    Lizhi Peng, Hongli Zhang, Haibo Zhang, Bo Yang
    In (Elsevier) Information Sciences, 375(1), pp. 54-78, 2017. (SCI,IF: 4.832)
  • Imbalanced traffic identification using an imbalanced data gravitation-based classification model, C
    Lizhi Peng, Haibo Zhang, Yuehui Chen, Bo Yang
    In Computer Communications 102(1), pp. 177–189, 2017. (SCI,IF: 3.338)
  • Flexible Neural Trees based Early Stage Identification for IP Traffic
    Zhenxiang Chen, Lizhi Peng*, Chongzhi Gao, Bo Yang, Yuehui Chen, Jin Li
    In (Springer) Soft Computing 21(8), pp. 2035–2046, 2017. (SCI,IF: 1.630)

2016

  • Effectiveness of Statistical Features for Early Stage Internet Traffic Identification
    Lizhi Peng, Bo Yang, Yuehui Chen, and Zhenxiang Chen
    In (Elsevier) Parallel Programming, 44(1), pp. 181-197, 2016. (SCI, IF:0.491)

2015

  • Effective Packet Number for Early Stage Internet Traffic Identification
    Lizhi Peng, Bo Yang, and Yuehui Chen
    In (Elsevier) Neurocomputing, 156, pp. 252-267, 2015. (SCI,IF: 2.005)
  • Early Stage Internet Traffic Identification Using Probabilistic Neural Networks
    Lizhi Peng
    In Computer and Communication Engineering, 4(6), pp. 417-425, 2015.

Previous

  • A New Approach for Imbalanced Data Classification Based on Data Gravitation
    Lizhi Peng, Hongli Zhang, Bo Yang, Yuehui Chen
    In (Elsevier) Information Sciences, 288(20), pp. 347-373, 2014. (SCI,IF: 3.893)
  • Tong Wu, Traffic Labeller: Collecting Internet Traffic Samples with Accurate Application Information
    Lizhi Peng, Hongli Zhang, Bo Yang, Yuehui Chen
    In China Communications, 11(1), pp. 69-78, 2014. (SCI,IF: 0.464)
  • A Parallel Evolving Algorithm for Flexible Neural Tree
    Lizhi Peng, Bo Yang, Lei Zhang, Yuehui Chen
    In (Elsevier) Parallel Computing, 37(10), pp. 653-666, 2011. (SCI,IF: 1.390)
  • Data Gravitation Based Classification
    Lizhi Peng, Bo Yang, Yuehui Chen, Ajith Abraham
    In (Elsevier) Information Sciences, 179(6), pp. 809-819, 2009. (SCI,IF: 3.643)
  • How Many Packets Are Most Effective for Early Stage Traffic Identification: An Experimental Study
    Lizhi Peng, Bo Yang, Yuehui Chen, Tong Wu
    In China Communications, 11(9), pp. 206-216, 2014. (SCI,IF: 0.464)



Conference Papers

2023

  • An Early Stage Identification of CryptominingBehavior with DNS Requests
    Hui Li,Yihang Hao,Mengda Lv,Xiaojie Yu,Bo Yang,Lizhi Peng*
    In International Conference on Advanced Data Mining and Applications, 2023, accepted

2023

  • A novel adaptive distribution distance-based feature selection method for video traffic identification
    Licheng Zhang,Shuaili Liu,Qingsheng Yang,Zhongfeng Qu,Lizhi Peng*
    In International Conference on Advanced Data Mining and Applications, 2023, accepted

2023

  • Live-Stream Identification Based on Reasoning Network with Core Traffic Set
    Yingshuo Bao,Shuaili Liu,Zhongfeng Qu,Lizhi Peng*
    In International Conference on Knowledge Science, Engineering and Management, 2023, accepted

2021

  • A Novel Feature Method for Fast Extraction of Mining Traffic
    Peifa Sun,Shuaili Liu,Bo Yang,Lizhi Peng*
    In IEEE International Conference on High Performance Computing and Communications, 2021, accepted

2016

  • SMOTE-DGC: An Imbalanced Learning Approach of Data Gravitation Based Classification
    Lizhi Peng, Haibo Zhang, Bo Yang, Yuehui Chen, Xiaoqing Zhou
    In Proceedings of the 12th International Conference on Intelligent Computing, pp. 133-144, 2016
  • An under-sampling imbalanced learning of data gravitation based classification
    Lizhi Peng, Bo Yang, Yuehui Chen, Xiaoqing Zhou
    In Proceedings of the 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, pp. 13-15, 2016.
  • Early Stage Internet Traffic Identification Using Data Gravitation Based Classification
    Lizhi Peng, Haibo Zhang, Bo Yang, Yuehui Chen, Xiaoqing Zhou
    In Proceedings of the 14th IEEE International Conference on Pervasive Intelligence and Computing, pp. 1-8, 2016.
  • On the Effectiveness of Packet Sampling for Early Stage Traffic Identification
    Lizhi Peng, Haibo Zhang, Bo Yang, Majing Su and Yuehui Chen
    In Proceedings of the 2016 IEEE International Conference CyberPhysical and Social Computing (CPSCom), Chengdu, China, pp. 468-473, 2016.
  • On the Impact of Packet Inter Arrival Time for Early Stage Traffic Identification
    Linlin Wang, Lizhi Peng, Majing Su and Xiaoqing Zhou
    In Proceedings of the 2016 IEEE International Conference Cyber, Physical and Social Computing (CPSCom), Chengdu, China, pp. 510-515, 2016.

Previous

  • Feature Evaluation for Early Stage Internet Traffic Identification
    Lizhi Peng, Hongli Zhang, Bo Yang, Yuehui Chen
    In Proceedings of the 14th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP2014), pp. 511-525, 2014.
  • Hierarchical RBF Neural Network Using for Early Stage Internet Traffic Identification
    Lizhi Peng, Bo Yang, and Yuehui Chen
    2014 IEEE 17th International Conference on Computational Science and Engineering (CSE2014), pp. 1188-1195, 2014.
  • Mahmoud T. Qassrawi, Gang Lu, Traffic Identification Using Flexible Neural Trees
    Lizhi Peng, Hongli Zhang, Bo Yang, Yuehui Chen
    The 18th IEEE International Workshop on Quality of Service (IWQoS2010), 2010.06.13-15, Beijing, pp. 1-5.