Yipeng Wang 王一鹏

Professor, Ph.D. Supervisor
Faculty of Information Technology, Beijing University of Technology
Email:      wangyipeng@bjut.edu.cn
Address:  #100 Pingleyuan, Chaoyang District, Beijing, China, 100124

Yipeng Wang is currently a Professor with the Faculty of Information Technology Beijing University of Technology, China. He received his Ph.D. degree in computer science from the Institute of Computing Technology, Chinese Academy of Sciences(ICT, CAS) in 2014, and his research is on network security, Internet measurement, Natural language processing, and machine learning, and has one Best Paper Award on his protocol inference technology.

Openings!! I am looking for self-motivated and hardworking students and visiting scholars to work with me on exciting topics in network protocol analysis and DNS security. If you are interested in these areas, please send an email to me.

Recent Selected Publication:

[Artificial Intelligence]

  • [IJCAI’20] Gated POS-Level Language Model for Authorship Verification. 
    L. Ouyang, Y. Zhang, H. Liu, Y. Chen, and Yipeng Wang
    in
     Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, 2020. Acceptance rate: 592/4717 = 12.6%.
  • [AAAI’20] Joint Character Embedding and Adversarial Stability Training to Defend Adversarial Text. 
    H. Liu, Y. Zhang, Yipeng Wang, L. Zheng, and Y. Chen. 
    in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI),  Honolulu, Hawaii, USA, 2020. Acceptance rate: 1591/7737 = 20.6%.
  • [IJCNN’20] Unified Graph Embedding-Based Anomalous Edge Detection. 
    L. Ouyang, Y. Zhang, Yipeng Wang
    in Proceedings of the  International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020. Acceptance rate: 1134/1989 = 57%.
  • [AAAI’19] Translating with Bilingual Topic Knowledge for Neural Machine Translation. 
    X. Wei, Y. Hu, L. Xing, Yipeng Wang, and L. Gao. 
    in Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI),  Honolulu, Hawaii, USA, 2019. Acceptance rate: 1150/7095 = 16.2%.
  • [Neurocomputing’15] Update Vs. upgrade: Modeling with indeterminate multi-class active learning. 
    X. Zhang, S. Wang, X. Zhu, X. Yun, G. Wu, and Yipeng Wang.
    ElsevierNeurocomputing (Impact Factor: 2.083), 2015. 

[DNS Security]

  • [TIFS’20] Khaos: An Adversarial Neural Network DGA with High Anti-Detection Ability.
    X. Yun, J. Huang, Yipeng Wang(Corresponding author), T. Zang, Y. Zhou, and Y. Zhang.
    in  IEEE Transactions on Information Forensics and Security (TIFS). 15: 2225 – 2240 (2020). .
  • [IJCNN’20] A Feature Ensemble-based Approach to Malicious Domain Name Identification from Valid DNS Responses. 
    C. Zhao, Y. Zhang, and Yipeng Wang
    in
     Proceedings of the International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020. Acceptance rate: 1134/1989 = 57%.
  • [ICNP’19] A Linguistic-based Stacking Approach to Disposable Domain Detetion.
    Y. Zeng, Y. Zhang, T. Zang, X. Chen, and Yipeng Wang
     in Proceedings of the 27th IEEE International Conference on Network Protocol (ICNP), Chicago, USA, 2019. 
  • [ICC’19] A Comprehensive Measurement Study of Domain-squatting Abuse.
    Y. Zeng, T. Zang, Y. Zhang, X. Chen, and Yipeng Wang(Corresponding author).  
    in Proceedings of the 53rd IEEE International Conference on Communications (ICC),  Shanghai, China, 2019. Acceptance rate: 39%.

[Networking]

  • [ICNP’19] Rethinking Encrypted Traffic Classification: A Multi-Attribute Associated Fingerprint Approach.
    Y. Chen, T. Zang, Y. Zhang, Y. Zhou, and Yipeng Wang
    in Proceedings of the 27th IEEE International Conference on Network Protocol (ICNP), Chicago, USA, 2019. Acceptance rate: 29/121 = 13.7%.
  • [WCNC’18] A Cascade Forest Approach to Application Classification of Mobile Traces. 
    Y. Liu, S. Zhang, B. Ding, X. Li, and Yipeng Wang(Corresponding author). 
    in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC),  Barcelona, Spain, April 2018.
  • [JNCA’17] A Nonparametric Approach to the Automated Protocol Fingerprint Inference.
    Yipeng Wang
    , Xiaochun Yun, Yongzheng Zhang, Liwei Chen and Guangjun Wu.  
    Elsevier Journal of Network and Computer Applications (Impact Factor: 3.500), 99C (2017) pp. 1-9.
  • [ComNet’17] Rethinking Robust and Accurate Application Protocol Identification.
    YiPeng Wang
    , Xiaochun Yun, Yongzheng Zhang, Liwei Chen and Tianning Zang. 
     Elsevier Journal of Computer Networks (Impact Factor: 2.516), 129P1 (2017) pp. 64-78.
  • [ToN’16] A Semantics-Aware Approach to the Automated Network Protocol Identification. 
    Xiaochun Yun, Yipeng Wang (Corresponding author),  Yongzheng Zhang, and Yu Zhou. 
    IEEE/ACM Transactions on Networking (ToN), 24 (1), 583 – 595, 2016. 
  • [ICNP’15] Rethinking Robust and Accurate Application Protocol Identification: A Nonparametric Approach. 
    Yipeng Wang, Xiaochun Yun, and Yongzheng Zhang. 
    in Proceedings of the 23th IEEE International Conference on Network Protocols (ICNP),  San Francisco, CA, November  2015. Acceptance rate: 38/187 = 20.3%.
  • [SECURECOMM’15] A Markov Random Field Approach to Automated Protocol Signature Inference. 
    Yongzheng Zhang, Tao Xu, Yipeng Wang (Corresponding author), Jianliang Sun, and Xiao-Yu Zhang. 
    in Proceedings of the 11th EAI International Conference on Security and Privacy in Communication Networks (SECURECOMM),  Dallas, TX, October 2015. Acceptance rate: 30/108 = 28%.
  • [ICNP’12] A Semantics Aware Approach to Automated Reverse Engineering Unknown Protocols. 
    Yipeng Wang
    , Xiaochun Yun, M. Zubair Shafiq, Liyan Wang, Alex X. Liu, Zhibin Zhang, Danfeng(Daphne) Yao, Yongzheng Zhang, and Li Guo. 
    in Proceedings of the 20th IEEE International Conference on Network Protocols (ICNP), Austin, Texas, October 2012. Acceptance rate: 30/131 = 22.9%. BEST PAPER AWARD
  • [ACNS’11] Inferring Protocol State Machine from Network Traces: A Probabilistic Method.
    Yipeng Wang
    , Zhibin Zhang, Danfeng(Daphne) Yao, Buyun Qu, and Li Guo.
    in Proceedings of the 9th International Conference on Applied Cryptography and Network Security (ACNS). Nerja (Malaga), Spain, June 2011. Acceptance rate: 31/172 =18%.

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