Ming Pang @ LAMDA, NJUCS

Modified: 2014/08/25 22:19 by admin - Uncategorized
ImageChinese name
Ming Pang (M. Pang)

Ph.D. Student, LAMDA Group
Department of Computer Science and Technology
State Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China

Building of Computer Science and Technology,
Xianlin Campus of Nanjing University



Currently I am a third year Ph.D. student of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group, led by Prof. Zhi-Hua Zhou. Edit


Professor Zhi-Hua Zhou.



I received my B.Sc. degree in Department of Computer Science and Technology in Nanjing University in 2014. Since September 2014, I was admitted to study for a Ph.D. degree in Nanjing University without entrance examination.


Research Interest

My research interests include: Machine Learning and Data Mining. Currently, I am focusing on Deep Forest and Learnware.


Publication list

  • Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou. Unorganized malicious attacks detection. In: Advances in Neural Information Processing Systems 31 (NIPS'18), Montreal, Canada, 2018.
  • Ming Pang, Kai Ming Ting, Peng Zhao, Zhi-Hua Zhou. Improving deep forest by confidence screening. In: Proceedings of the 18th IEEE International Conference on Data Mining (ICDM'18), Singapore, 2018.
  • 庞明, 周志华. 无组织恶意攻击检测问题的研究. 中国科学: 信息科学, 2018. [PDF]
    (It is a paper in Chinese, and the conference version is honored to receive the CCFAI'17 best paper award. English info:
    Ming Pang and Zhi-Hua Zhou, Unorganized malicious attacks detection. SCIENTIA SINICA Informationis, 2018)



  • Zhi-Hua Zhou, Ming Pang, Wei Gao, Min Tao. Unorganized malicious attacks detection. (CN107689960A)
  • Meng-Tian Li, Ming Pang, Cheng-Lin Meng, Cheng-Xiang Jiang, Tong Lu. A Vision Based Human-computer Interaction System in the Presentation Environment. (CN103268153B)



  • The Second Prize in CCF Big Data Competition as the Team Leader. 2014


Teaching Assistant

State Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(In Chinese:) 南京市栖霞区仙林大道163号,南京大学仙林校区603信箱,软件新技术国家重点实验室,210023。

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