Lan-Zhe Guo

M.Sc. student, LAMDA Group
Department of Computer Science & Technology
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China

Supervisor: Associate Professor Yu-Feng Li (李宇峰)




Laboratory: Computer Science Building, Xianlin Campus of Nanjing University


I am a graduate student of Department of Computer Science & Technology in Nanjing University and a member of LAMDA Group, which is led by professor Zhi-Hua Zhou.

I received my B.Sc. degree from Software College of Jilin University. In September 2017, I was admitted to study for a M.Sc. degree in Nanjing University.

Research Interests

My research interests include Machine Learning and Data Mining, expecially on weakly supervised learning, e.g., semi-supervised learning, transfer learning and so on.


  • Lan-Zhe Guo, Yu-Feng Li. A general formulation for safely exploiting weakly supervised data . In: Proceedings of the 32nd AAAI conference on Artificial Intelligence (AAAI'18), New Orleans, LA.
  • Lan-Zhe Guo, Shao-Bo Wang, Yu-Feng Li. Large Margin Graph Construction for Semi-Supervised Learning. In: 2018 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2018: 1030-1033.
  • Lan-Zhe Guo, Tao Han, Yu-Feng Li. Robust Semi-Supervised Representation Learning for Graph-Structured Data. In: Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'19). Macau, China. 2019.
  • Lan-Zhe Guo, Yu-Feng Li, Ming Li, Jin-Feng Yi, Bo-Wen Zhou, Zhi-Hua Zhou. Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. arXiv preprint arXiv:1904.09743
  • Tong Wei, Lan-Zhe Guo, Yu-Feng Li, Wei Gao. Learning safe multi-label prediction for weakly labeled data. Machine Learning, 2018, 107(4): 703-725.
  • Yu-Feng Li, Lan-Zhe Guo (co-first author), Zhi-Hua Zhou. Towards Safe Weakly Supervised Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), in press.
  • Awards & Honors

  • ACM-ICPC Asia Regional Contest, Gold Medal: Shenyang Site, 2015
  • ACM-ICPC Asia Regional Contest, Sliver Medal: Mudanjiang Site, 2014
  • ACM-ICPC Asia Regional Contest, Sliver Medal: AnShan Site, 2014
  • ACM-ICPC Asia Regional Contest, Sliver Medal: BeiJing Site, 2015
  • The 2015 China Collegiate Programming Contest, Sliver Medal
  • Northeast Collegiate Programming Contest, Second Place, 2015
  • CodeCup 2015: Gold Medal
  • ACM-ICPC China Provincial Programming Contest, Gold Medal, Jilin, 2014
  • Teaching Assistant

    Online Courses

  • Deep Learning Specialization. [Certificate]
  • Coursera.Neural Networks and Deep Learning. [Certificate]
  • Coursera.Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. [Certificate]
  • Coursera.Structuring Machine Learning Projects. [Certificate]
  • Coursera.Convolutional Neural Networks. [Certificate]
  • Coursera.Sequence Models. [Certificate]
  • Correspondence


    Laboratory: Room 327, Computer Science Building, Xianlin Campus of Nanjing University

    Address: Lan-Zhe Guo, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Xianlin Avenue, Qixia District, Nanjing 210023, China
    (南京市栖霞区仙林大道163号, 南京大学仙林校区, 软件新技术国家重点实验室, 210023.)