About me (Curriculum Vitae)

I am currently a Ph.D. student in the Institute of Information Engineering, Chinese Academy of Sciences, under the supervision of Associate Prof. Yong Liu and Prof. Weiping Wang.
I received my Bachelor’s degree in Northeastern University in Shenyang, China, where I am a member of 2011 International class (English) in Software College.

Research

My research interests mainly lie in large scale machine learning with theoretical guarantees and efficient algorithms, but also kernel selection and graph-based semi-supervised learning.
In facts, my works focus on generalization analysis of those areas and building effective and scalable algorithmic tools for them, to channel theory and algorithms into applications.

Publications

  • New! Jian Li, Yong Liu, Rong Yin, Weiping Wang. “Multi-Class Learning using Unlabeled Samples: Theory and Algorithm”. Accepted in the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019).
  • New! Jian Li, Yong Liu, Rong Yin, Weiping Wang. “Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis”. Accepted in the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019).
  • Jian Li, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang. “Multi-Class Learning: From Theory to Algorithm”. Published in Advances in Neural Information Processing Systems 31 (NeurIPS 2018).
  • Jian Li, Yong Liu, Hailun Lin, Yinliang Yue, Weiping Wang. “Efficient Kernel Selection via Spectral Analysis”. Published in Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017).
  • Jian Li,

Honors and Awards

  • CAS Presidential Scholarship, Chinese Academy of Sciences (CAS), 2019.
  • Merit Student, University of Chinese Academy of Sciences, 2019.
  • Doctoral National Scholarship, Ministry of Education of P.R.China, 2018.
  • IIE Presidential Scholarship, Institute of Information Engineering, CAS, 2018.
  • Merit Student, University of Chinese Academy of Sciences, 2018.