Feng Jinjia is currently a third-year Ph.D. student at the Gaoling School of Artificial Intelligence, Renmin University of China, under the supervision of Prof. Zhewei Wei. Prior to this, he obtained a Master’s degree in Computer Application Technology from the School of Information, Renmin University of China in June 2021, and a Bachelor’s degree in Computer Science and Technology from the same school in June 2018.

Research Interests

My research focuses on graph machine learning and large-scale graph data pre-training. Currently, I am working on the alleviation of information bottlenecks through virtual node structures in graph Transformers, positional encoding of graph structures, and pre-training based on molecular geometric structures.

Publication

• MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio.

  Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu. (Accepted by CIKM 2022)

• Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning.

  Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu. (Accepted by CIKM 2024)
  
  

Contact information

Email: jinjia_feng@ruc.edu.cn