Portrait of Shuxin Zheng

Shuxin Zheng

Senior Researcher


Shuxin Zheng (郑书新) is a senior researcher from Machine Learning Group, Microsoft Research Asia (MSRA). He has a wide range of research interests in machine learning field, including fundamental algorithm in deep learning (graph learning, pre-training, etc), distributed machine learning and stochastic optimization. He is also devoted to develop advanced machine learning technologies for interdiscipline, such as AI for computer system and AI for molecule (drug discovery and material discovery).

Before joining Microsoft, he received undergraduate degree and Ph.D. degree in Electronic Engineering from University of Science and Technology of China in 2014 and 2019 respectively, supervised by Prof. Tie-Yan Liu and Prof. Nenghai Yu.


  • Graphormer is open srouced as General AI Molecular Simulation toolkit! [github]
  • Graphormer has won the Open Catalyst Challenge! [link]
  • Our work Mimicking atmospheric photochemical modeling with a deep neural network has been accepted by Atmospheric Research! [link]
  • Two papers have been accepted by NeurIPS 2021.
  • Our work Graphormer has shown that Transformer is all you need for Graph learning! [arXiv] [github] [blog]
  • We win the 1st place of KDD Cup 2021 OGB-LSC challenge (quantum chemistry track)! [kdd] [technical report]
  • Our paper How could Neural Networks understand Programs  has been accepted by ICML 2021. This work is our first attempt under the topic of Programming Language Processing (PLP). [arXiv] [github]
  • Our paper Cross-Iteration Batch Normalization has been accepted by CVPR 2021 and been integrated into YOLOv4. [arXiv] [github] [YOLOv4]

I’m looking for highly-motivated collaborators all the time. Please contact me if you’re interested.