Xiongye Xiao
xiongyex@usc.edu

I am Xiongye Xiao, a PhD candidate in Electrical and Computer Engineering (ECE) at the University of Southern California (USC). My research focuses on AI for Science, Network Science, and Machine Learning, with a goal of developing advanced physical, mathematical, and computational tools to study multiscale structures and dynamics and map them to functions. My work primarily involves complex network analysis, neural operators, multimodal learning, and generative modeling, while also exploring their applications in various scientific fileds including neuroscience and materials science.

  • NSF COMPASS Junior Scientists Grant, USA, 2024
  • Best Poster Award (1st of 30+), Fall Fourier Talks 2023, Math Dept., UMD, USA, 2023
  • Outstanding Research Assistant in Electrical Engineering (1 recipient in ECE Dept.), USC, USA, 2022
  • • Ming Hsieh Department of Electrical & Computer Engineering Best Research Assistant Award (2 recipients in ECE Dept.), ECE Dept., USC, USA, 2022
  • • Annenberg Graduate Fellowship, USC, USA, 2019
  • 1st Prize, 4th Annual China “Internet +” College Students Innovation Competition, Zhejiang, CN, 2018
  • • Supcon Corporate Scholarship, CSE Dept., ZJU, CN, 2017, 2018
  • 1st Prize, 31st Annual National High School Physics Competition, Hubei, CN, 2014