Xitong Zhang
Scholar

Xitong Zhang

Google Scholar ID: Ci9svAcAAAAJ
Qualcomm
GeneralizationLarge Language ModelGraph Neural Network
Citations & Impact
All-time
Citations
651
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Research Experience
  • Senior Machine Learning Engineer at Qualcomm (July 2024 – Present): Working on GenAI, Diffusion Models, and Large Language Models.
  • Graduate Research/Teaching Assistant at Michigan State University (August 2018 – June 2024): Focused on machine learning theory and applications in Directed Graph Neural Networks, Spatiotemporal Data Mining, Generalization, and Regularization.
  • Machine Learning Engineer Intern at Qualcomm (May 2023 – August 2023): Researched supervised and unsupervised image inpainting and outpainting using diffusion models.
  • Graduate Research Assistant at Los Alamos National Lab (March 2022 – August 2022): Generated large-scale datasets and performed Uncertainty Quantification for data-driven Full Waveform Inversion (FWI).
  • Graduate Research Assistant at Los Alamos National Lab (June 2021 – August 2021): Developed physics-informed machine learning methods for FWI.
  • Graduate Research Assistant at Los Alamos National Lab (June 2020 – August 2020): Worked on GNN-based earthquake characterization and sequential seismic image generation.
  • Graduate Research Assistant at Worcester Polytechnic Institute (October 2017 – May 2018): Conducted image segmentation on live cell images.