cv

Education

  • 2018 - 2023
    Ph.D. in Electrical Engineering and Computer Sciences
    University of California, Berkeley
  • 2014 - 2018
    B.E. in Biomedical Engineering
    Tsinghua University

Experience

  • 2024 -
    Computer Scientist
    Adobe Inc. Computational Photography Team
    • Working on real-world computational photography applications.
  • 2023 - 2024
    Senior Research Enginner
    Samsung Research America (MPI Lab)
    • Working on real-world computational imaging applications for next-generation AI camera.
  • 2018 - 2023
    Graduate Student Researcher
    University of California, Berkeley
    • Peceptual feature loss for advanced MRI reconstruction.
    • Direct contrast synthesis from Magnetic Resonance Fingerprinting.
    • Memory-efficient learning for high-dimensional MRI reconstruction.
    • Complex-valued scattering representations for image classifications.
  • 2022 - 2023
    Research Scientist Intern
    Adobe Research
    • Developed real-world parametric image harmonization pipeline.
    • Work accpected to CVPR 2023, patent filed, product delivered.
  • May - Aug 2021
    Research Intern
    Emerging Product Team @ Adobe
    • Developed high-resolution image matting algorithms for smart devices.
    • Work submitted to ICCV 2023, patent filed, product delivered.
  • Jun - Aug 2017
    Research Assistant
    Stanford University
    • Developed temperature imaging piplines using thermoacoustic imaging.
  • 2015 - 2018
    Undergraduate Research Assistant
    Tsinghua University
    • Developed high-fidelity and high-efficiency reconstruction algorithms for Magnetic Resonance Temperature Imaging.