Basic infomation

  • My name is Shijian XU (Chinese: 徐世坚).
  • I am currently a PhD student at University of Basel.
  • I graduated from EPFL with a Master’s degree in Data Science.
  • I received my B.Sc. degree in Computer Science and Technology in 2018 from Nanjing University.
CV

Education

  • 2024.04 – Current   University of Basel, Basel, Switzerland
    PhD student in Computer Science

  • 2020.09 – 2023.02   EPFL, Lausanne, Switzerland
    Master of Science MSc in Data Science

  • 2014.09 – 2018.06   Nanjing University, Nanjing, China
    B.Sc. in Computer Science and Technology

Experience

  • 2022.09 – 2023.02   LIONS@EPFL, Lausanne, Switzerland
    Out-of-distribution generalization (Master thesis)

  • 2022.02 – 2022.08   DisneyResearch|Studios, Zürich, Switzerland
    Image super-resolution.

  • 2021.03 – 2021.12   VILAB@EPFL, Lausanne, Switzerland
    Measuring the effectiveness of self-supervised pre-training methods for transfer learning.

  • 2020.02 – 2020.08   Tencent AI Lab, Shenzhen, China
    Research focuses on self-supervised representation learning.

  • 2018.09 – 2019.12   City University of Hong Kong, HK SAR, China
    Research in computer vision, mainly focus on deep learning and image processing.

  • 2015.09 – 2018.06   Nanjing University, Nanjing, China
    Research focuses on deep learning for smartphone app prediction.

Research interests

Computer vision, image processing, self-supervised learning, OOD generalization

Publications & Preprints

Projects

  • 2018.09 – 2019.03   Image Specular Highlight Removal
    draft
  • 2019.04 – 2019.11   Single Image Heavy Rain Removal
    report

Awards & Honors

  • 2018   Nanjing University   Second Prize of Excellent Bachelor Thesis Award
  • 2017   Nanjing University   Third Prize of Elite Program Scholarship
  • 2017   Nanjing University   Honorable Mention for MCM 2017
  • 2016   Nanjing University   Third Prize of People’s Scholarship
  • 2015   Nanjing University   Second Prize of People’s Scholarship

Misc.

  • A small but (maybe) interesting course project: Link