Misc

Industrial Experience

  • Founding Member, Research Scientist @ AiZip (2020-2023)
    Full-stack machine learning projects towards robust, efficient and scalable real-world AI-IoT solutions
  • Applied Scientist Intern @ Amazon (2022)
    Multi-view human reposing and virtual try-on system, which led to a patent

Awards

  • Best Paper Awards
    • Machine Learning for Health (2024)
    • HKSTP (2019)
    • CVPR workshop (2019)
  • Fellowships
    • Vector Institute Fellowship (offered, 2023)
    • Seagate Fellowship (2018)
    • National Scholarship of China (2015, 2016, 2017)

Services & Outreach

  • Caltech Student-Faculty Program Summer Seminar Day, Session Chair (2024)
  • Caltech Graduate Admissions Committee, AI track (2023)
  • Berkeley Diversity, Equity, Inclusion, and Belonging (DEIB) Committee in Vision Science (2022-2023)
  • Berkeley AI Research Mentoring Program, Mentor (2022-2023)
  • Bay Area Scientists in Schools, Volunteer Teacher (2019-2022)
  • Bay Area Vision Research Day (BAVRD), Program Committee Chair (2019)
  • Reviewer
    • Conferences: CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, ICML, AAAI, MICCAI, WACV, BMVC, ACCV, CPAL
    • Journals: IEEE-TPAMI, IEEE-TIP, IEEE-TCSVT, IEEE-JBHI, IEEE-JSTARS, IEEE-Access, ACM Comp Surv., ACM TOMM, IJMLC, PLOS One, OVS, TVST, Heliyon, Current Medical Imaging, Scientific Reports, Contact Lens and Anterior Eye, Quantitative Imaging in Medicine and Surgery
  • Editor
    • Frontiers in Computer Science
    • Journal of Imaging

Media Coverage