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Seongjun Yang

A.I Researcher

Education

M.S in Artificial Intelligence

KAIST
2020 - 2022

B.S in Computer Science

Yonsei University
2014 - 2020

About Theme

Who I am

I investigate various open real-world problems that can be accessed by machine learning.

Paper

  • Towards the Practical Utility of Federated Learning in the Medical Domain
    • Seongjun Yang, Hyeonji Hwang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi
    Under review
  • EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
    • Gyubok Lee, Hyeonji Hwang, Seongsu Bae, Yeonsu Kwon, Woncheol Shin, Seongjun Yang, Minjoon Seo, Jongyeup Kim, Edward Choi
    Proc. of Neural Information Processing Systems (NeurIPS) 2022 Datasets and Benchmarks
  • Task Agnostic and Post-hoc Unseen Distribution Detection
    • Radhika Dua, Seongjun Yang, Yixuan Li, Edward Choi
    Proc. of Winter Conference on Applications of Computer Vision (WACV) 2023
  • Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction
    • Gyubok Lee*, Seongjun Yang*, Edward Choi
    Proc. of Association of Computational Linguistics (ACL), 2021 (Oral)
  • Real Time Health Monitoring with WiFi CSI and Sound (Domestic paper)
    • Seongjae Hong, Haksu Lee, Hyoju Kim, Seongjun Yang, Seungjae Han
    KICS, S.Korea, 2020

    Experiences

    Teaching Assistant

    2020.09 - 2021.12
    KAIST A.I Graduate school

    Machine Learning for Healthcare (AI612), Programming for AI (AI504)

    Intern

    2017 - 2018
    CCNI Research, South Korea

    Thanks to the CEO of CCNI Research, I had an opportunity to work. I mainly managed the homepage and database.

    Sergeant

    2015.02 - 2016.11
    R.O.K Army

    Administrative clerk & infantryman

    Awards

    6th Industrial Engineering Competition (Korean Ministry of Trade, Industry and Energy, 3rd Award)
         - Proposed a system for road damage management system.