河Ha 俊 Jun 秀Soo

Hi, I'm a Master's student working with Gunhee Kim at Seoul National University. My academic interest lies in machine learning, game optimization, and theoretical multi-agent learning. Simply put, I study how and when multiple competitive neural networks would (quickly) converge to their (local) Nash equilibrium. (Résumé →)

Education

• M.S. in Artificial Intelligence, Seoul National University (Sep 2020 - Feb 2023, Expected)
• B.S. in Software, Hanyang University (Mar 2013 - Aug 2020, Graduated with distinction)
• B.S. in Mathematics, Hanyang University (Aug 2014 - Aug 2020, Dual degree)

Publications

• On Convergence of Lookahead in Smooth Games
  Junsoo Ha, Gunhee Kim.
  International Conference on Artificial Intelligence and Statistics (AISTATS), 2022. [PDF]


• A Neural Dicihlet Process Mixture Model for Task-Free Continual Learning
  Soochan Lee, Junsoo Ha, Dongsu Zhang, Gunhee Kim.
  International Conference on Learning Representations (ICLR), 2020. [PDF] [Code]


• Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation Soochan Lee, Junsoo Ha, Gunhee Kim.
  International Conference on Learning Representations (ICLR), 2019. [PDF] [Code]

Professional Experience

I used to be a software engineer back before my academic career. I still love writing atomic programs with a single responsibility and minimal side-effects.

• Buzzni (Seoul, Korea. Mar 2017 - July 2017) / Backend Software Engineer @ Python
• Geopia (Seoul, Korea. Apr 2015 - Feb 2017) / Full-Stack Software Developer @ PHP, Java
• Nexol System (Seoul, Korea. Jan 2015 - Mar 2015) / Software Development Intern @ C#, Java
• LG Electronics (Seoul, Korea. Jul 2014 - Aug 2014) / Software Delveopment Intern @ Python

Profiles

• Google Scholar (@kuc2477)
• Semantic Scholar (@kuc2477)
• GitHub (@kuc2477)
• Linkedin (@kuc2477)
• Facebook (@하준수)