people

members of the lab or group


prof_pic.jpg

555 your office number

123 your address street

Your City, State 12345


layout: about title: about permalink: /

subtitle: Affiliations. Address. Contacts. Moto. Etc.

profile: align: right image: prof_pic.jpg image_circular: false # crops the image to make it circular more_info: > <p>Room #703-2, E106 Bldg, UNIST</p>

social: true # includes social icons at the bottom of the page news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” —

I am currently a M.S. student advised by Prof. Taehwan Kim, in IMML lab at UNIST AIGS. Previously, I received my B.S. in Computer Science Engineering from Ulsan National Institute of Science and Technology (UNIST).

My current research aims to develop machine learning methods that enable effective information interaction across multimodal representation spaces. My ultimate research question is whether generative models can truly understand human expressions — and beyond that, how to achieve more robust understanding that allows for immersive interaction with humans.


prof_pic.jpg

555 your office number

123 your address street

Your City, State 12345


layout: about title: about permalink: /

subtitle: Affiliations. Address. Contacts. Moto. Etc.

profile: align: right image: prof_pic.jpg image_circular: false # crops the image to make it circular more_info: > <p>Room #703-2, E106 Bldg, UNIST</p>

social: true # includes social icons at the bottom of the page news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” —

I am currently a M.S. student advised by Prof. Taehwan Kim, in IMML lab at UNIST AIGS. Previously, I received my B.S. in Computer Science Engineering from Ulsan National Institute of Science and Technology (UNIST).

My current research aims to develop machine learning methods that enable effective information interaction across multimodal representation spaces. My ultimate research question is whether generative models can truly understand human expressions — and beyond that, how to achieve more robust understanding that allows for immersive interaction with humans.