Keon Lee
Last update
Aug. 21, 2024
Hi there ๐
I am a deep learning researcher at KRAFTON AI, deeply passionate about generative models that empower conversational agents imbued with a unique personality (like Samantha from the movie "Her"). My current focus lies on text-to-speech (TTS), as I believe it offers the most intuitive and efficient means of a human-like personality.
I received my B.S. degree in Industrial Design & School of Computing, M.S. degree in School of Computing from KAIST in 2020, 2022 respectively, under the supervision of Prof. Daeyoung Kim.
Research
Mini-Batch Optimization of Contrastive Loss
Kartik Sreenivasan, Keon Lee, Jeong-Gwan Lee, Anna Lee, Jaewoong Cho, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee
ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation Models
[paper]
RedPen: Region- and Reason-Annotated Dataset of Unnatural Speech
Kyumin Park, Keon Lee, Daeyoung Kim, Dongyeop Kang
arXiv 2022
[paper]
Academic Services
Conference Reviewer: NeurIPS (2024)
Award
1st Papers with Code Contributor Award, 2022
by The Papers with Code Team
Iโve been selected as a recipient of the first ever Papers with Code Contributor Award by my ongoing contributions toย Papers with Code!
Education
M.S. in School of Computing, Korea Advanced Institute of Science and Technology (KAIST)
Advised by Daeyoung Kim, Mar 2020 - Mar 2022
Area: Expressive Speech Synthesis
B.S. in Industrial Design & School of Computing, Korea Advanced Institute of Science and Technology (KAIST)
Mar 2014 - Mar 2020
Experience
Deep Learning Researcher
Mar 2022 - Present
Data Scientist Intern
Jul 2021 - Feb 2022
Challenge
Jun 2019 - Aug 2019
Boostcamp @ NAVER [link]
Area: Javascript and React with a server backend
Passed all steps.
Learned Javascript and React with backend materials.
Understood full stack programming at a production level.
Research Intern
Advised by Juho Kim
Jan 2019 - Feb 2019
KIXLAB @ KAIST [link]
Area: Crowdsourcing for credibility in online discussions
Aimed to invite real users to perform credibility identification tasks when engaging with site contents.
Prototyped with React and Firebase and managed with Git.
Internship
Jun 2018 - Aug 2018
Elice [link]
Area: Educational services for coding and data science
Worked as a front-end developer.
Implemented new components, updated features with live storybooks, and handled hotfixes for production servers.
Experienced with Git flow and scheduled issues with Jira board.
Also collaborated with other teams including design, operation and backend.
Internship
Jun 2017 - Aug 2017
TreeNLink
Area: Product design for smart farm
Covered from package design to structural design of plant cultivation equipment as a leader of the internship.
Dedicated to developing new products and contributed to entering the Japanese market.
Selected Project
PyTorch Implementations
Github Project, May 2021 - Present
Please visit my Github repositories to see all the ongoing projects!
Keep dailyย surveying on deep learning based Audio and Speech Processing, mainly by arXiv.
Implement a paper at best in a week as the fastest and most accurate repo in the community.
Collaborate with Github's big names to implement/resolve/improve so many exciting projects.
Iโve been selected as a recipient of the first ever Papers with Code Contributor Award by my ongoing contributions toย Papers with Code!
Pintos
Course Project: Operating Systems and Lab, Aug 2019 - Dec 2019
Passed all the Pintos projects (1, 2, 3, and 4).
Understood the basic concepts of operating systems and C programming in complex programs.
Speech Assistant for English Learner
Personal Project, Apr 2019
A real-time checking system for English speaking style by STT and TTS modules.
This project is not for general users, but for my mother's English practice.
Homepage
Personal Project, Jun 2019 - present
Built personal web pages using the latest technology in React.
๊ฐ๋ฐ์๊ทธ๋ฆฌ๊ณ ๋์์ด๋ (Programmers and Designers)
Personal Project, Sep 2017 - Oct 2019
A personal project that uses Selenium, BeautifulSoup, and Pyqt5 (for GUI) to deliver programs (crawlers and automated web testers in Python) to various customers. Example tasks include extracting movie information, analyzing social media (Instagram, Facebook) posts using NLTK and KoNLTK, and collecting real-time stock price information.
One of the various projects was carried out as part of a government project with the Korea Robot Industry Association. In that project, job information from multiple sites was crawled and analyzed according to given criteria to ascertain current employment in robotics and artificial intelligence.
Managed the service center through the Kakao Channel and attracted customers through the freelance platform called Kmong.
Linky @ E5 KAIST
Start-up, Jun 2017 - Dec 2017
Aimed to provide a service that overcomes loneliness by sharing the sounds of everyday life and empathizing with each other.
Unfortunately, it could not be realized in production, but it provided an experience for the startup ecosystem.
System Design for National Science Museum
Course Project: System Design, Mar 2017 - Jun 2017
Recruited elementary school students and parents who are interested in the project.
The goal was to maintain a high revisit rate of National Science Museum.
The requirements were identified by applying the system design process, such as affinity diagrams. Some of our solutions have actually been incorporated into their program.
Graduation Project @ ID KAIST
Advised by KunPyo Lee, Mar 2017 - Dec 2017
An assistant (application) for the gold generation that helps them remember the memories of social networks.
Fruiteria
Course Project: Entrepreneurship & Startup Creation, Mar 2016 - Jun 2016
Deliver different combinations of fruits every day to 40 people for 3 weeks. More than 90 people contacted us on the Facebook page I managed at the time.
The response has been very good as there is not yet a fruit-related delivery platform on campus. Many students were looking forward to the launch!
Unfortunately, I cannot proceed further due to the remaining semester. However, I do remember that a similar service came out after Frutheria.
Teaching Experience
Fall 2021 @ KAIST ํ๋์ํ ํ์ ์ ์ฐ๊ฐ๋ฐ ์ญ๋ ๋ณด์ ์ธ์ฌ ์์ฑ๊ณผ์
Spring 2021 @ KAIST System Programming (CS230)
Fall 2020 @ KAIST Introduction to Programming (CS101)
Spring 2020 @ KAIST System Programming (CS230)