Welcome! Hi, I’m Soobee Lee. I’m currently working as an AI research engineer in Intel Korea. Previously, I’ve studied for resource-efficient continual learning in UNIST with Prof. Myeonjae Jeon in OMNIA Lab. Please feel free to email me, if you have any question.

Publications

1. Sibylla: To Retry or Not To Retry on Deep Learning Job Failure, USENIX ATC, 2022 [PDF]
   • Taeyoon Kim, Suyeon Jeong, Jongseop Lee, Soobee Lee, Myeongjae Jeon
2. CarM: Hierarchical Episodic Memory for Continual Learning, DAC, 2022 [PDF][Extended PDF][Slides][Code]
   • Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon
3. “동적 시간 왜곡(DTW)을 이용한 오토인코더 기반 청각치환 방법의 사용자 학습 가능성 검증”, 한국멀티미디어학회 추계 학술대회, 2019 [Code]
   • Soobee Lee, Chiyoon Jung, Kyeongdeok Moon, Chekyu Kim

Education

• M.S in Computer Science and Engineering, UNIST, Ulsan, Korea. (2020-2022)
• B.S in Computer Engineering, Pukyong National University, Busan, Korea. (2015-2020)
• B.S in Physics, Pukyong National University, Busan, Korea. (2015-2020)

Experiences

• AI research Engineer, Intel Korea (2022.03-)
• M.S. student in OMNIA, UNIST (2020-2022)
• Google Women Techmakers Scholar, Google (2019)
• Intern in Artificial Intelligence Research Laboratory, ETRI (2019)
• Intern in Visual Communication Laboratory, PKNU (2018-2019)