실리콘밸리 한인 엔지니어 토크콘서트

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실리콘밸리 한인 엔지니어 토크콘서트 등록하기

이준석 구글 소프트웨어 엔지니어

Google Research, Machine Perception 연구원 (2015 ~ 현재)

Georgia Institute of Technology 컴퓨터공학 박사 (2015)

서울대학교 컴퓨터공학부 학사 (2009)

CVPR YouTube-8M Video Understanding Challenge 워크샵 Program Chair (2017)

IEEE ICDM 국제 학술대회 학생최고논문상 수상 (2016)

AISTATS 국제 학술대회 Publicity Chair (2015)

ACM World Wide Web 컨퍼런스 학생최고논문상 수상 (2014)

Heidelberg Laureate Forum (HLF) 미국대표단 (2014)

오픈소스 소프트웨어 PREA (추천시스템 툴킷) 제작, 운영 (2011~)

학술대회 심사위원 (NIPS, AAAI, WSDM 등)

저널 심사위원 (JMLR, TIST, TKDE 등)


Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio. LLORMA: Local Low-Rank Matrix Approximation, To appear in Journal of Machine Learning Research (JMLR), 2016.

Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer. Local Collaborative Ranking, Proceedings of the 23rd International World Wide Web Conference (WWW), 2014.

Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon. Automatic Feature Induction for Stagewise Collaborative Filtering, Advances in Neural Information Processing Systems (NIPS) 25, 2012.


Joonseok Lee is a research engineer in Video Content Analysis team, in Machine Perception at Google Research. He is mainly working on content-based YouTube Video Recommendation, utilizing video features extracted using Google Brain. He earned his Ph. D. in Computer Science from Georgia Institute of Technology in August 2015, under the supervision of Dr. Guy Lebanon and Prof. Hongyuan Zha. His thesis is about local approaches for collaborative filtering, with recommendation systems as the main application. He has done three internships during Ph.D, including Amazon (2014 Summer), Microsoft Research (2014 Spring), and Google (2013 Summer). Before coming to Georgia Tech, he worked in NHN corp. in Korea (2007-2010). He received his B.S degree in computer science and engineering from Seoul National University, Korea. His paper "Local Collaborative Ranking" received the best student paper award from the 23rd International World Wide Web Conference (2014). He has served as a program committee in many conferences including NIPS, AAAI, WSDM, and CIKM, and journals including JMLR, ACM TIST, and IEEE TKDE. He co-organized the CVPR'17 Workshop on YouTube-8M Large-Scale Video Understanding as a program chair, and served as the publicity chair for AISTATS 2015 conference. He is currently serving as a reviewer for Google Faculty Research Awards Program. More information is available in his website (

한승엽 루브릭 테크니클 스태프


- Rubrik Inc., Member of Technical Staff, 2016/07-현재

- University of Washington 컴퓨터 공학 박사 (2016)

- Naver, Software Engineer, 2007-2010

- KAIST, 전산학 학사 (2005), 석사 (2007)


Seungyeop Han is a member of technical staff at Rubrik, Inc. Rubrik is a 3.5 year old startup company

located at Palo Alto, California, and its main product is a data protection and management platform,

which has been adopted by many enterprise company. In the company, he has been working mainly for

the security team, to enhance security features of the product, and also contributing to solving

overall engineering issues.

Prior to joining Rubrik, he received Ph.D. in computer science and engineering from the University of

Washington, with his research on computer systems and networking. He has diverse interests in overall

computer science and has published papers in primere conferences including SIGCOMM, NSDI, ATC, Mobisys,

Security, CCS, NIPS, CVPR, Ubicomp, and CHI. More information is available in his website,