Please note some of my pages do not reflect recent works at Google
I pursue research in various fields of machine learning in particular natural language processing, sequential prediction, matrix factorization, and collaborative filtering. I focus on obtaining a concise and effective representations while exploiting domain knowledge and sequential nature of data.
I joined Google Research as a Software Engineer focusing on on-device machine learning. I recently finished my Computer Science PhD at Georgia Tech under the supervision of Professor. Guy Lebanon and Professor. Haesun Park. I received bachelor's degree in Computer Science and Engineering from Seoul National University in 2009 and master's degree in Computer Science at Georgia Tech.
- 10/11/2017: I had an invited talk at Seoul National University (Machine Learning - 4190.666, class website)
- 10/1/2017: I published an introductory machine learning book in Korean : 처음 배우는 머신러닝 (Your First Machine Learning Book)
- 10/01/2017: ConceptVector: Text Visual Analytics via Interactive Lexicon Building using Word Embedding is accepted and published to TVCG! (details).
- 04/17/2016: Finally my co-authored JMLR paper is published (details)
- 09/28/2015: Joined Google Research as a Software Engineer
- 05/28/2015: Successfully defended PhD thesis
- 11/09/2014: Both of my papers are accepted in AAAI 2015! Estimating Temporal Dynamics of Human Emotions and Local Context Sparse Coding (details)
- 07/29/2014: Fast Spammer Detection Using Structural Rank now in arXiv (details).
- 04/11/2014: We won WWW 2014 student best paper! (details).
- 12/28/2013: Local Collaborative Ranking was accepted on WWW2014. (details).
- 08/12/2013: Successfully proposed my thesis: Novel Document Representations based on Labels and Sequential Information