Research Statement
My research interests are in machine learning and natural language processing. In particular, I work in probabilistic Bayesian topic models and artificial neural networks to discover latent patterns such as user preferences and intentions in unannotated data such as conversational corpora.
I am on the job market. Please contact me if you are interested.
Education
- KAIST, Ph.D., School of Computing, Mar 2013 - Aug 2020
- Dissertation: Speaker oriented Conversation Model and its Evaluation
- Dissertation committee: Prof. Alice Oh, Dr. Chin-Yew Lin, Prof. Kee-Eung Kim, Prof. Meeyoung Cha, and Prof. Sung-Hyon Myaeng
- KAIST, M.S., Computer Science, Feb 2011 - Feb 2013
- GPA: 3.98/4.30
- Thesis: Distributed Online Learning for Topic Models [PDF]
- Thesis committee: Prof. Alice Oh, Prof. Sung-Eui Yoon, and Prof. Sung-Hyon Myaeng
- Sungkyunkwan University, B.S., Computer Engineering, Mar 2004 - Feb 2011
- GPA: 4.45/4.50
Publications
-
Speaker Sensitive Response Evaluation Model
JinYeong Bak and Alice Oh.
[ACL] In Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2020.
[PDF] [Code] [Lay Summary] -
Variational Hierarchical User-based Conversation Model
JinYeong Bak and Alice Oh.
[EMNLP] In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, 2019.
[PDF] [Code] -
Conversational decision-making model for predicting the kings decision in the annals of the Joseon dynasty
JinYeong Bak and Alice Oh.
[EMNLP] In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018.
[PDF] [Code and Data] -
Speech Emotion Classification using Raw Audio Input and Transcriptions
Gabriel Lima and JinYeong Bak.
[SPML] In Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018
[PDF] -
Rotated word vector representations and their interpretability
Sungjoon Park, JinYeong Bak, and Alice Oh.
[EMNLP] In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017.
[PDF] [Code] -
Itchtector: A wearable-based mobile system for managing itching conditions
Jongin Lee, Daeki Cho, Junhong Kim, Eunji Im, JinYeong Bak, Kwan Hong Lee, John Kim
[CHI] In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
[PDF] -
Keyword expansion for understanding crisis events in indonesian tweets
JinYeong Bak Imaduddin Amin, Jong Gun Lee, and Alice Oh.
In ICML Workshop on Interactive MachineLearning and Semantic Information Retrieval, 2017
[PDF] [Poster] -
Five centuries of monarchy in korea: Mining the text of the annals of the joseon dynasty
JinYeong Bak and Alice Oh.
[LaTeCH] In Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, 2015
[PDF] -
Self-disclosure topic model for classifying and analyzing twitter conversations
JinYeong Bak, Chin-Yew Lin, and Alice Oh.
[EMNLP] In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014.
[PDF] [Code and Data] -
Distributed online learning for latent dirichlet allocation
JinYeong Bak, Dongwoo Kim, and Alice Oh.
In Proceedings of Workshop on Big Learning : Algorithms, Systems, and Tools at the Neural Information Processing Systems, 2012
[PDF] [Supplementary] [Code] -
Self-disclosure and relationship strength in twitter conversations
JinYeong Bak, Suin Kim, and Alice Oh.
[ACL] In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012.
[PDF] -
Do you feel what I feel? social aspects of emotions in twitter conversations
Suin Kim, JinYeong Bak, and Alice Oh.
[ICWSM] In Proceedings of the AAAI International Conference on Weblogs and Social Media, 2012.
[PDF] [4-Page Poster] [Poster for 4-page paper] -
Development of Mobile Sage-math and its use in Linear Algebra
Rae Young Ko, Duk Sun Kim, JinYeong Bak, and Sang Gu Lee.
In J. Korea Soc. Math. Ed. Ser. E: Communications of Mathematical Education, 2009.
[PDF] -
The educational models using enhanced mathematics ICT in the Korean IT environments
Duk Sun Kim, JinYeong Bak, and Sang Gu Lee.
In J. Korea Soc. Math. Ed. Ser. E: Communications of Mathematical Education, 2008.
[PDF]
Employment
- Junior Data Scientist, United Nations Global Pulse Lab Jakarta, Jakarta, Indonesia, June 2016 - Aug 2016
I interned with Jonggun Lee in the United Nations Global Pulse Lab Jakarta. I developed a topic model based methodology for expanding relevant keywords for specific subjects to identify related tweets in Twitter. This work is published at ICML 2017 workshop. - Research Intern, Microsoft Research Asia, Beijing, China, Sep 2013 - Feb 2014
I interned with Chin-Yew Lin in the Knowledge Mining group at Microsoft Research Asia. I developed a topic model to identify self-disclosure in Twitter conversations. This work is published at EMNLP 2014 as a full paper.
Reviewer and Program Committee
- [AAAI] 2020
- [AACL] 2020
- [ACL] 2015, 2016, 2017, 2018, 2019, 2020
- [ACML] 2016
- [COLING] 2020
- [EACL] 2016
- [EMNLP] 2015, 2016, 2019, 2020
- [ICML] 2020
- [ICWSM] 2015, 2016
- [JOK]
- [LaTeCH-CLfL] 2016, 2017, 2018, 2019, 2020
- [NAACL] 2019
- [TACL]
- [The Web Conference] 2019, 2020
Academic Services
- Student volunteer, ACL 2012, EMNLP 2018, EMNLP 2019, ICLR 2020
- Mentor of group mentoring, ACL 2020
- Volunteer of birds of a feather meetup, ACL 2020
- Volunteer of micro-blogging, ACL 2020
Projects
- "Explainable Human-level Deep Machine Learning", Korean Government, Sep 2017 - Present
I develop the explainable human-level Bayesian and deep learning algorithms. - "Machine Learning Center", Korean Government, Mar 2013 - June 2017
I developed online learning algorithms for topic models on Apache Spark. - "Distributed online topic modeling for big data analysis", Samsung Electronics, Dec 2012 - Nov 2013
I developed online learning algorithms on Hadoop and implemented it in Java and Python.
Teaching Experience
- Lecturer, "Artificial intelligence for data scientists", elice, Apr 2017 - Aug 2017, Jun 2018 - Sep 2018
- Teaching assistant, "Artificial intelligence and machine learning", KAIST, Fall 2011, Spring 2013, Spring 2015, Fall 2018
- Teaching assistant, "Introduction to programming", KAIST, Spring/Fall 2014, Fall 2015, Spring/Fall 2016, Spring/Fall 2017
- Teaching assistant, "IT Convergence User-Centered Service Design", KAIST, Spring 2015
Talks
- "Speaker-oriented Conversation Model and its Evaluation", Machine Learning for Language at NYU, Online (zoom), 2020.06.16.
- "Variational Hierarchical User-based Conversation Model", KAIST-NAVER Clova AI Workshop, Daejeon, South Korea, 2019.06.19.
- "Conversational decision-making model for predicting the kings decision in the annals of the Joseon dynasty", NAVER, Seongnam, South Korea, 2018.12.14.
- "Conversational decision-making model for predicting the kings decision in the annals of the Joseon dynasty and Word vector Interpretability", Samsung Electronics, Suwon, South Korea, 2018.11.30.
- "Self-disclosure in Twitter conversations", Qatar Computing Research Institute, Doha, Qatar, 2014.10.23.
- "Bayesian Nonparametric Topic Modeling", Korean machine learning summer school, Seoul, South Korea, 2013.08.22.
Extracurricular Activities
- Students representative of Department of Computer Science in student council, KAIST, 2014
- Member and representative, Linux & Open-source learned club (SKKULUG), Sungkyunkwan University, 2004 - 2010
- Social service personnel, Banyeo library, Busan, South Korea, May 2005 - July 2007
References
- Prof. Alice Haeyun Oh, School of Computing, KAIST, alice.oh@kaist.edu
- Dr. Chin-Yew Lin, Knowledge Mining Group, Microsoft Research Asia, cyl@microsoft.com
- Dr. Jonggun Lee, United Nations Development Programme, jonggunlee@gmail.com
- Prof. Sang-Gu Lee, Department of Mathematics, Sungkyunkwan University, sglee@skku.edu