Kang Min Yoo

유강민

Alumni (Ph.D.)

Name 유강민
Entry 2014.03
Graduation 2020.02
Affiliation

For job offers, contact me at kangmin.yoo@gmail.com.

Meanwhile, you can check out my resume at Linkedin Profile.

Education

Integrated M.S./Ph.D. in Computer Science & Engineering @ Seoul National University (2014 - 2020)
B.S. in Computer Science & Engineering @ Seoul National University (2009 - 2013)

Research Interests

Natural Language Processing: Language Understanding, Language Generation, Dialogue Modeling, Word Representations, Sentence Representations
Machine Learning/Deep Learning: Data Augmentation, Generative Models, Multi-task Learning, Multi-modal Learning, Incremental Learning, Reasoning Networks

Experience

Spoken Language Understanding for Automobiles - Researcher, Project Manager (2017 - present)
Analysis in Electronic Health Records (EHR) of Diabetes Patients - Reseacher (2014 - 2015)

Publications

Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
Findings of 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
Hyunsoo Cho, Choonghyun Park, Jun Yeob Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee
The 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), 2023
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners
Hyunsoo Cho, Hyuhng Joon Kim, Jun Yeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee
Findings of the Association for Computational Linguistics (Findings of EMNLP 2022), 2022
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator
Hyuhng Joon Kim, Hyunsoo Cho, Jun Yeob Kim, Taeuk Kim, Kang Min Yoo, Sang-goo Lee
Workshop on Large-scale Pre-trained Language Models 2022 (NAACL Workshop), 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Kang Min Yoo, Jun Yeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Taeuk Kim
2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022
Self-Guided Contrastive Learning for BERT Sentence Representations
Taeuk Kim, Kang Min Yoo, Sang-goo Lee
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), 2021
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation
Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee
2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), 2020
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
Kang Min Yoo*, Taeuk Kim*, Sang-goo Lee
2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), 2019
Stochastic Relational Network
Kang Min Yoo, Hyunsoo Cho, Hanbit Lee, Jeeseung Han, Sang-goo Lee
The 1st Workshop on Statistical Deep Learning in Computer Vision 2019 (ICCV Workshop), 2019
Leveraging Class Hierarchy in Fashion Classification
Hyunsoo Cho, Chae Min Ahn, Kang Min Yoo, Jinseok Seol, Sang-goo Lee
The 2nd Workshop on Computer Vision for Fashion, Art and Design 2019 (ICCV Workshop), 2019
Utterance Generation With Variational Auto-Encoder for Slot Filling in Spoken Language Understanding
Youhyun Shin, Kang Min Yoo, Sang-goo Lee
IEEE Signal Processing Letters, Volume 26, Issue 3, pp. 505-509, 2019
Data Augmentation for Spoken Language Understanding via Joint Variational Generation
Kang Min Yoo, Youhyun Shin, Sang-goo Lee
Thirty-Third AAAI Confernce on Artificial Intelligence (AAAI 2019), 2019
Slot Filling with Delexicalized Sentence Generation
Youhyun Shin, Kang Min Yoo, Sang-goo Lee
Interspeech 2018, 2018
Learning to Compose Task-Specific Tree Structures
Jihun Choi, Kang Min Yoo, Sang-goo Lee
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), pp. 5094-5101, 2018
Improving Visually Grounded Sentence Representations with Self-Attention
Kang Min Yoo, Youhyun Shin, Sang-goo Lee
Visually-Grounded Interaction and Language (ViGIL) NIPS 2017 Workshop, 2017
RDB2Graph: A Generic Framework For Modeling Relational Databases As Graphs
Kang Min Yoo, Sungchan Park, Sang-goo Lee
4th Joint International Semantic Technology (JIST2014) conference, 2014
그래프 모델과 중심성 분석을 이용한 당뇨환자의 처방 및 검사결과의 상관관계 분석
유강민, 박성찬, 이수진, 유경상, 이상구
정보과학회 컴퓨팅의 실제 논문지, Volume 21, Issue 7, pp. 482-487, 2015
동북아시아 언어들에 대한 말뭉치 조사
김민준, 현일성, 신유현, 유강민, 박영기, 이상구
한국컴퓨터종합학술대회 (KCC 2015), 2015
그래프 모델을 이용한 당뇨환자의 처방 및 검사결과의 상관관계 분석
유강민, 박성찬, 이수진, 유경상, 이상구
한국 정보과학회 제41회 동계학술발표회, 2014