Hyunsoo Cho - IDS Lab.

Alumni (Ph.D.)

Name 조현수
Entry 2016.09
Graduation 2023.02
Affiliation

Education

2019.03 - 2023.02 Ph.D in Computer Science and Engineering, Seoul National University, Seoul, Korea
2016.09 - 2018.08 M.S in Computer Science and Engineering, Seoul National University, Seoul, Korea
2012.03 - 2016.08 B.S. in Computer Science and Engineering, Chung-ang University, Seoul, Korea

Research Interest

Machine Learning

Anomaly Detection, Distributional Shift, Self-Supervised Learning, Unsupervised Learning

Natural Language Processing

Large-scale Pre-trained Language Model, Prompt Engineering, Parameter-efficient Transfer Learning, In-Context Learning, Natural Language Understanding

Experience

Research Experience

Enhancing Natural Language Understanding via Pre-trained Language Models - Project Manager, 2021.04 - Current
An Advanced Study of QA Technologies for Intelligent Assistant System - Project Manager, 2020.03 - 2021.02
Text and Sentiment Analysis for Fashion Trend Analysis - Project Manager, 2019.07 - 2020.06

Work Experience

Research Intern at Naver Corp. Apr. 2022 — Aug. 2022

Miscellaneous

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(Last update : 2022/11/23)

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
CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels
Hyunsoo Cho, Youna Kim, Sang-goo Lee
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 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
Masked Contrastive Learning for Anomaly Detection
Hyunsoo Cho, Jinseok Seol, Sang-goo Lee
The 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2021
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
Automatic Generation of Multiple-Choice Fill-in-the-blank Question Using Document Embedding
Junghyuk Park, Hyunsoo Cho, Sang-goo Lee
The 19th International Conference on Artificial Intelligence in Education (AIED 2018), pp. 261-265, 2018
FastText를 적용한 한국어 단어 임베딩
조현수, 이상구
한국소프트웨어종합학술대회 (KSC 2017), 2017