Intelligent Data System Laboratory.
서울대학교 지능형 데이터 시스템 연구실
Department of Computer Science & Engineering, Seoul National University, Korea, since 1992.
Research in the Intelligent Data Systems laboratory, supervised by professor Sang-goo Lee, focuses on the areas of data mining, data processing, information retrieval, recommendation, natural language processing and deep learning.
Researches in IDS Lab.
Over the years, the IDS lab. has been involved in research activities in the fields of computer science and information technology.
Our recent research areas are as follows:
- 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
- Deep Semantic Hashing Using Pairwise Labels
Richeng Xuan, Junho Shim, Sang-goo Lee
IEEE Access, Volume 9, pp. 91934 - 91949, 2021
- Contrastive Learning for Unsupervised Image-to-Image Translation
Hanbit Lee, Jinseok Seol, Sang-goo Lee
arXiv:2105.03117 [cs.CV], 2021
- Masked Contrastive Learning for Anomaly Detection
Hyunsoo Cho, Jinseok Seol, Sang-goo Lee
The 30th International Joint Conference on Artificial Intelligence (IJCAI-21), 2021
- Heads-up! Unsupervised Constituency Parsing via Self-Attention Heads
Bowen Li, Taeuk Kim, Reinald Kim Amplayo, Frank Keller
The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-ICJNLP 2020), 2020
For complete publication list, visit Publications page.
Application to IDS Lab.
IDS Lab seeks fresh and energetic students!
Contact us via 02-880-5517 or chief at europa.snu.ac.kr for lab application info.