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:
Recent Publications
- Variational Deep Semantic Text Hashing with Pairwise Labels
Richeng Xuan, Junho Shim, Sang-goo Lee
IMCOM 2019 (Honorable paper award), 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, 2019 - SisterNetwork: Enhancing Robustness of Multi-label Classification with Semantically Segmented Images
Holim Lim, Jeeseung Han, Sang-goo Lee
IMCOM 2019, 2019 - Fashion Attributes-to-Image Synthesis Using Attention-based Generative Adversarial Network
Hanbit Lee, Sang-goo Lee
WACV 2019, 2019 - Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations
Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, Sang-goo Lee
Thirty-Third AAAI Confernce on Artificial Intelligence (AAAI 2019), 2019
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.