Welcome to
Artificial Intelligence &
Bigdata Analytics Laboratory (ANDlab)
Graduate School of Information
Yonsei University, Seoul, Republic of Korea
NOTICE: ANDlab in Yonsei University is now recruiting a couple of highly self-motivated graduate students and post-doctoral research fellows. Please contact Professor Beakcheol Jang (bjang@yonsei.ac.kr) for more information with your curriculum vitae and transcript.
연세대학교 ANDlab 연구실에서는 대학원생과 박사후 연구원을 모집하고 있습니다. 연구실 지원을 원하는 학생들은 장백철 교수님께 (bjang@yonsei.ac.kr) 성적표 이력서와 함께 연락주세요.
We have developed infectious disease surveillance system, which is currently available online at http://coronatomorrow.co.kr. ANDlab에서 COVID19 예측 시스템을 개발했습니다. 오른쪽의 로고를 누르시거나 http://coronatomorrow.co.kr 을 확인해 주세요.
Research Interests
Bigdata Analytics and Privacy
Artificial Intelligence, Deep Learning and Neural Networks
Natural Language Processing
Information Retrieval
Computer Networks and Applications
Recent Research Topics
Bigdata Analytics with Artificial Intelligence
Business Bigdata Analytics
Biomedical Bigdata Analytics
Web and Social Bigdata Analytics
Network Bigdata Analytics
Natural Language Processing with Artificial Intelligence
Vision Question and Answering
Language Model
Machine Translation
Word Embedding
Information Retrieval with Artificial Intelligence
Recommendation System
Time-series Forecasting-Heath and Stock Data with Artificial Intelligence
Data Privacy with Artificial Intelligence
Infectious Disease Surveillance System
Location Based Service and System
Recent News Summary
[September 2021] The paper, entitled A Survey of Differential Privacy-based Techniques and their Applicability to Location-Based Services, was accepted to Elsevier Computers & Security (IF 2020: 4.438).
[August 2021] The paper, entitled Long-term influenza outbreak forecast using time-precedence correlation of web data, was accepted to IEEE Transactions on Neural Networks and Learning Systems (IF 2020: 10.451).
[June 2021] The paper, entitled A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data, was published in Elsevier Journal of Biomedical Informatics (IF 2020: 6.317).
[May 2021] The paper, entitled Reliability check via weight similarity in privacy-preserving multi-party machine learning, was accepted to Elsevier Information Sciences (IF 2020: 6.759).
[October 2020] The paper, entitled Collaborative ehealth privacy and security: An access control with attribute revocation based on OBDD access structure, was published in IEEE Journal of Biomedical Health Informatics (IF 2020: 5.722).
[February 2019] The paper, entitled Indoor positioning technologies without offline fingerprinting map: a survey, was published in IEEE Communications Surveys and Tutorials (IF 2020: 25.249).