Welcome to
Artificial Intelligence
Natural Language Processing &
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.
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
Language Model
Vision Question and Answering
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 Publications
[January 2024] The paper, entitled A survey on multimodal bidirectional machine learning translation of image and natural language processing, was published in Expert Systems with Applications (IF 2022: 8.5).
[May 2023] The paper, entitled Long-term influenza outbreak forecast using time-precedence correlation of web data, was published in IEEE Transactions on Neural Networks and Learning Systems (IF 2021: 14.255).
[January 2023] The paper, entitled Survey of landmark-based indoor positioning technologies, was published in Information Fusion (IF 2021: 17.564).
[July 2022] The paper, entitled Deep similarity analysis and forecasting of actual outbreak of major infectious diseases using Internet-sourced data, was accepted to Journal of Biomedical Informatics (IF 2021: 8.0).
[June 2022] The paper, entitled Deep learning-based privacy-preserving framework for synthetic trajectory generation, was accepted to Journal of Network and Computer Applications (IF 2021: 7.574).
[April 2022] The paper, entitled Privacy-preserving mechanisms for location privacy in mobile crowdsensing: a survey, was published in Journal of Network and Computer Applications (IF 2021: 7.574).
[October 2021] The paper, entitled Reliability check via weight similarity in privacy-preserving multi-party machine learning, was published in Information Sciences (IF 2021: 8.233).
[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 Journal of Biomedical Informatics (IF 2021: 8.0).
[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 2021: 7.021).
[February 2019] The paper, entitled Indoor positioning technologies without offline fingerprinting map: a survey, was published in IEEE Communications Surveys and Tutorials (IF 2021: 33.840).