Our research focuses on methodologies to efficiently collect and store large-scale data; to effectively discover, represent, and exploit new knowledge in practical applications. Those methodologies can help us to make effective decisions and intelligent services. The current directions are described below.
- Machine Learning:
Members: Khoat Than, Nguyen Kim Anh, Ngo Van Linh, Pham Van Hai, … - Deep Learning:
Members: Khoat Than, Ngo Van Linh, Tran Viet Trung, Nguyen Kiem Hieu, Nguyen Thi Oanh, … - Big Data:
Members: Nguyen Binh Minh, Tran Viet Trung, Khoat Than, Nguyen Huu Duc, … - Natural Language Processing:
Members: Le Thanh Huong, Nguyen Kiem Hieu, Nguyen Kim Anh, … - Internet of Things:
Members: Nguyen Binh Minh, Vu Tuyet Trinh, … - Computer Vision:
Members: Nguyen Thi Oanh, … - Information Retrieval:
Members: Nguyen Kim Anh, Vu Tuyet Trinh, Nguyen Kiem Hieu, Ngo Van Linh, Khoat Than, … - Recommender systems:
Members: Ngo Van Linh, Khoat Than, Nguyen Kim Anh, Le Thanh Huong, …
Our members actively serve as Organizers, Chairs, or Program-Committee members of many leading venues, including:
- ICML: International Conference on Machine Learning
- ICLR: International Conference on Learning Representations
- IJCAI: International Joint Conference on Artificial Intelligence
- NIPS: Annual Conference on Neural Information Processing Systems
- PAKDD: Pacific Asia Conference on Knowledge Discovery and Data Mining
- DASFAA: International Conference on Database Systems for Advanced Applications
- DSAA: International Conference on Data Science and Advanced Analytics
- ACML: Asian Conference on Machine Learning
- SOICT, RIVF, LREC, KSE, NICS, …
For more information: DSLab-introduction