Research

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