Focusing on Machine Learning, Computer Vision, and Natural Language Processing, our research aims to address fundamental problems in these areas and develop practical methods that enable impactful applications. As part of the Vingroup ecosystem, we are well-positioned to be at the forefront of the digitalization of customer experience via AI-based systems that can understand natural human interactions through voices, gestures, behaviors, or from smart sensors and devices. Due to our unique location we are also naturally drawn towards problems for developing countries, which might otherwise be overlooked in the research community.
Focusing on Machine Learning, Computer Vision, and Natural Language Processing, our research aims to address fundamental problems in these areas and develop practical methods that enable impactful applications. As part of the Vingroup ecosystem, we are well-positioned to be at the forefront of the digitalization of customer experience via AI-based systems that can understand natural human interactions through voices, gestures, behaviors, or from smart sensors and devices. Due to our unique location we are also naturally drawn towards problems for developing countries, which might otherwise be overlooked in the research community.
Focusing on Machine Learning, Computer Vision, and Natural Language Processing, our research aims to address fundamental problems in these areas and develop practical methods that enable impactful applications. As part of the Vingroup ecosystem, we are well-positioned to be at the forefront of the digitalization of customer experience via AI-based systems that can understand natural human interactions through voices, gestures, behaviors, or from smart sensors and devices. Due to our unique location we are also naturally drawn towards problems for developing countries, which might otherwise be overlooked in the research community.
Introduction The central question of transfer learning from one domain to another domain is how coul(...)
26/05/2022
Introduction Machine learning models are ubiquitous in our daily lives and supporting the decision-m(...)
23/05/2022
Introduction Machine learning models, thanks to their superior predictive performance, are blooming (...)
18/05/2022
Introduction Deep learning has become a revolution with many tremendous successes impacting comprehe(...)
29/03/2022
Introduction Cross-Lingual Summarization (CLS) is the task of condensing a document of one language (...)
14/02/2022
Introduction Understanding events entails recognizing the structural and temporal orders between eve(...)
07/01/2022
Introduction With the advance of deep learning, many visual recognition tasks such as image classifi(...)
27/12/2021
Introduction Event detection (ED) is an important component in the overall event extraction pipeline(...)
22/12/2021
Motivation Vietnam has achieved rapid economic growth in the last two decades. It is now an attracti(...)
20/12/2021
Problem This paper aims to propose a novel method to tackle the domain-shift problem in a domain gen(...)
12/12/2021
Introduction An autoencoder is a neural network that is trained to attempt to reconstruct its input.(...)
24/11/2021
Optimal Transport (OT) has recently become a useful tool in many machine learning and deep learning (...)
23/11/2021