Huawei Noah's Ark LabThe Noah’s Ark Lab is the AI research center for Huawei Technologies, located in Hong Kong, Shenzhen, Beijing, Shanghai, Xi’an, London, Paris, Toronto, Montreal, Edmonton, etc.
The mission of the lab is to make significant contributions to both the company and society by innovating in artificial intelligence, data mining and related fields. Mainly driven by long term and big impact projects, research in the lab also tries to advance the state of the art in the fields as well as to harness the products and services of the company, at each stage of the innovation process.
As a world class research lab, we are pushing the frontier of research and development in all areas that we work in.We dare to address both the challenges and opportunities in this era of AI and big data, to revolutionize the ways in which people work and live, and the ways in which companies do business, through intelligentization of all processes, with the slogan 'from big data to deep knowledge'.
Research areas of the lab mainly include computer vision, natural language processing, search & recommendation, decision and reasoning ,AI theory.
Founded in 2012, the lab has now grown to be a research organization with many significant achievements in both academia and industry. We welcome talented researchers and engineers to join us to realize their dreams.
national conference on artificial intelligence, (2020)
A lot of efforts have been devoted to investigating how agents can learn effectively and achieve coordination in multiagent systems. However, it is still challenging in large-scale multiagent settings due to the complex dynamics between the environment and agents and the explos...
Local user-adaptation with a data regularization approach based on adaptive Batch Normalization, and especially its supervised variant, seem more promising, leading to systematic improvements when taking advantage of labeled user-specific data
IEEE Transactions on Mobile Computing, pp.1-1, (2020)
Telecommunication (Telco) outdoor position recovery aims to localize outdoor mobile devices by leveraging measurement report (MR) data. Unfortunately, Telco position recovery requires sufficient amount of MR samples across different areas and suffers from high data collection c...
Moral-Benito already pointed out the concern, “From a pure empirical viewpoint, model uncertainty represents a concern because estimates may well depend on the particular model considered.” combining multiple models to reduce the model uncertainty is very desirable