QCRI is a brand-new research institute committing to world-class research in my area of expertise, which offers me unprecedented opportunities to embrace exciting challenges.
Wei works in the areas of information retrieval, natural language processing and Web data mining. His research focus in QCRI includes cross-lingual and multilingual issues in Web search, search ranking adaptation between different domains, NLP on social media or spanning heterogeneous media streams, sentiment analysis and social web dynamics.
Prior to joining QCRI, Wei received his Ph.D. in Information Systems from the Chinese University of Hong Kong in 2010 and was affiliated with the same university as a research assistant professor from August 2010 to August 2011. He was a research fellow in the Institute for Infocomm Research (I2R) at the Agency for Science, Technology and Research (A*STAR) in Singapore from May to August 2010. Early on he was an intern at Microsoft Research Asia (with Natural Language Computing Group) during 2006-2008.
Zhongyu Wei and Wei Gao. Utilizing Microblogs for Automatic News Highlights Extraction. In Proceedings of the 25th International Conference on Computational Linguistics (COLING), Dublin, Ireland, August 2014.
In the Media
Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...
Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.
Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text A talk by Professor Regina Barzilay, MIT CSAIL Winner of 2017 MacArthur ‘genius grant’ At Education City Student ...
Tech fun and robotics computing activities will be available to children attending the annual family celebration from December 12 to 20.
Urban computing experts from Europe, the US and Qatar are to discuss state-of-the-art advances in artificial intelligence for transportation with local stakeholders.
Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.