Dr. Wei Gao

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Scientist
Arabic Language Technologies
+(974) 4454 1520

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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.

Research Focus at QCRI

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.

Previous Experience

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.

Professional Experience

  • The Chinese University of Hong Kong, Research Assistant Professor, August 2010-August 2011
  • Institute for Infocomm Research, A*STAR, Research Fellow, May 2010-August 2010

Professional Associations and Awards

Associations

  • Member of ACL
  • Member of ACM SIGIR

Patents

  • Wei Gao, Peng Li, and Kareem Darwish. Joint Topic Model for Cross-media News Summarization (PCT/EP2012/070505). Filed in October 2012.

Education

  • PhD, The Chinese University of Hong Kong, 2010
  • M. Phil, The Chinese University of Hong Kong, 2004

Selected Research

  • Peng Cai, Wei Gao, Aoying Zhou, and Kam-Fai Wong. Relevant Knowledge Helps in Choosing Right Teacher: Active Query Selection for Ranking Adaptation. In Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 2011. http://dl.acm.org/citation.cfm?id=2009916.2009935
  • Wei Gao, PengCai, Kam-Fai Wong, and Aoying Zhou. Learning to Rank Only Using Training Data from Related Domain. In Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 2010. http://dl.acm.org/citation.cfm?id=1835478
  • Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Kam-Fai Wong, and Hsiao-Wuen Hon. Exploiting Query Logs for Cross-Lingual Query Suggestions. ACM Transactions on Information Systems, Vol. 28, No.2, Article 6, May 2010. http://dl.acm.org/citation.cfm?id=1740594
  • Wei Gao, John Blitzer, Ming Zhou, and Kam-Fai Wong. Exploiting Bilingual Information to Improve (Monolingual) Web Search. In Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics, August 2009. http://www.aclweb.org/anthology-new/P/P09/P09-1121.pdf
  • Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Jian Hu, Kam-Fai Wong, and Hsiao-Wuen Hon. Cross-Lingual Query Suggestion Using Query Logs of Different Languages. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 2007. http://dl.acm.org/citation.cfm?id=1277821

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In the Media

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Upcoming Events

Past Events

2016

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Qatar Foundation Annual Research Conference 2016 (ARC'16)

Download ICS File 22/03/2016  - 23/03/2016 ,

The Qatar Foundation Annual Research Conference 2016 (ARC’16) will be held on 22nd and 23rd March,2016 at the Qatar National Convention Center. The conference aims to advance Qatar’s ambitious ...

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Coding is Cool 2016

Download ICS File 21/03/2016 , QNCC Room 215-217

Organized by Qatar Computing Research Institute and MIT-Computer Science and Artificial Intelligence Laboratory

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Self-Driving Cars Are Coming - Public Talk by Daniela Rus

Download ICS File 20/03/2016 , QNCC Room 215-217

Abstract: We spend a lot of time in out cars, yet this is a part of our lives where we have been vulnerable to the world's leading cause of bodily harm. Now, the digitization of practically ...

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News Releases

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