Dr. Wei Gao

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Scientist
Social Computing
+(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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Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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MIT/QCRI system uses machine learning to build road maps

22/04/2018

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 ...

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Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

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Upcoming Events

Past Events

2018

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QCRI Summer Internship Program

Download ICS File 06/05/2018  - 05/07/2018 , Hamad Bin Khalifa Research Complex

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.

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Regina

Public Talk by Prof. Regina Barzilay "Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text"

Download ICS File 27/03/2018 ,

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 ...

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QCRI & MIT-CSAIL Annual Project Review 2018

Download ICS File 27/03/2018 ,

Executive Overview Sessions Open to public Date:    Tuesday, March 27, 2018 Time:    9:00AM – 3:00PM Venue:  HBKU Research Complex Multipurpose Room To view full agenda, please click here . To RSVP, ...

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News Releases

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MIT-CSAIL hosts annual meeting highlighting collaboration with QCRI

14/10/2018

QCRI scientists travel to MIT-CSAIL campus in Boston to update research projects.

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The drivers behind our new Qatar Center for Artificial Intelligence (QCAI)

03/10/2018

QCRI's Executive Director Dr. Ahmed Elmagarmid explains why we have created a new AI hub in Qatar.

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Using AI to ramp up Qatar’s food security

01/10/2018

Workshop to discuss using AI to build robust supply chains.

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