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.

• 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

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.

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

• 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.

• Pei Yang and Wei Gao. Information-Theoretic Multi-view Domain Adaptation: A Theoretical and Empirical Study. Journal of Artificial Intelligence Research (JAIR), Volume 49, pages 501-525, March 2014.
• Wei Gao and Pei Yang. Democracy is Good for Ranking: Towards Multi-view Rank Learning and Adaptation in Web Search. In Proceedings of the 7th ACM International Conference on Web Search and Data Mining (WSDM), New York City, USA, February 2014. http://dl.acm.org/citation.cfm?doid=2556195.2556267
• Yulan He, Chenghua Lin, Wei Gao, and Kam-Fai Wong. Dynamic Joint Sentiment-Topic Model. ACM Transactions on Intelligent Systems and Technology (TIST), Special Issue on Social Web Mining, Volume 5, Issue 1, Article 6, December 2013.
• Wei Gao, Peng Li, and Kareem Darwish. Joint Topic Modeling for Event Summarization across News and Social Media Streams. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management, Maui, Hawaii, USA, October 2012. http://dl.acm.org/citation.cfm?doid=2396761.2398417

• 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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