Rexplore Graph

The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.

Showing all 4 Publications linked to Qiang Huang

Qiang Huang Member status icon

Research Fellow
Qiang Huang Photograph

I started my work as a Research Fellow on the Project LUPMIR at KMi in November 2006. My work was focused on language modeling with integrating context information into one framework for document retrieval. My research interests included language modeling, machine learning, signal processing, and natural langauge processing.

Keys: Language Modeling, Machine Learning, Information Retrieval


 

Song, D., Huang, Q., Rueger, S. and Bruza, P. (2008) Facilitating Query Decomposition in Query Language Modeling by Association Rule Mining Using Multiple Sliding Windows, Accepted by the 30th European Conference on Information Retrieval (ECIR’2008), Glasgow, UK


 

Huang, Q., Song, D. and Rueger, S. (2008) Robust Query-specific Pseudo Feedback Document Selection for Query Expansion, Accepted by the 30th European Conference on Information Retrieval (ECIR’2008), Glasgow, UK


 

Huang, Q., Song, D., Rueger, S. and Bruza, P. (2007) Learning and Optimization of an Aspect Hidden Markov Model for Query Language Model Generation, The 1st International Conference on the Theory of Information Retrieval (ICTIR’2007), pp. 157-164


 

Lau, R., Chung, A., Song, D. and Huang, Q. (2007) Towards Fuzzy Domain Ontology Based Concept Map Generation, The 6th International Conference on Web-based Learning


View By

Toggle Topic Display

Other Publications

Seasonings Greetings from KMi

#kmiou on Bluesky

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team