Dr. Jun Wang's Home Page

Dr. Jun Wang

Senior Lecturer (Associate Professor)

Department of  Computer Science

University College London

Research Interests

My research focus is on the areas of information retrieval, data mining, multimedia content analysis, and statistical pattern recognition; current research covers both theoretical and practical aspects:

• portfolio theory and statistical modeling of information retrieval,
• data mining and collaborative filtering (recommendation),
• web economy and online advertising,
• user-centric information seeking,
• social, “the wisdom of crowds”, approaches for content understanding, organisation, and retrieval,
• peer-to-peer information retrieval and filtering, and
• multimedia content analysis, indexing and retrieval.

Recent Activities

• CIKM 2011 Tutorial: Statistical Information Retrieval Modelling: From Probability Ranking Principle to recent advances in diversity, Portfolio Theory, and beyond
• Co-organizer: DiveRS 2011 – International Workshop on Novelty and Diversity in Recommender Systems
• ECIR2011 Tutorial: Risk Management in Information Retrieval
• Co-organizer: DDR-2011: Diversity in Document Retrieval
• Senior PC ACM CIKM 2011, 2012
• PC ACM WSDM 2013
• PC  ACM Recommender Systems 2012 2011 2010 2009
• PC ACM SIGIR 2012, 2010, 2009, 2008, 2007
• Editorial Board Member of ACM SIGMM Records, 2008 -2010
• Co-organizer: International workshop: Complex Networks meet Information & Knowledge Management(CNIKM) 2009

Selected Awards

• Best Paper Prize, ECIR2012
• Best Paper Prize, ECIR2009
• “Beyond Search – Semantic Computing and Internet Economics“, Microsoft 2007
• Best Doctoral Consortium award,  ACM SIGIR06

Biographical Sketch

Jun Wang is Senior Lecturer in University College London. His main research interests are in the areas of information retrieval and intelligent multimedia systems. His research has been dedicated to building an Intelligent (text and non-textual media) System that can access, retrieve, change and design the media content and its representation in such a way that it is adaptive to the environment and context, and suitable for an individual person. To achieve the goal, Dr. Wang has studied statistical modelling of information retrieval, social “the wisdom of crowds” approaches for content understanding and access (collaborative filtering (recommendation)), peer-to-peer information retrieval and filtering, and, multimedia content analysis. Recently, he has developed an interest in “Web Economy” where he intends to unify information retrieval and economic models for Web ecosystems.

Dr. Wang has published over 50 research papers in leading journals and conference proceedings including ACM Trans.on Information Systems, IEEE Trans. on Multimedia, ACM Multimedia System Journal, ACM SIGMM, ACM SIGIR. He was a recipient of the Beyond Search – Semantic Computing and Internet Economics award sponsored by Microsoft Research, USA in 2007; he also received the Best Doctoral Consortium award in ACM SIGIR06 for his work on collaborative filtering, and the Best Paper Prize in ECIR09 for his work on applying Modern Portfolio Theory of Finance (Mean-variance Analysis) to document ranking in Information Retrieval.

Dr. Wang obtained his PhD degree in Delft University of Technology, the Netherlands; MSc degree in National University of Singapore, Singapore; and Bachelor degree in Southeast University, Nanjing, China.