Liang Kong

Affiliations:
  • Peking University, Beijing, China


According to our database1, Liang Kong authored at least 11 papers between 2009 and 2013.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2013
A cross-media evolutionary timeline generation framework based on iterative recommendation.
Proceedings of the International Conference on Multimedia Retrieval, 2013

2012
A picture paints a thousand words: a method of generating image-text timelines.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Ranking news events by influence decay and information fusion for media and users.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
A finegrained digestion of news webpages through Event Snippet Extraction.
Proceedings of the 20th International Conference on World Wide Web, 2011

Mining Event Temporal Boundaries from News Corpora through Evolution Phase Discovery.
Proceedings of the Web-Age Information Management - 12th International Conference, 2011

Evolutionary timeline summarization: a balanced optimization framework via iterative substitution.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

CDW: A text clustering model for diverse versions discovery.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Timeline Generation through Evolutionary Trans-Temporal Summarization.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

DVD: A Model for Event Diversified Versions Discovery.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

2009
Describing Web Topics Meticulously through Word Graph Analysis.
Proceedings of the Ninth IEEE International Conference on Computer and Information Technology, 2009

Web Forum Sentiment Analysis Based on Topics.
Proceedings of the Ninth IEEE International Conference on Computer and Information Technology, 2009


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