Bing Liu
Bing Liu is a data-mining and NLP researcher at UIC. He pursued a doctorate in AI at Edinburgh and earlier worked at the National University of Singapore. His shared research includes association-rule classification and sentiment analysis papers from 1998 and 2004. He later studied lifelong machine learning and coauthored a 2016 book with Zhiyuan Chen. He chaired SIGKDD from 2013 to 2017 and became an AAAI Fellow in 2016. His work spans opinions in language, data patterns and learning across tasks.
Timeline
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Education and early academic career
AI study and university research
Liu pursued a doctorate in AI at Edinburgh and earlier held a faculty position at the National University of Singapore.
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1998–2004
Classification and opinion mining
Liu coauthored important research contributions: a 1998 paper on association-rule classification and a 2004 paper on sentiment analysis. Both later received KDD test-of-time recognition. The research connects patterns in data with decisions and the identification of opinions expressed in text.
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2013–2016
Lifelong machine learning
Liu began work on lifelong learning in 2013 and coauthored a book with his student Zhiyuan Chen in 2016. He chaired SIGKDD from 2013 to 2017. His learning research studies how knowledge accumulated across tasks can support further work.
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2016
AAAI fellowship
AAAI elected Liu a Fellow in 2016. The fellowship recognized his work in data mining, sentiment analysis, opinion-spam detection and web mining.
Sources and credits
Photo: cs.uic.edu; creator not stated. License: Not stated by source. Source: cs.uic.edu. Cropped to a square and resized. Ask us to remove or replace this photo.