Chih-Jen Lin

{{Infobox scientist

| name = Chih-Jen Lin

| native_name = 林智仁

| native_name_lang = zh

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| fields = machine learning
data mining
optimization

| workplaces = National Taiwan University

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| education = National Taiwan University (BS)
University of Michigan (MS, PhD)

| thesis_title = Studies in large-scale optimization

| thesis_url = https://deepblue.lib.umich.edu/handle/2027.42/131260

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| known_for = LIBSVM

| awards = ACM Fellow (2015)
AAAI Fellow (2014)
IEEE Fellow (2011)

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| website = {{URL|https://www.csie.ntu.edu.tw/~cjlin/}}

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{{family name hatnote|Lin|lang=Chinese}}

Chih-Jen Lin ({{zh|c=林智仁|p=Lín Zhìrén}}) is Distinguished Professor of Computer Science at National Taiwan University, and a leading researcher in machine learning, optimization, and data mining. He is best known for the open-source library LIBSVM, an implementation of support vector machines.{{cite journal |last1=Chang |first1=Chih-Chung |last2=Lin |first2=Chih-Jen |title=LIBSVM: A library for support vector machines |journal=ACM Transactions on Intelligent Systems and Technology |volume=2 |issue=3 |year=2011|doi=10.1145/1961189.1961199 |s2cid=961425 }}

Biography

Chih-Jen Lin received his B.S. (1993) in mathematics at National Taiwan University, and M.S.E. (1996) and Ph.D. (1998) in computer science at the University of Michigan.

Awards and honors

  • ACM Fellow (2015)[http://awards.acm.org/award_winners/lin_cl37276.cfm CHIH-JEN LIN ACM Fellows 2015]

: For contributions to the theory and practice of machine learning and data mining.

  • AAAI Fellow (2014)[http://www.aaai.org/Awards/fellows-list.php AAAI Fellows Elected in 2014, Chih-Jen Lin, National Taiwan University]

: For significant contributions to the field of machine learning, and the development of a widely used SVM software.

  • IEEE Fellow (2011)

: For contributions to support vector machine algorithms and software.

Selected works

=Software=

=Articles=

  • {{cite journal |last1=Chang |first1=Chih-Chung |last2=Lin |first2=Chih-Jen |title=LIBSVM: A library for support vector machines |journal=ACM Transactions on Intelligent Systems and Technology |volume=2 |issue=3 |year=2011 |doi=10.1145/1961189.1961199 |s2cid=961425 }}

References

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