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Bio
His major research areas include machine learning, data mining, and numerical optimization. He is best known for his work on support vector machines (SVM) for data classification. His software LIBSVM is one of the most widely used and cited SVM packages. For his research work he has received many awards, including the ACM KDD 2010 and ACM RecSys 2013 best paper awards. He is an IEEE fellow, a AAAI fellow, and an ACM fellow for his contribution to machine learning algorithms and software design.
Research Interests
Papers共 226 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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Zhongyi Que,Chih-Jen Lin
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMSno. 99 (2024): 1-13
SIGIRpp.2-2, (2023)
Thanh-Tung Nguyen,Viktor Schlegel,Abhinav Kashyap,Stefan Winkler, Shao-Syuan Huang,Jie-Jyun Liu,Chih-Jen Lin
CoRR (2023)
Yu-Jen Lin,Chih-Jen Lin
PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023pp.1441-1450, (2023)
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