Chih-Jen Lin
Chih-Jen Lin | |
|---|---|
林智仁 | |
| Born | 1971 (age 54–55) |
| Education | National Taiwan University (BS) University of Michigan (MS, PhD) |
| Known for | LIBSVM |
| Awards | ACM Fellow (2015) AAAI Fellow (2014) IEEE Fellow (2011) |
| Scientific career | |
| Fields | machine learning data mining optimization |
| Workplaces | National Taiwan University |
| Thesis | Studies in large-scale optimization |
| Website | www |
Chih-Jen Lin (Chinese: 林智仁; pinyin: Lín Zhìrén) is a Taiwanese computer scientist who is a 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. With his students he also developed LIBLINEAR, a widely used library for large-scale linear classification.
Biography
Chih-Jen Lin earned a B.S. (1993) in mathematics at National Taiwan University, and an M.S.E. (1996) and a Ph.D. (1998) in Industrial and Operations Engineering at the University of Michigan.
Lin's machine-learning software has been adopted by industry, with his libraries used by Yahoo, Google, eBay, and Microsoft. He has held visiting research positions, as a visiting scientist at Yahoo! Research (2006–2007) and visiting professor at Google Research (2008), and as a visiting scholar at Alibaba in 2017.
Awards and honors
- ACM Fellow (2015), for contributions to the theory and practice of machine learning and data mining
- TECO Award (2015) in Electrical Engineering, Information and Communication Technology
- AAAI Fellow (2014), for contributions to machine learning and the development of widely used SVM software; he was the first researcher from Taiwan to be elected an AAAI Fellow
- Best Paper Award (2013), ACM Conference on Recommender Systems
- IEEE Fellow (2011), for contributions to support vector machine algorithms and software
- Best Paper Award (2010), ACM SIGKDD Conference
Selected works
Software
- LIBSVM implements the sequential minimal optimization algorithm for kernelized support vector machines. LIBSVM Homepage
- LIBLINEAR, a library for large-scale linear classification. LIBLINEAR Homepage
Articles
- Chang, Chih-Chung; Lin, Chih-Jen (2011). "LIBSVM: A library for support vector machines". ACM Transactions on Intelligent Systems and Technology. 2 (3). doi:10.1145/1961189.1961199. S2CID 961425.
References
- 1 2 "第22屆東元獎科技類得獎人：林智仁" [22nd TECO Award, Science and Technology category: Chih-Jen Lin] (PDF) (in Chinese). TECO Technology Foundation. Archived from the original (PDF) on 2022-10-09. Retrieved 2026-06-29.
- ↑ Chang, Chih-Chung; Lin, Chih-Jen (2011). "LIBSVM: A library for support vector machines". ACM Transactions on Intelligent Systems and Technology. 2 (3). doi:10.1145/1961189.1961199. S2CID 961425.
- ↑ Fan, Rong-En; Chang, Kai-Wei; Hsieh, Cho-Jui; Wang, Xiang-Rui; Lin, Chih-Jen (2008). "LIBLINEAR: A Library for Large Linear Classification". Journal of Machine Learning Research. 9: 1871–1874.
- 1 2 3 4 5 Bonissone, Piero P. (May 2011). "IEEE Fellows—Class of 2011". IEEE Computational Intelligence Magazine. Vol. 6, no. 2. IEEE. pp. 9–10. doi:10.1109/MCI.2011.940610. Retrieved 2026-06-29.
- ↑ Lin, Chih-Jen (1998). Studies in large-scale optimization (PhD). University of Michigan. ProQuest 304433761.
- ↑ "開發人人必用AI工具，還送「售後服務」 林智仁：影響力就是世界因你而不同" [Building AI tools everyone uses, with after-sales service too — Chih-Jen Lin: influence is making the world different because of you]. 天下雜誌 [CommonWealth Magazine] (in Chinese). Retrieved 2026-06-29.
- ↑ 吳昇 (2017-12-04). "台大資工的 AI 優秀學者統整！台灣的 AI 發展有他們才有無限潛力" [A roundup of NTU CSIE's outstanding AI scholars: Taiwan's AI has unlimited potential because of them]. TechOrange (in Chinese). Retrieved 2026-06-29.
- ↑ "Chih-Jen Lin – ACM Fellows 2015". Association for Computing Machinery. Retrieved 2026-06-29.
- ↑ AAAI Fellows Elected in 2014, Chih-Jen Lin, National Taiwan University
- ↑ "台大人工智慧幫，全球搶挖角". TechNews (in Chinese). Retrieved 2026-06-29.
- ↑ "RecSys Best Paper Awards". ACM Conference on Recommender Systems. Retrieved 2026-06-29.
