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Chih-Jen Lin

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Chih-Jen Lin Chih-Jen Lin PERSONAL DATA 1. Address: Department of Computer Science and Information Engineering, National Tai- wan University, Taipei 106, Taiwan 2. Phone: (886) 2-33664923, Fax: (886) 2-23628167 3. E-mail: [email protected] 4. Homepage: http://www.csie.ntu.edu.tw/~cjlin EDUCATION AND CURRENT POSITION: 1. Distinguished professor, Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan, 2011 { present 2. Adjunct distinguished professor, Graduate Institute of Networking and Multimedia, Na- tional Taiwan University, Taipei 106, Taiwan, August 2011 { present 3. Adjunct distinguished professor, Graduate Institute of Industrial Engineering, National Taiwan University, Taipei 106, Taiwan, August 2011 { present 4. Ph.D., Industrial & Operations Engineering, University of Michigan, September 1995 { May 1998. 5. M.S.E., Industrial & Operations Engineering, University of Michigan, September 1995 { December 1996. 6. B.S., Mathematics, National Taiwan University, October 1989 { June 1993. RESEARCH INTERESTS: 1. Machine learning: support vector machines, large-scale data classification, and applica- tions We develop popular machine learning software including LIBSVM (http://www.csie. ntu.edu.tw/~cjlin/libsvm) and LIBLINEAR (http://www.csie.ntu.edu.tw/~cjlin/ liblinear). According to http://citeseerx.ist.psu.edu/stats/articles, LIBSVM is among the 10 most cited computer science works at all time. 2. Large-scale optimization and its applications AWARDS AND RECOGNITION: { International: 1 1. Best paper award, Asian Conference on Machine Learning (ACML) 2018 (with stu- dents Chih-Yang Hsia and Wei-Lin Chiang) 2. ACM fellow, 2015 3. AAAI fellow, 2014 4. Best paper award, ACM Recommender Systems 2013 (with students Yong Zhuang, Wei-Sheng Chin, and Yu-Chin Juan) 5. ACM Distinguished Scientist, 2011 6. IEEE fellow (class of 2011) for contributions to support vector machine algorithms and software. 7. Member of the NTU team to win the first prize of KDD cup 2010, 2011 and 2013. 8. Best research paper award, ACM KDD 2010 (with students Hsiang-Fu Yu, Cho-Jui Hsieh, and Kai-Wei Chang). 9. Supervising students Chia-Hua Ho and Ming-Hen Tsai to win the 2nd place of Active Learning Challenge 2010. http://www.causality.inf.ethz.ch/activelearning.php 10. Member of the NTU team to win the 3rd place of KDD cup 2009 (extended track) . 11. Winner of ICML 2008 large-scale learning challenge (linear SVM track; with students Hsiang-Fu Yu, Cho-Jui Hsieh, and Kai-Wei Chang). http://largescale.first.fraunhofer.de/summary/ 12. Supervising student Yin-Wen Chang to win WCCI 2008 Causation and Prediction challenge. http://www.causality.inf.ethz.ch/home.php 13. Winner of WCCI 2002 competition on sequence recognition (with master students Ming-Wei Chang and Bo-Juen Chen) 14. Winner the EUNITE 2001 world wide competition (18 research groups) on electricity load prediction (http://neuron-ai.tuke.sk/competition). EUNITE is the Eu- ropean Network of Excellence on Intelligent Technology for smart adaptive systems (with master students Ming-Wei Chang and Bo-Juen Chen). 15. Winner of IJCNN Challenge 2001. IJCNN is one of the major Neural Networks conferences (with master student Chih-Chung Chang). 16. Winner of the OCR (Optical Character Recognition) competition organized by the University of Essex and the UK Post Office, December 2000. (with master student Chih-Chung Chang) 17. Second prize of the student paper competition, Fifth Copper Mountain conference on iterative methods, 1998. 2 18. Wallace J. Givens Research Associate (twice): competitive positions in Mathematics and Computer Science Division of Argonne National Laboratory which are intended to encourage graduate students who are beginning careers in computational science. { Domestic: 1. Science Chair Award, Far Eastern Y. Z. Hsu Science and Technology Memorial Foundation, 2019 2. Outstanding Scholar Award, Foundation for the Advancement of Outstanding Schol- arship (FAOS), 2016 3. Outstanding research award of Pan Wen Yuan Foundation, Taiwan, 2016 4. Pegatron Chair Professorship, 2016 5. Teco Award, 2015 6. Macronix International Co. Chair Professorship, 2014 7. K. T. Li Breakthrough Award, Institute of Information & Computing Machinery, Taiwan, 2012 8. NTU EECS Academic Excellence Award, NTU College of EECS, 2011. 9. Ten outstanding young persons of Taiwan, 2011 10. Distinguished Scholar Research Project, National Science Council, Taiwan, 2009 { 2012. 11. Outstanding Research Award, National Science Council, Taiwan, 2007, 2010, and 2013. 12. Ta-You Wu Memorial Award, National Science Council, Taiwan, 2006. 13. Fu Ssu-Nien Award of National Taiwan University, 2005 14. Research award for young researchers from Pan Wen-Yuan Foundation, Taiwan, 2003. 15. K. T. Li award for young researchers from ACM Taipei/Taiwan chapter, July, 2002 (one awarded per year for young computer scientists in Taiwan) 16. Young investigator award from Academia Sinica, Taiwan, May, 2002 (15 awarded per year in all research areas) 17. Prize for Outstanding Performance, National Mathematics Contest, R.O.C. 1989. PROFESSIONAL EXPERIENCE: 1. Distinguished Professor (August 2011{present), Professor (August 2006{present), Asso- ciate Professor (August 2002{August 2006), Assistant Professor (August 1998{August 2002), Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan. 3 2. Visiting professor, UCLA, January 2019 { February 2020. 3. Visiting professor, Alibaba, June { September 2017. 4. Visiting researcher, Microsoft, USA, January 2015 { September 2015, August 2016 { February 2017. 5. Visiting principal research scientist, eBay Research Labs, January 2012 { September 2012. 6. Visiting scientist, Google Research, February 2008 { September 2008. 7. Visiting scientist, Yahoo! Research, Burbank, California, August 2006 { February 2007. 8. Adjunct Associate Professor, Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei 106, Taiwan, August 2004{ August 2006 9. Adjunct Associate Professor (August 2002{August 2006), Adjunct Assistant Professor (August 2001{August 2002), Graduate Institute of Industrial Engineering, National Tai- wan University, Taipei 106, Taiwan. 10. Visiting Scientist, Mathematics and Computer Science division, Argonne National Lab- oratory, January 1999{February 1999, May 1999{August 1999. 11. Research Associate, Mathematics and Computer Science division, Argonne National Lab- oratory, January 1997{April 1997, September 1997{September 1998. 12. Wallace J. Givens Research Associate, Mathematics and Computer Science division, Argonne National Laboratory, May 1996{August 1996 and May 1997{August 1997. 13. Research Assistant, Department of Industrial and Operations Engineering, University of Michigan, September 1995{August 1998. 14. Teaching Assistant, Department of Industrial and Operations Engineering, University of Michigan, September 1996{December 1996. 15. Second Lieutenant, R.O.C. Army, July 1993 { May 1995. JOURNAL PAPERS: [1] Giulio Galvan, Matteo Lapucci, Chih-Jen Lin, and Marco Sciandrone. A two-level de- composition framework exploiting first and second order information for SVM train- ing problems. Journal of Machine Learning Research, 22(23):1{38, 2021. URL https: //www.csie.ntu.edu.tw/~cjlin/papers/19-632.pdf. [2] Leonardo Galli and Chih-Jen Lin. Truncated Newton methods for linear classification. IEEE Transactions on Neural Networks and Learning Systems, 2021. URL https:// www.csie.ntu.edu.tw/~cjlin/papers/tncg/tncg.pdf. To appear. 4 [3] Jui-Yang Hsia and Chih-Jen Lin. Parameter selection for linear support vector regression. IEEE Transactions on Neural Networks and Learning Systems, 31:5639{5644, 2020. URL https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/warm-start/svr-param.pdf. [4] Chien-Chih Wang, Kent Loong Tan, and Chih-Jen Lin. Newton methods for convolutional neural networks. ACM Transactions on Intelligent Systems and Technology, 11(2):19:1{ 19:30, 2020. URL https://www.csie.ntu.edu.tw/~cjlin/papers/cnn/newton-CNN. pdf. [5] Po-Wei Wang, Ching-Pei Lee, and Chih-Jen Lin. The common-directions method for regularized empirical risk minimization. Journal of Machine Learning Research, 20(58): 1{49, 2019. URL https://www.csie.ntu.edu.tw/~cjlin/papers/commdir/commdir. pdf. [6] Wei-Sheng Chin, Bo-Wen Yuan, Meng-Yuan Yang, and Chih-Jen Lin. An efficient al- ternating Newton method for learning factorization machines. ACM Transactions on Intelligent Systems and Technology, 9(6):72:1{72:31, 2018. URL https://www.csie. ntu.edu.tw/~cjlin/papers/fm/scalefm.pdf. [7] Chien-Chih Wang, Kent-Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, Sellamanickam Sundararajan, and Chih-Jen Lin. Distributed Newton methods for deep learning. Neural Computation, 30(6):1673{1724, 2018. URL http: //www.csie.ntu.edu.tw/~cjlin/papers/dnn/dsh.pdf. [8] Wei-Sheng Chin, Bo-Wen Yuan, Meng-Yuan Yang, Yong Zhuang, Yu-Chin Juan, and Chih-Jen Lin. LIBMF: A library for parallel matrix factorization in shared-memory systems. Journal of Machine Learning Research, 17(86):1{5, 2016. URL https://www. csie.ntu.edu.tw/~cjlin/papers/libmf/libmf_open_source.pdf. [9] Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, and Chih-Jen Lin. A fast parallel stochastic gradient method for matrix factorization in shared memory systems. ACM Transactions on Intelligent Systems and Technology, 6:2:1{2:24, 2015. URL http: //www.csie.ntu.edu.tw/~cjlin/papers/libmf/libmf_journal.pdf. [10] Chien-Chih Wang, Chun-Heng Huang, and Chih-Jen
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