Project Manager Computer Science

Hsuan-Tien Lin

California Institute of Technology, +1-626-***-****

**** * ********** ****., ** 136-93, *****@*******.***

Pasadena, CA 91125, USA http://www.work.caltech.edu/~htlin

E DUCATION

California Institute of Technology, Pasadena, CA, USA

Ph.D. in Computer Science June 2008

M.S. in Computer Science June 2005

GPA 4.2/4.0; Member of the Learning Systems Group; Advisor: Professor Yaser S. Abu-Mostafa

National Taiwan University, Taipei, Taiwan

B.S. in Computer Science and Information Engineering June 2001

GPA 4.0/4.0; Ranked 1st out of 78, with 7 President s Awards (top 5% each semester);

Member of the Machine Learning and Data Mining Group; Advisor: Professor Chih-Jen Lin

P ROFESSIONAL S KILLS

7+ years of experience in machine learning: knowledgeable in state-of-the-art algorithms such as

Neural Network, Support Vector Machine, and Adaptive Boosting and capable of designing new ones

for speci c applications

10+ years of programming experience on UNIX, MS Windows using C/C++, Java, Python, Delphi

Experienced in programming with teammates under time pressure: prevailed in team programming

contests such as ACM International Collegiate Programming Contest

S ELECTED E XPERIENCE

California Institute of Technology, Pasadena, CA, USA July 2003 Present

Research Assistant to Professor Yaser S. Abu-Mostafa

Proposed novel and useful techniques for machine learning, such as the in nite ensemble learning

framework which outperforms traditional techniques

Studied the connections between the ordinal ranking setup and traditional machine learning setups,

which results in new theoretical and algorithmic understanding that facilitates the design of better

techniques for ordinal ranking

California Institute of Technology, Pasadena, CA, USA Fall 2004, Fall/Winter 2006, Fall/Winter 2007

Teaching Assistant (CS129ab: Information and Complexity, CS156ab: Learning Systems)

Held 2+ hours of TA session bi-weekly and discussed actively with students on course material and

homework problems; answered daily email queries from students in addition to spending 2+ full

days bi-weekly on grading homework sets

Designed some fresh homework problems dynamically as course proceeded to strengthen students

understanding in Winter 2006

National Taiwan University, Taipei, Taiwan September 2000 June 2001, March 2003 June 2003

Research Assistant to Professor Chih-Jen Lin

Conducted research towards designing and implementing a better open-source software for

Support Vector Machine: improved the ef ciency and the stability of its probability estimate routine;

analyzed its regression algorithms and demonstrated the usefulness of a simpler choice

Hsuan-Tien Lin Resume, page 2 of 2

Websurf Company, Taipei, Taiwan June 2000 May 2001

Project Manager

Led an investigation team of 3 people to build the prototype of an http-based forum system with an

open protocol compatible with existing telnet-based forum systems in Taiwan

Professional Technology Temple (PTT) BBS System, Taipei, Taiwan January 1998 May 2001

Root and Core Administrator

Collaborated with a team of 8+ administrators to manage one of the largest bulletin board systems

in Taiwan (around 120, 000 registered users at that time)

Developed new features for the system, made professional decisions, and as a result doubled the

number of concurrent users online (2000 4000) during my course as the root

S ELECTED H ONORS

Caltech Engineering and Applied Science Division Fellowship 2005 2007

Second Prize, Trend Student Million-Dollar Internet Programming Contest 2000

(with L.-C. Kung, K.-P. Chen, G.-W. Liu, C.-Y. Wu, and J. Lin)

Asia Champion, ACM International Collegiate Programming Contest 1999

(also worldwide 10th prize, with L.-C. Kung and K.-P. Chen)

S ELECTED P UBLICATIONS

[1] H.-T. Lin and L. Li. Support Vector Machinery for In nite Ensemble Learning. Journal of Machine

Learning Research, 9(2), 285 312, 2008.

[2] H.-T. Lin, C.-J. Lin, and R. C. Weng. A Note on Platt s Probabilistic Outputs for Support Vector

Machines. Machine Learning, 68(3), 267 276, 2007.

[3] L. Li and H.-T. Lin. Ordinal Regression by Extended Binary Classi cation. Advances in Neural

Information Processing Systems 19: NIPS 2006, 865 872, 2007.

[4] H.-T. Lin and L. Li. Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and

Practice. Algorithmic Learning Theory: ALT 2006, 319 333, 2006.

[5] L. Li, A. Pratap, H.-T. Lin, and Y. S. Abu-Mostafa. Improving Generalization by Data

Categorization. Proceedings of PKDD 2005, 157 168, 2005.

[6] S.-P. Liao, H.-T. Lin, and C.-J. Lin. A Note on the Decomposition Methods for Support Vector

Regression. Neural Computation, 14, 1267 1281, 2002.

S ELECTED P ROFESSIONAL ACTIVITIES

Paper Reviewer

IEEE Transactions on Neural Networks, IEEE Transactions on Pattern Analysis and Machine

Intelligence, Neurocomputing Journal, Conference on Neural Information Processing Systems (NIPS

2007), IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2006)

Technical Discussion Forum Moderator

Kernel Machines Blackboard (http://kernel-machines.org)

Contributed to the forum with 8% of the total posts and answered technical questions ranging from

learning theory to practical software usage

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