abqdag@r.postjobfree.com

Li, Ling http://www.work.caltech.edu/ling/

EDUCATION

*/** */** **.D. in Computer Science, with minor in Electrical Engineering

California Institute of Technology, Pasadena, CA

Thesis: Data Complexity in Machine Learning and Novel Classi cation Algorithms

8/00 6/02 M.S. in Computer Science, GPA: 4.2 / 4

California Institute of Technology, Pasadena, CA

9/98 6/00 M.Eng. with honor in Computer Science and Application

Tsinghua University, Beijing, China

9/94 6/98 B.Eng. with honor in Computer Science and Technology

Tsinghua University, Beijing, China

EXPERIENCE

7/06 Present Quantitative Analyst, D. E. Shaw & Co., New York, NY

8/00 6/06 Research Assistant, California Institute of Technology, Pasadena, CA

Machine Learning; Swarm Intelligence; Optimization; Computational Finance; Error-

Correcting Codes; Probability; Monte Carlo Methods.

10/02 3/03 Teaching Assistant, California Institute of Technology, Pasadena, CA

Graduate level CS156a: Learning Systems;

Graduate level CS156b: Learning Systems.

10/01 12/01 Teaching Assistant, California Institute of Technology, Pasadena, CA

Graduate level CS156b: Learning Systems;

Graduate level CS129a: Information and Complexity.

SELECTED PUBLICATIONS

Hsuan-Tien Lin and Ling Li. Support vector machinery for in nite ensemble learning. Journal of

Machine Learning Research, 9(Feb):285 312, 2008.

Ling Li and Hsuan-Tien Lin. Optimizing 0/1 loss for perceptrons by random coordinate descent.

In Proceedings of the 2007 International Joint Conference on Neural Networks, pp. 749 754, 2007.

Ling Li and Hsuan-Tien Lin. Ordinal regression by extended binary classi cation. In B. Sch lkopf

o

et al., eds., Advances in Neural Information Processing Systems 19, pp. 865 872, 2007.

Hsuan-Tien Lin and Ling Li. Large-margin thresholded ensembles for ordinal regression: Theory

and practice. In J. Balc zar et al., eds., Algorithmic Learning Theory: ALT 2006, pp. 319 333,

a

2006.

Ling Li. Multiclass boosting with repartitioning. In W. W. Cohen and A. Moore, eds., ICML 2006:

Proceedings of the 23rd International Conference on Machine Learning, pp. 569 576, 2006.

Ling Li and Yaser S. Abu-Mostafa. Data complexity in machine learning. Computer Science

Technical Report CaltechCSTR:2006.004, California Institute of Technology, 2006.

Hsuan-Tien Lin and Ling Li. Novel distance-based SVM kernels for in nite ensemble learning. In

Proceedings of the 12th International Conference on Neural Information Processing, pp. 761 766,

2005.

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Hsuan-Tien Lin and Ling Li. Analysis of SAGE results with combined learning techniques. In

P. Berka and B. Cr milleux, eds., Proceedings of the ECML/PKDD 2005 Discovery Challenge,

e

pp. 102 113, 2005.

Ling Li, Amrit Pratap, Hsuan-Tien Lin, and Yaser S. Abu-Mostafa. Improving generalization by

data categorization. In A. Jorge et al., eds., Knowledge Discovery in Databases: PKDD 2005,

pp. 157 168, 2005.

Hsuan-Tien Lin and Ling Li. In nite ensemble learning with support vector machines. In J. Gama

et al., eds., Machine Learning: ECML 2005, pp. 242 254, 2005.

Ling Li, Alcherio Martinoli, and Yaser S. Abu-Mostafa. Learning and measuring specialization in

collaborative swarm systems. Adaptive Behavior, 12(3 4):199 212, 2004.

Ling Li, Alcherio Martinoli, and Yaser S. Abu-Mostafa. Diversity and specialization in collaborative

swarm systems. In C. Anderson and T. Balch, eds., Proceedings of the 2 nd International Workshop

on the Mathematics and Algorithms of Social Insects, pp. 91 98, 2003.

Ling Li, Yaser S. Abu-Mostafa, and Amrit Pratap. CGBoost: Conjugate gradient in function space.

Computer Science Technical Report CaltechCSTR:2003.007, California Institute of Technology,

2003.

Ling Li, Alcherio Martinoli, and Yaser S. Abu-Mostafa. Emergent specialization in swarm systems.

In H. Yin et al., eds., Intelligent Data Engineering and Automated Learning IDEAL 2002,

pp. 261 266, 2002.

Fang Zheng, Zhanjiang Song, Ling Li, et al. The distance measure for line spectrum pairs applied

to speech recognition. In Proceedings of the 5th International Conference on Spoken Language

Processing (ICSLP 98), 3:1123 1126, 1998.

PROFESSIONAL SERVICES

Committee member and reviewer for the 2005 IEEE Swarm Intelligence Symposium

Reviewer for the International Journal of Computer Vision, IEEE Transactions on Neural Networks,

King Saub University Journal, and Neurocomputing

HONORS AND AWARDS

Caltech Social and Information Sciences Laboratory (SISL) Graduate Fellowship, 2004 2006

Second at the TopCoder Collegiate Challenge, 2002

Caltech Engineering and Applied Sciences Division Fellowship, 2000 2001

Tsinghua Excellent (Master) Graduate, 2000

IBM Scholarship for China Outstanding Students, 1999

Tsinghua Excellent (Bachelor) Graduate (for top 3% of all the graduates), 1998

Outstanding in Mathematical Contest in Modeling (MCM 98, USA), 1998

Ten Elites of Tsinghua University (awarded to 10 outstanding students every 3 years), 1997

Tsinghua Top-Grade Scholarship (annually awarded to 6 best students in Tsinghua), 1997

First Prize in 1997 National Mathematical Contest in Modeling (China), 1997

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