EDUCATION

EXPERIENCE

SELECTED PUBLICATIONS

• Hsuan-Tien Lin and Ling Li. Support vector machinery for infinite 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 classification. In B. Schölkopf 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. Balcázar et al., eds., Algorithmic Learning Theory: ALT 2006, pp. 319-333, 2006.
• Ling Li. Multiclass boosting with repartitioning. In W. W. Cohen and A. Moore, eds., ICML 2006: Proceedings of the 23^rd 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 infinite ensemble learning. In Proceedings of the 12^th International Conference on Neural Information Processing, pp. 761-766, 2005.
• Hsuan-Tien Lin and Ling Li. Analysis of SAGE results with combined learning techniques. In P. Berka and B. Crémilleux, eds., Proceedings of the ECML/PKDD 2005 Discovery Challenge, 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. Infinite 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