Office: 5162 Upson Hall
CS Department, Cornell University
University of California, San Diego, 2002-2004
B.S. in Computer Science
Graduated Summa cum Laude
My research interests focus on data mining and machine learning. My thesis focuses on integrating partially labeled information in to classification, regression, ranking, and clustering. I am also working on Meta Clustering: a method to generate multiple informative clusterings of the same data set and how to present the clustering results to the end user.
Here is my CV.
Nam Nguyen, Yang Song, Li-wei He, Scott Imig, and Robert Rounthwaite, Searchable Web Sites Discovery and Recommendation, In preparation.
Nam Nguyen, Improving Hierarchical Classification with Partial Labels, to appear in Proceedings of the European Conference on Artificial Intelligence (ECAI 2010).
Paul N. Bennett and Nam Nguyen, Refined Experts: Improving Classification in Large Taxonomies, In Proceedings of the 32nd Annual ACM SIGIR Conference (SIGIR’09).
Nam Nguyen and Rich Caruana, Classification with Partial Labels, In Proceedings of the Fourteen International Conference on Knowledge Discovery & Data Mining (KDD’08).
Nam Nguyen and Rich Caruana, Improving Classification with Pairwise Constraints: A Margin-based Approach, In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD’08).
Nam Nguyen and Yunsong Guos, Metric Learning: A Support Vector Approach, In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD’08).