Education:
Ph.D. in Computing Science, University of Alberta, 2007
M.S. in Computer Science, NanKai University, 2001
B.S. in Computer Science, NanKai University, 1998
Research Interests :
Dimensionality reduction and feature selection, Active learning, Semi-supervised learning and unsupervised learning, Learning with structured data,
Learning graphical models, Bioinformatics
Teaching and Professional Interests:
Probabilistic Graphical Models, Algorithms and Data Structures
Selected Publications:
- Yuhong Guo (2008), ``Supervised Exponential Family Principal Component Analysis via Convex Optimization''. In Proceedings of Advances in Neural Information Processing Systems (NIPS-08). [pdf]
- Yuhong Guo and Dale Schuurmans (2008), ``Efficient Global Optimization for Exponential Family PCA and Low-rank Matrix Factorization". In Allerton Conference on Communication, Control, and Computing (Allerton-08). [pdf]
- Yuhong Guo and Dale Schuurmans (2007), ``Convex Relaxations of Latent Variable Training''. In Proceedings of Advances in Neural Information Processing Systems (NIPS-07). [pdf]
- Yuhong Guo and Dale Schuurmans (2007), ``Discriminative Batch Mode Active Learning''. In Proceedings of Advances in Neural Information Processing Systems (NIPS-07). [pdf]
- Yuhong Guo and Dale Schuurmans (2007), ``Learning Gene Regulatory Networks via Globally Regularized Risk Minimization''. In Proceedings of the Fifth Annual RECOMB Satellite Workshop on Comparative Genomics (RECOMB-CG'07). [pdf]
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