Honglak Lee

Ph.D. student

Computer Science Department

Stanford University

Stanford, CA 94305

Office: Gates Building, Room 124

Email:

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Research Interests: Machine Learning

(Probabilistic models, vision and pattern recognition, reinforcement learning, optimization theory, and high-dimensional data analysis)

Ph.D. Advisor: Professor Andrew Ng.

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Publications (Referred Conference Proceedings):

Sparse deep belief network model for visual area V2. [pdf]

Honglak Lee, Chaitu Ekanadham, Andrew Y. Ng.

In Proceedings of the Neural Information Processing Systems (NIPS) 20, 2008.

Self-taught learning: Transfer learning from unlabeled data. [pdf]

Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer and Andrew Y. Ng.

In Proceedings of the Twenty-fourth International Conference on Machine Learning (ICML), 2007.

Efficient sparse coding algorithms. [pdf][ code]

Honglak Lee, Alexis Battle, Rajat Raina, Andrew Y. Ng.

In Proceedings of the Neural Information Processing Systems (NIPS) 19, 2007.

Efficient L1 regularized logistic regression. [pdf]

Su-In Lee, Honglak Lee, Pieter Abbeel and Andrew Y. Ng.

In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI), 2006.

A dynamic Bayesian network model for autonomous 3d reconstruction from a single indoor image. [pdf]

Erick Delage, Honglak Lee, and Andrew Y. Ng.

In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2006.

Quadruped robot obstacle negotiation via reinforcement learning. [pdf, videos]

Honglak Lee, Yirong Shen, Chih-Han Yu, Gurjeet Singh, and Andrew Y. Ng.

In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2006.

Automatic single-image 3d reconstructions of indoor Manhattan world scenes. [pdf]

Erick Delage, Honglak Lee, and Andrew Y. Ng.

In Proceedings of the 12th International Symposium of Robotics Research (ISRR), 2005.

Spam deobfuscation using a hidden Markov model. [pdf]

Honglak Lee and Andrew Y. Ng.

In Proceedings of the Second Conference on Email and Anti-Spam (CEAS), 2005.

Winner of the Best Student Paper Award.

Publications (Journals):

High-throughput identification of transcription start sites, conserved promoter motifs, and predicted regulons

Patrick T. McGrath, Honglak Lee, Li Zhang, Antonio A. Iniesta, Alison K. Hottes,

Meng How Tan, Nathan J. Hillson, Ping Hu, Lucy Shapiro, and Harley H. McAdams

Nature Biotechnology, 25, 584-592 (2007). [pdf, fulltext, pubmed]