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Ph.D. student
Stanford University
Stanford, CA 94305
Office: Gates Building, Room
124
Email:
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.
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]