I am a PhD student of Computer Science Department at Carnegie Mellon University, and my advisor is Prof. Eric Xing. I received my M.Sc. in Computer Science at the University of Toronto under the supervision of Prof. Michael Brudno and B.S. at POSTECH in Chemistry and Computer Science and Engineering.

Seunghak Lee and Eric P. Xing,
"Efficient Algorithm for Extremely Large Multi-task Regression with Massive Structured Sparsity"
Manuscript, arXiv:1208.3014

Seunghak Lee and Eric P. Xing,
"Structured Input-Output Lasso, with Application to eQTL Mapping, and a Thresholding Algorithm for Fast Estimation"
Manuscript, arXiv:1205.1989

James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Gregory R. Ganger, Garth Gibson, Kimberly Keeton, Eric P. Xing,
"Solving the straggler problem with bounded staleness"
in 14th Workshop on Hot Topics in Operating Systems (HotOS XIV 2013), Santa Ana Pueblo, May 2013.

Seunghak Lee and Eric P. Xing,
"Leveraging Input and Output Structures For Joint Mapping of Epistatic and Marginal eQTLs"
in Proc. Int'l Conference on Intelligent Systems for Molecular Biology (ISMB 2012)

Seunghak Lee, Jun Zhu, and Eric P. Xing,
"Adaptive Multi-Task Lasso: with Application to eQTL Detection"
in Advances in Neural Information Processing Systems 23 (NIPS 2010) [MATLAB source code (tar.gz)]

Seunghak Lee, Eric P. Xing and Michael Brudno,
"MoGUL: Detecting Common Insertions and Deletions in a Population"
in Fourteenth International Conference on Research in Computational Molecular Biology (RECOMB 2010)

Seunghak Lee, Fereydoun Hormozdiari, Can Alkan and Michael Brudno,
"MoDIL: detecting small indels from clone-end sequencing with mixtures of distributions"
in Nature Methods, 2009 [Website for source code]

Seunghak Lee and Seungjin Choi, "Ensembles of Landmark Multidimensional Scaling"
in IEEE Int'l Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009)

Seunghak Lee and Seungjin Choi, "Landmark MDS Ensemble"
in Pattern Recognition, 2008

Seunghak Lee, Elango Cheran and Michael Brudno, "A Robust Framework for Detecting Structural Variations in a Genome"
in Proc. Int'l Conference on Intelligent Systems for Molecular Biology (ISMB 2008)
Toronto, Canada, July 19-23, 2008 (accepted for oral presentation)

Seunghak Lee, Iryoung Jeong and Seungjin Choi, "Dynamically Weighted Hidden Markov Model for Spam Deobfuscation"
in Proc. Int'l Joint Conference on Artificial Intelligence (IJCAI 2007)
Hyderabad, India, January 6-12, 2007 (accepted for oral presentation)

Seunghak Lee and Iryoung Jeong, "SDD: high performance code clone detection system for large scale source code"
in Companion to the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications (OOPSLA 2005)