Seyoung Kim

Kyung-Ah Sohn, Seyoung Kim: Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization. Journal of Machine Learning Research - Proceedings Track 22: 1081-1089 (2012)

Seyoung Kim, Sheldon S. Williamson: Negative impedance instability compensation in buck converter using state space pole placement control. CCECE 2012: 1-5

Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing: Smoothing Proximal Gradient Method for General Structured Sparse Learning. CoRR abs/1202.3708 (2012)

Seyoung Kim, Padhraic Smyth, Stefan Luther: Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models. CoRR abs/1207.4143 (2012)

Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing: Smoothing Proximal Gradient Method for General Structured Sparse Learning. UAI 2011: 105-114

Kriti Puniyani, Seyoung Kim, Eric P. Xing: Multi-population GWA mapping via multi-task regularized regression. Bioinformatics [ISMB] 26(12): 208-216 (2010)

Sanjay K. Banerjee, Leonard Franklin Register, Emanuel Tutuc, Dipanjan Basu, Seyoung Kim, Dharmendar Reddy, Allan H. MacDonald: Graphene for CMOS and Beyond CMOS Applications. Proceedings of the IEEE 98(12): 2032-2046 (2010)

Seyoung Kim, Padhraic Smyth, Hal S. Stern: A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data. IEEE Trans. Med. Imaging 29(6): 1260-1274 (2010)

Seyoung Kim, Eric P. Xing: Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity. ICML 2010: 543-550

Xi Chen, Seyoung Kim, Qihang Lin, Jaime G. Carbonell, Eric P. Xing: Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso. CoRR abs/1005.3579 (2010)

Xi Chen, Qihang Lin, Seyoung Kim, Javier Peña, Jaime G. Carbonell, Eric P. Xing: An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity. CoRR abs/1005.4717 (2010)

Seyoung Kim, Kyung-Ah Sohn, Eric P. Xing: A multivariate regression approach to association analysis of a quantitative trait network. Bioinformatics 25(12) (2009)

Xiaolin Yang, Seyoung Kim, Eric P. Xing: Heterogeneous multitask learning with joint sparsity constraints. NIPS 2009: 2151-2159

Seyoung Kim, Eric P. Xing: Feature Selection via Block-Regularized Regression. UAI 2008: 325-332

Seyoung Kim, Padhraic Smyth: Segmental Hidden Markov Models with Random Effects for Waveform Modeling. Journal of Machine Learning Research 7: 945-969 (2006)

Seyoung Kim, Padhraic Smyth, Hal S. Stern: A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data. MICCAI (2) 2006: 217-224

Seyoung Kim, Padhraic Smyth: Hierarchical Dirichlet Processes with Random Effects. NIPS 2006: 697-704

Seyoung Kim, Padhraic Smyth, Hal S. Stern, Jessica A. Turner: Parametric Response Surface Models for Analysis of Multi-site fMRI Data. MICCAI 2005: 352-359

Seyoung Kim, Padhraic Smyth, Stefan Luther: Modeling Waveform Shapes with Random E ects Segmental Hidden Markov Models. UAI 2004: 309-316

Seyoung Kim, John J. Metzner: Performance improvement of a frequency hopping-CDMA system utilizing memorized prior data. IEEE Transactions on Communications 39(4): 496-502 (1991)