Xiaohui Xie

Gui-Bo Ye, Xiaohui Xie: Learning sparse gradients for variable selection and dimension reduction. Machine Learning 87(3): 303-355 (2012)

Lingjie Weng, Fabio Macciardi, Aravind Subramanian, Guia Guffanti, Steven G. Potkin, Zhaoxia Yu, Xiaohui Xie: SNP-based pathway enrichment analysis for genome-wide association studies. BMC Bioinformatics 12: 99 (2011)

Kenneth Daily, Vishal R. Patel, Paul Rigor, Xiaohui Xie, Pierre Baldi: MotifMap: integrative genome-wide maps of regulatory motif sites for model species. BMC Bioinformatics 12: 495 (2011)

Gui-Bo Ye, Xiaohui Xie: Split Bregman method for large scale fused Lasso. Computational Statistics & Data Analysis 55(4): 1552-1569 (2011)

Daniel Newkirk, Jacob Biesinger, Alvin Chon, Kyoko Yokomori, Xiaohui Xie: AREM: Aligning Short Reads from ChIP-Sequencing by Expectation Maximization. Journal of Computational Biology 18(11): 1495-1505 (2011)

Gui-Bo Ye, Yifei Chen, Xiaohui Xie: Efficient variable selection in support vector machines via the alternating direction method of multipliers. Journal of Machine Learning Research - Proceedings Track 15: 832-840 (2011)

Xiao Zeng, Xiaohui Xie, Kongqiao Wang: Instant video summarization during shooting with mobile phone. ICMR 2011: 40

Daniel Newkirk, Jacob Biesinger, Alvin Chon, Kyoko Yokomori, Xiaohui Xie: AREM: Aligning Short Reads from ChIP-Sequencing by Expectation Maximization. RECOMB 2011: 283-297

Gui-Bo Ye, Yuanfeng Wang, Yifei Chen, Xiaohui Xie: Efficient Latent Variable Graphical Model Selection via Split Bregman Method. CoRR abs/1110.3076 (2011)

Jiannan Wang, Inci Cetindil, Shengyue Ji, Chen Li, Xiaohui Xie, Guoliang Li, Jianhua Feng: Interactive and fuzzy search: a dynamic way to explore MEDLINE. Bioinformatics 26(18): 2321-2327 (2010)

Kenny Daily, Paul Rigor, Scott Christley, Xiaohui Xie, Pierre Baldi: Data structures and compression algorithms for high-throughput sequencing technologies. BMC Bioinformatics 11: 514 (2010)

Steven G. Potkin, Fabio Macciardi, Guia Guffanti, James H. Fallon, Qi Wang, Jessica A. Turner, Anita Lakatos, Michael F. Miles, Arthur Lander, Marquis P. Vawter, Xiaohui Xie: Identifying gene regulatory networks in schizophrenia. NeuroImage 53(3): 839-847 (2010)

Gui-Bo Ye, Xiaohui Xie: Variable Selection and Dimension Reduction via Sparse Gradients. CoRR abs/1006.5060 (2010)

Gui-Bo Ye, Xiaohui Xie: Split Bregman method for large scale fused Lasso. CoRR abs/1006.5086 (2010)

Gui-Bo Ye, Jian-Feng Cai, Xiaohui Xie: Split Bregman Method for Sparse Inverse Covariance Estimation with Matrix Iteration Acceleration. CoRR abs/1012.0975 (2010)

Xiaohui Xie, Paul Rigor, Pierre Baldi: MotifMap: a human genome-wide map of candidate regulatory motif sites. Bioinformatics 25(2): 167-174 (2009)

Scott Christley, Yiming Lu, Chen Li, Xiaohui Xie: Human genomes as email attachments. Bioinformatics 25(2): 274-275 (2009)

Manuel Garber, Mitchell Guttman, Michele E. Clamp, Michael C. Zody, Nir Friedman, Xiaohui Xie: Identifying novel constrained elements by exploiting biased substitution patterns. Bioinformatics 25(12) (2009)

Gang Wu, Weijie Liu, Xiaohui Xie, Qiang Wei: A Shape Detection Method Based on the Radial Symmetry Nature and Direction-Discriminated Voting. ICIP (6) 2007: 169-172

Xiaohui Xie, Fei Su, Anni Cai: Ridge-Based Fingerprint Recognition. ICB 2006: 273-279

Justin Werfel, Xiaohui Xie, H. Sebastian Seung: Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks. Neural Computation 17(12): 2699-2718 (2005)

Xiaohui Xie, Fei Su, Anni Cai, Jingao Sun: A Robust Fingerprint Minutiae Matching Algorithm Based on the Support Model. ICBA 2004: 316-323

Xiaohui Xie, H. Sebastian Seung: Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network. Neural Computation 15(2): 441-454 (2003)

Justin Werfel, Xiaohui Xie, H. Sebastian Seung: Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks. NIPS 2003

Martin A. Giese, Xiaohui Xie: Exact solution of the nonlinear dynamics of recurrent neural mechanisms for direction selectivity. Neurocomputing 44-46: 417-422 (2002)

Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung: Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition. Neural Computation 14(11): 2627-2646 (2002)

Richard H. R. Hahnloser, Xiaohui Xie, H. Sebastian Seung: A theory of neural integration in the head-direction system. NIPS 2001: 221-228

Xiaohui Xie, Martin A. Giese: Generating velocity tuning by asymmetric recurrent connections. NIPS 2001: 325-332

Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung: Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks. NIPS 2000: 350-356

Xiaohui Xie, H. Sebastian Seung: Spike-based Learning Rules and Stabilization of Persistent Neural Activity. NIPS 1999: 199-208