Wei Wu

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 12

Top Topics

Distance Metric Learning

Convex Relaxation

Information Bottleneck

Top Venues

J. Comput. Biol.

Publications

Haohan Wang, Oscar Lopez, Eric P. Xing, Wei Wu
Kernel Mixed Model for Transcriptome Association Study. J. Comput. Biol. 29 (12) (2022)
Haohan Wang, Oscar L. Lopez, Wei Wu, Eric P. Xing
Gene Set Priorization Guided by Regulatory Networks with p-values through Kernel Mixed Model. RECOMB (2022)
Haohan Wang, Fen Pei, Michael M. Vanyukov, Ivet Bahar, Wei Wu, Eric P. Xing
Coupled mixed model for joint genetic analysis of complex disorders with two independently collected data sets. BMC Bioinform. 22 (1) (2021)
Seo-Jin Bang, Pengtao Xie, Heewook Lee, Wei Wu, Eric P. Xing
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach. AAAI (2021)
Haohan Wang, Tianwei Yue, Jingkang Yang, Wei Wu, Eric P. Xing
Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies. BMC Bioinform. (23) (2019)
Seo-Jin Bang, Pengtao Xie, Wei Wu, Eric P. Xing
Explaining a black-box using Deep Variational Information Bottleneck Approach. CoRR (2019)
Haohan Wang, Yibing Wei, Mengxin Cao, Ming Xu, Wei Wu, Eric P. Xing
Deep Inductive Matrix Completion for Biomedical Interaction Prediction. BIBM (2019)
Haohan Wang, Changpeng Lu, Wei Wu, Eric P. Xing
Graph-structured Sparse Mixed Models for Genetic Association with Confounding Factors Correction. BIBM (2019)
Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. CoRR (2018)
Seo-Jin Bang, Wei Wu
Regularization. CoRR (2018)
Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. ICML (2018)
Seo-Jin Bang, Wei Wu
Naïve Bayes ensemble: A new approach to classifying unlabeled multi-class asthma subjects. BIBM (2016)
Ankur P. Parikh, Wei Wu, Eric P. Xing
Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity. Pacific Symposium on Biocomputing (2014)
Ankur P. Parikh, Ross E. Curtis, Irene Kuhn, Sabine Becker-Weimann, Mina J. Bissell, Eric P. Xing, Wei Wu
Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm. PLoS Comput. Biol. 10 (7) (2014)
Ankur P. Parikh, Wei Wu, Ross E. Curtis, Eric P. Xing
TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages. Bioinform. 27 (13) (2011)
Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing
GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data. RECOMB (2007)
Wei Wu, Eric P. Xing, Connie Myers, I. Saira Mian, Mina J. Bissell
-NN classification. BMC Bioinform. 6 (2005)
Wei Wu, Nilesh Dave, George C. Tseng, Thomas Richards, Eric P. Xing, Naftali Kaminski
Comparison of normalization methods for CodeLink Bioarray data. BMC Bioinform. 6 (2005)
Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp
Motif Detection. J. Bioinform. Comput. Biol. 2 (1) (2004)
Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp
LOGOS: a modular Bayesian model for de novo motif detection. CSB (2003)