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ORCIDWei Wu 0023
Person information
- affiliation: Carnegie Mellon University, School of Computer Science, Computational Biology Department, Pittsburgh, PA, USA
- affiliation (former): University of Pittsburgh Medical Center, PA, USA
- affiliation (former): Lawrence Berkeley National Laboratory, Life Sciences Division, CA, USA
Other persons with the same name
- Wei Wu — disambiguation page
- Wei Wu 0001
![[0000-0003-0343-4632]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0343-4632")
— Fujian Normal University, School of Mathematics and Computer Science, Fuzhou, China (and 1 more) - Wei Wu 0002 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Wei Wu 0003 — Chinese Academy of Sciences, Institute of Automation, Beijing, China (and 3 more)
- Wei Wu 0004 — University of Texas at San Antonio, TX, USA
- Wei Wu 0005 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, Nanjing, China (and 1 more)
- Wei Wu 0006 — Florida State University, Department of Statistics, Tallahassee, FL, USA
- Wei Wu 0007 — Hainan University, College of Information Science and Technology, Haikou, China (and 1 more)
- Wei Wu 0008 — Beihang University, State Key Lab of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
- Wei Wu 0009 — Changsha University of Science and Technology, School of Traffic and Transportation Engineering, China
- Wei Wu 0010 — Dalian University of Technology, School of Mathematical Sciences, China (and 1 more)
- Wei Wu 0011 — Central South University, School of Computer Science and Engineering, Changsha, China (and 2 more)
- Wei Wu 0012 — Beijing Institute of Technology, School of Mechanical Engineering, National Key Laboratory of Vehicular Transmission, China
- Wei Wu 0013 — Naval University of Engineering, College of Weaponry Engineering, Wuhan, China (and 1 more)
- Wei Wu 0014 — Meituan Inc, Beijing, China (and 2 more)
- Wei Wu 0015 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Wei Wu 0016 — Los Alamos National Laboratory, NM, USA (and 2 more)
- Wei Wu 0017 — Seikei University, Tokyo, Japan (and 1 more)
- Wei Wu 0018 — Jilin University, School of Communication Engineering, Changchun, China (and 1 more)
- Wei Wu 0019 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Wei Wu 0020 — Visa Inc, Singapore (and 2 more)
- Wei Wu 0021 — SenseTime Group Ltd, Urban Computing Group, China
- Wei Wu 0022 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China (and 2 more)
- Wei Wu 0024 — Intel Research Laboratory, Hillsboro, OR, USA (and 1 more)
- Wei Wu 0025 — National Cancer Institute, Rockville, MD, USA (and 1 more)
- Wei Wu 0026 — Tongji University, CMIS Research Center, Shanghai, China
- Wei Wu 0027 — 54th Research Institute of China Electronics Technology Group Corporation, China (and 1 more)
- Wei Wu 0028 — University of California San Diego, Center for Memory and Recording Research, La Jolla, CA, USA
- Wei Wu 0029 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China (and 1 more)
- Wei Wu 0030 — Xiamen University, Department of Chemistry, China
- Wei Wu 0031 — Liaoning University of Technology, College of Science, China
- Wei Wu 0032 — Inner Mongolia University, School of Computer Science, Huhhot, China
- Wei Wu 0033 — Beijing University of Posts and Telecommunications, Beijing Laboratory of Advanced Information Network / Beijing Key Laboratory of Network System Architecture and Convergence, China
- Wei Wu 0034 — Qingdao Agricultural University, College of Food Science and Engineering, China
- Wei Wu 0036 — Nanjing University of Posts and Telecommunications, College of Telecommunication and Information Engineering, MOE Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, China
- Wei Wu 0037 — Chinese Academy of Sciences, Changchun Institute of Applied Chemistry, State Key Laboratory of Electroanalytical Chemistry, China
- Wei Wu 0038 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Wei Wu 0039 — Lanzhou Jiaotong University, School of Electronic and Information Engineering, China
- Wei Wu 0041 — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong
- Wei Wu 0042 — Peking University, Key Laboratory of High Confidence Software Technologies of Ministry of Education, Beijing, China (and 1 more)
- Wei Wu 0043 — University of Technology, Austin, USA
- Wei Wu 0044 — ShannonAI (and 1 more)
- Wei Wu 0045 — University of Science and Technology of China, School of Artificial Intelligence and Data Science, School of Data Science, Hefei, China
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2020 – today
- 2022
[j8]Haohan Wang, Oscar Lopez, Eric P. Xing, Wei Wu:
Kernel Mixed Model for Transcriptome Association Study. J. Comput. Biol. 29(12): 1353-1356 (2022)- [c9]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: 107-125 - 2021
- [j7]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): 50 (2021) - [c8]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: 11396-11404
2010 – 2019
- 2019
- [j6]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. 20-S(23): 656 (2019) - [c7]Haohan Wang, Changpeng Lu, Wei Wu, Eric P. Xing:
Graph-structured Sparse Mixed Models for Genetic Association with Confounding Factors Correction. BIBM 2019: 298-302 - [c6]Haohan Wang, Yibing Wei, Mengxin Cao, Ming Xu, Wei Wu, Eric P. Xing:
Deep Inductive Matrix Completion for Biomedical Interaction Prediction. BIBM 2019: 520-527 - [i3]Seo-Jin Bang, Pengtao Xie, Wei Wu, Eric P. Xing:
Explaining a black-box using Deep Variational Information Bottleneck Approach. CoRR abs/1902.06918 (2019) - 2018
- [c5]Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing:
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. ICML 2018: 5399-5408 - [i2]Pengtao Xie, Wei Wu, Yichen Zhu, Eric P. Xing:
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis. CoRR abs/1802.06014 (2018) - [i1]Seo-Jin Bang, Wei Wu:
Multiple Kernel k-means Clustering using Min-Max Optimization with l2 Regularization. CoRR abs/1803.02458 (2018) - 2016
- [c4]Seo-Jin Bang, Wei Wu:
Naïve Bayes ensemble: A new approach to classifying unlabeled multi-class asthma subjects. BIBM 2016: 460-465 - 2014
- [j5]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) - [c3]Ankur P. Parikh, Wei Wu, Eric P. Xing:
Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity. Pacific Symposium on Biocomputing 2014: 265-276 - 2011
- [j4]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): 196-204 (2011)
2000 – 2009
- 2007
- [c2]Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing:
GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data. RECOMB 2007: 151-165 - 2005
- [j3]Wei Wu, Eric P. Xing, Connie Myers, I. Saira Mian, Mina J. Bissell:
Evaluation of normalization methods for cDNA microarray data by k-NN classification. BMC Bioinform. 6: 191 (2005) - [j2]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: 309 (2005) - 2004
- [j1]Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp:
Logos: a Modular Bayesian Model for de Novo Motif Detection. J. Bioinform. Comput. Biol. 2(1): 127-154 (2004) - 2003
- [c1]Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp:
LOGOS: a modular Bayesian model for de novo motif detection. CSB 2003: 266-276
Coauthor Index
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