Eric P. Xing - Concepedia

Author

Eric P. Xing

Also Known As

Ankur P. Parikh, Dr. Eric Xing, E P Xing, E. P. Xing, E. Xing, E., Xing, E.P. Xing, ERIC P XING, ERIC P. XING, Edward Xing

906

Publications

40.7K

Citations

H-Index

370

Concepts

All Affiliations

Carnegie Mellon University Mohamed bin Zayed University of Artificial Intelligence Tsinghua University University of California, Berkeley

About

Eric P. Xing is an author at Carnegie Mellon University specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	75	260	22.6K
2	Business	12	13	3.5K
3	Arts	11	11	849
4	Health Sciences	8	8	1.2K
5	Education	4	4	116

Eric P. Xing

417

Publications

37K

Citations

H-Index

Page 1

	Year	Citations
Distance Metric Learning with Application to Clustering with Side-Information Eric P. Xing, Michael I. Jordan, Stuart Russell,	2002	2.7K
Mixed Membership Stochastic Blockmodels. Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, PubMed Many Boilerplate ModelsEngineeringMachine LearningStochastic AnalysisLink Prediction	2008	1.5K
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang Zhang, Yaodong Yu, Jiantao Jiao, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningVerificationAi Safety	2019	918
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification Li-Jia Li, Hao Su, Li Fei-Fei, Figshare	2018	856
Mixed membership stochastic blockmodels Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, arXiv (Cornell University) Many Boilerplate ModelsEngineeringMachine LearningStochastic PhenomenonLink Prediction	2007	786
Feature selection for high-dimensional genomic microarray data Eric P. Xing, Michael I. Jordan, Richard M. Karp	2001	628
A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein, Brendan O’Connor, Noah A. Smith, Figshare	2010	607
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang, Xindi Wu, Zeyi Huang, Convolutional Neural NetworkEngineeringMachine LearningAutoencodersSocial Sciences	2020	587
Discrete temporal models of social networks Steve Hanneke, Wenjie Fu, Eric P. Xing Electronic Journal of Statistics EngineeringNetwork AnalysisNetwork ModelNetwork DynamicTemporal Erg Models	2010	563
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server Qirong Ho, James Cipar, Henggang Cui, PubMed	2013	554

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