Feng Liang

Cited by

	All	Since 2018
Citations	4836	2535
h-index	25	20
i10-index	41	31

540

270

135

405

200520062007200820092010201120122013201420152016201720182019202020212022202312 16 33 62 82 121 188 196 216 251 303 355 368 454 477 478 490 525 111

Public access

View all

13 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Sayan MukherjeeDuke University, MITVerified email at stat.duke.edu
Thomas S. HuangUniversity of Illinois, Urbana-ChampaignVerified email at ifp.uiuc.edu
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Merlise ClydeProfessor of Statistical Science, Duke UniversityVerified email at duke.edu
Zhen LiGoogleVerified email at google.com
Liangliang CaoApple IncVerified email at apple.com
Wu, QiangMiddle Tennessee State UniversityVerified email at mtsu.edu
Tianfang XuAssistant Professor, Arizona State UniversityVerified email at asu.edu
John R. SmithIBM T. J. Watson Research CenterVerified email at us.ibm.com
Edward I GeorgeUniversal Furniture Professor Emeritus of Statistics, Wharton School, University of PennsylvaniaVerified email at wharton.upenn.edu
Al ValocchiProfessor of Civil and Environmental Engineering, Univ. of IllinoisVerified email at illinois.edu
Mike WestDuke UniversityVerified email at nc.rr.com
Andrew R BarronProfessor of Statistics, Yale UniversityVerified email at yale.edu
Joseph HellersteinUniversity of WashingtonVerified email at uw.edu
Polina GollandMassachusetts Institute of TechnologyVerified email at mit.edu
Pierre AlquierESSECVerified email at essec.edu
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verified email at ensae.fr
Robert L. WolpertProfessor of Statistical Science, Duke UniversityVerified email at duke.edu
Natesh S. PillaiHarvard UniversityVerified email at fas.harvard.edu

Feng Liang

Department of Statistics

Verified email at illinois.edu

Information Theory Bayesian Statistics Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mixtures of g Priors for Bayesian Variable Selection F Liang, R Paulo, G Molina, MA Clyde, JO Berger Journal of the American Statistical Association 103 (481), 410-423, 2008	1251	2008
Accelerating magnetic resonance imaging via deep learning S Wang, Z Su, L Ying, X Peng, S Zhu, F Liang, D Feng, D Liang 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 514-517, 2016	748	2016
Learning locally-adaptive decision functions for person verification Z Li, S Chang, F Liang, TS Huang, L Cao, JR Smith Proceedings of the IEEE conference on computer vision and pattern …, 2013	612	2013
On community outliers and their efficient detection in information networks J Gao, F Liang, W Fan, C Wang, Y Sun, J Han Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	352	2010
Hierarchical gaussianization for image classification X Zhou, N Cui, Z Li, F Liang, TS Huang 2009 IEEE 12th International Conference on Computer Vision, 1971-1977, 2009	193	2009
Permutation tests for classification. P Golland, F Liang, S Mukherjee, D Panchenko COLT 5, 501-515, 2005	140	2005
Graph-based consensus maximization among multiple supervised and unsupervised models J Gao, F Liang, W Fan, Y Sun, J Han Advances in Neural Information Processing Systems 22, 2009	120	2009
Heterogeneous feature machines for visual recognition L Cao, J Luo, F Liang, TS Huang 2009 IEEE 12th International Conference on Computer Vision, 1095-1102, 2009	113	2009
Improved minimax predictive densities under Kullback-Leibler loss EI George, F Liang, X Xu The Annals of Statistics, 78-91, 2006	110	2006
An integrated framework on mining logs files for computing system management T Li, F Liang, S Ma, W Peng Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005	98	2005
Characterizing the Function Space for Bayesian Kernel Models. NS Pillai, Q Wu, F Liang, S Mukherjee, RL Wolpert Journal of Machine Learning Research 8 (8), 2007	82	2007
Exact minimax strategies for predictive density estimation, data compression and model selection F Liang, A Barron The 2002 IEEE International Symposium on Information Theory (ISIT), 2002	82	2002
A graph-based consensus maximization approach for combining multiple supervised and unsupervised models J Gao, F Liang, W Fan, Y Sun, J Han IEEE Transactions on Knowledge and Data Engineering 25 (1), 15-28, 2011	67	2011
The use of unlabeled data in predictive modeling F Liang, S Mukherjee, M West	67	2007
Quantifying model structural error: Efficient B ayesian calibration of a regional groundwater flow model using surrogates and a data‐driven error model T Xu, AJ Valocchi, M Ye, F Liang Water Resources Research 53 (5), 4084-4105, 2017	63	2017
Localized sliced inverse regression Q Wu, F Liang, S Mukherjee Journal of Computational and Graphical Statistics 19 (4), 843-860, 2010	58	2010
Bayesian Regularization for Graphical Models With Unequal Shrinkage L Gan, N Narisetty, F Liang Journal of the American Statistical Association, https://doi.org/10.1080 …, 2018	53	2018
Nonparametric Bayesian kernel models F Liang, K Mao, M Liao, S Mukherjee, M West Department of Statistical Science, Duke University, Discussion Paper, 07-10, 2007	45	2007
Impact of building design parameters on daylighting metrics using an analysis, prediction, and optimization approach based on statistical learning technique J Lee, M Boubekri, F Liang Sustainability 11 (5), 1474, 2019	41	2019
Machine learning for hydrologic sciences: An introductory overview T Xu, F Liang Wiley Interdisciplinary Reviews: Water 8 (5), e1533, 2021	39	2021

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors