Deguang Kong

Cited by

	All	Since 2016
Citations	1434	1111
h-index	17	14
i10-index	28	19

260

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201120122013201420152016201720182019202020216 23 53 100 115 158 218 248 234 246 6

Co-authors

Chris H.Q. DingProfessor of computer science, University of Texas, ArlingtonVerified email at uta.edu
Guanhua YanDepartment of Computer Science, Binghamton University, State University of New YorkVerified email at binghamton.edu
Heng HuangJohn A. Jurenko Endowed Professor, Electrical and Computer Engineering, University of PittsburghVerified email at pitt.edu
Lei CenTwitter inc.Verified email at twitter.com
Ji LiuUniversity of RochesterVerified email at cs.rochester.edu
Feiping NieOPTIMALVerified email at mails.tsinghua.edu.cn
Neil Zhenqiang GongAssistant Professor, Duke UniversityVerified email at duke.edu
Bin LiuWest Virginia UniversityVerified email at rutgers.edu
Xuan BaoEngineer, Google, (past: Samsung Research America, Duke University)Verified email at google.com
Xiaolong WangWest Virginia University, University of Delaware, Samsung Research America (SRA), IBM, WVU, UDELVerified email at mix.wvu.edu
Dawei LiAmazonVerified email at amazon.com
Hui Xiong, Fellow of AAAS and IEEEProfessor of Data Mining, Rutgers UniversityVerified email at rutgers.edu
Bin LiuSoftware Engineer, GoogleVerified email at usc.edu
Peng LiuRaymond G. Tronzo, M.D. Professor of Cybersecurity, Penn State UniversityVerified email at ist.psu.edu
Bing HuFacebookVerified email at ucr.edu
Wei YangAssistant Professor, Department of Computer Science, University of Texas at DallasVerified email at utdallas.edu
Carl A. GunterGeorge and Ann Fisher Distinguished Professor, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Tao XieChair Professor, Department of Computer Science and Technology, Peking UniversityVerified email at pku.edu.cn
Miao ZhangAt&t Services, IncVerified email at mavs.uta.edu
Lam C. TranUniversity of RochesterVerified email at u.rochester.edu

Deguang Kong

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Machine learning and Pattern Recognition Security and Privacy Data Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Robust nonnegative matrix factorization using l21-norm D Kong, C Ding, H Huang Proceedings of the 20th ACM international conference on Information and …, 2011	261	2011
Discriminant malware distance learning on structural information for automated malware classification D Kong, G Yan Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	180	2013
Personalized mobile app recommendation: Reconciling app functionality and user privacy preference B Liu, D Kong, L Cen, NZ Gong, H Jin, H Xiong Proceedings of the eighth ACM international conference on web search and …, 2015	98	2015
Multi-label relieff and f-statistic feature selections for image annotation D Kong, C Ding, H Huang, H Zhao 2012 IEEE conference on computer vision and pattern recognition, 2352-2359, 2012	89	2012
Exclusive Feature Learning on Arbitrary Structures via -norm D Kong, R Fujimaki, J Liu, F Nie, C Ding Advances in Neural Information Processing Systems, 1655-1663, 2014	83	2014
Exploring discriminatory features for automated malware classification G Yan, N Brown, D Kong International Conference on Detection of Intrusions and Malware, and …, 2013	82	2013
Deeprebirth: Accelerating deep neural network execution on mobile devices D Li, X Wang, D Kong Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	62	2018
Malware detection in adversarial settings: Exploiting feature evolutions and confusions in android apps W Yang, D Kong, T Xie, CA Gunter Proceedings of the 33rd Annual Computer Security Applications Conference …, 2017	62	2017
Autoreb: Automatically understanding the review-to-behavior fidelity in android applications D Kong, L Cen, H Jin Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications …, 2015	59	2015
An iterative locally linear embedding algorithm D Kong, CHQ Ding, H Huang, F Nie arXiv preprint arXiv:1206.6463, 2012, 2012	45	2012
Privacy-cnh: A framework to detect photo privacy with convolutional neural network using hierarchical features L Tran, D Kong, H Jin, J Liu Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	42	2016
Puppies: Transformation-supported personalized privacy preserving partial image sharing J He, B Liu, D Kong, X Bao, N Wang, H Jin, G Kesidis 2016 46th annual IEEE/IFIP international conference on dependable systems …, 2016	34	2016
Robust non-negative dictionary learning Q Pan, D Kong, C Ding, B Luo Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	34	2014
ISA: a source code static vulnerability detection system based on data fusion. D Kong, Q Zheng, C Chen, J Shuai, M Zhu InfoScale, 55, 2007	22	2007
Protecting your children from inappropriate content in mobile apps: An automatic maturity rating framework B Hu, B Liu, NZ Gong, D Kong, H Jin Proceedings of the 24th ACM International on Conference on Information and …, 2015	20	2015
Obfuscated Malware Detection Based on Boosting Multilevel Features D Kong, X Tan, H Xi, T Gong, J Shuai Journal of Software 22 (3), 522-533, 2011	19*	2011
Minimal Shrinkage for Noisy Data Recovery Using Schatten-p Norm Objective D Kong, M Zhang, C Ding Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013	18	2013
Efficient algorithms for selecting features with arbitrary group constraints via group lasso D Kong, C Ding 2013 IEEE 13th International Conference on Data Mining, 379-388, 2013	16	2013
Towards permission request prediction on mobile apps via structure feature learning D Kong, H Jin Proceedings of the 2015 SIAM International Conference on Data Mining, 604-612, 2015	15	2015
Mobile app security risk assessment: A crowdsourcing ranking approach from user comments L Cen, D Kong, H Jin, L Si Proceedings of the 2015 SIAM International Conference on Data Mining, 658-666, 2015	15	2015

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