Aidong Adam Ding

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Yunsi FeiProfessor of Electrical and Computer Engineering, Northeastern UniversityVerified email at ece.neu.edu
Liwei ZhangNortheastern UniversityVerified email at husky.neu.edu
Thomas WahlNortheastern University, Boston, USAVerified email at northeastern.edu
Jennifer DyElectrical and Computer Engineering, Northeastern UniversityVerified email at ece.neu.edu
David R. KaeliDistinguished Professor of ECE, Northeastern UniversityVerified email at ece.neu.edu
Francois-Xavier StandaertSenior Associate Researcher (FNRS-F.R.S), Université catholique de LouvainVerified email at uclouvain.be
Francois DurvauxPhD Université catholique de LouvainVerified email at uclouvain.be
Qiasi LuoQualcommVerified email at qti.qualcomm.com
Yan YuJoseph S. Stern Professor of Business Analytics, University of CincinnatiVerified email at uc.edu
Yale ChangPhilips Research North AmericaVerified email at ece.neu.edu
Miriam LeeserProfessor of Computer Engineering, Northeastern UniversityVerified email at coe.neu.edu
Xin FangNortheastern UniversityVerified email at qti.qualcomm.com
Thomas EisenbarthUniversity of LübeckVerified email at uni-luebeck.de
Zhen Hang JiangNortheastern UniversityVerified email at husky.neu.edu
Hui GuoProfessor of Finance, University of CincinnatiVerified email at uc.edu
Guanhong MiaoUniversity of FloridaVerified email at ufl.edu
Ruyi DingNortheastern UniversityVerified email at northeastern.edu
Cheng GongyePhD Candidate, Northeastern UniversityVerified email at northeastern.edu
Jeffrey GrimAssociate Professor of Biology, University of TampaVerified email at ut.edu
Auroop R GangulyCOE Distinguished Professor, Fellow ASCE, Distinguished Member ACM, Northeastern University, BostonVerified email at northeastern.edu

Aidong Adam Ding

Associate Professor of Mathematics, Northeastern University

Verified email at neu.edu

Statistics Biostatistics Machine Learning Cyber Security


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Prediction intervals for artificial neural networks JTG Hwang, AA Ding Journal of the American Statistical Association 92 (438), 748-757, 1997	420	1997
Population HIV-1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials H Wu, AA Ding Biometrics 55 (2), 410-418, 1999	323	1999
Estimation of HIV dynamic parameters H Wu, AA Ding, V De Gruttola Statistics in medicine 17 (21), 2463-2485, 1998	159	1998
A Statistical Model for DPA with Novel Algorithmic Confusion Analysis Y Fei, Q Luo, A Ding Cryptographic Hardware and Embedded Systems–CHES 2012, 233-250, 2012	139	2012
Relationships between antiviral treatment effects and biphasic viral decay rates in modeling HIV dynamics AA Ding, H Wu Mathematical biosciences 160 (1), 63-82, 1999	121	1999
On assessing the association for bivariate current status data W Wang, AA Ding Biometrika 87 (4), 879-893, 2000	113	2000
Assessing antiviral potency of anti-HIV therapies in vivo by comparing viral decay rates in viral dynamic models AA Ding, H Wu Biostatistics 2 (1), 13-29, 2001	92	2001
Simpler, faster, and more robust t-test based leakage detection AA Ding, C Chen, T Eisenbarth Constructive Side-Channel Analysis and Secure Design: 7th International …, 2016	84	2016
Regression analysis based on semicompeting risks data JJ Hsieh, W Wang, A Adam Ding Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2008	84	2008
A statistics-based fundamental model for side-channel attack analysis Y Fei, AA Ding, J Lao, L Zhang Cryptology ePrint Archive, 2014	69	2014
A statistical model for higher order DPA on masked devices AA Ding, L Zhang, Y Fei, P Luo Cryptographic Hardware and Embedded Systems–CHES 2014: 16th International …, 2014	59	2014
Towards sound and optimal leakage detection procedure AA Ding, L Zhang, F Durvaux, FX Standaert, Y Fei Smart Card Research and Advanced Applications: 16th International Conference …, 2018	57	2018
A class of discrete transformation survival models with application to default probability prediction AA Ding, S Tian, Y Yu, H Guo Journal of the American Statistical Association 107 (499), 990-1003, 2012	52	2012
Prediction intervals, factor analysis models, and high-dimensional empirical linear prediction AA Ding, JTG Hwang Journal of the American Statistical Association 94 (446), 446-455, 1999	46	1999
Testing independence for bivariate current status data AA Ding, W Wang Journal of the American Statistical Association 99 (465), 145-155, 2004	45	2004
A statistics-based success rate model for DPA and CPA Y Fei, AA Ding, J Lao, L Zhang Journal of Cryptographic Engineering 5, 227-243, 2015	44	2015
A comparison study of models and fitting procedures for biphasic viral dynamics in HIV-1 infected patients treated with antiviral therapies AA Ding, H Wu Biometrics 56 (1), 293-300, 2000	44	2000
Scadet: A side-channel attack detection tool for tracking prime-probe M Sabbagh, Y Fei, T Wahl, AA Ding 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018	43	2018
Backpropagation of pseudo-errors: neural networks that are adaptive to heterogeneous noise AA Ding, X He IEEE Transactions on Neural Networks 14 (2), 253-262, 2003	41	2003
Copula correlation: An equitable dependence measure and extension of pearson's correlation AA Ding, Y Li arXiv preprint arXiv:1312.7214, 2013	36	2013

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