Aijun Zhang
Aijun Zhang
The University of Hong Kong
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Statistical methods for fighting financial crimes
A Sudjianto, S Nair, M Yuan, A Zhang, D Kern, F Cela-Díaz
Technometrics 52 (1), 5-19, 2010
872010
Screening experiments and the use of fractional factorial designs in behavioral intervention research
V Nair, V Strecher, A Fagerlin, P Ubel, K Resnicow, S Murphy, R Little, ...
American journal of public health 98 (8), 1354-1359, 2008
552008
Majorization framework for balanced lattice designs
A Zhang, KT Fang, R Li, A Sudjianto
Annals of statistics 33 (6), 2837-2853, 2005
542005
The distinct role of comparative risk perceptions in a breast cancer prevention program
AJ Dillard, PA Ubel, DM Smith, BJ Zikmund-Fisher, V Nair, HA Derry, ...
Annals of Behavioral Medicine 42 (2), 262-268, 2011
362011
Statistical Methods in Credit Risk Modeling.
A Zhang
282009
Enhancing explainability of neural networks through architecture constraints
Z Yang, A Zhang, A Sudjianto
IEEE Transactions on Neural Networks and Learning Systems, 2020
202020
An effective algorithm for generation of factorial designs with generalized minimum aberration
KT Fang, A Zhang, R Li
Journal of complexity 23 (4-6), 740-751, 2007
122007
Trace solution paths for SVMs via parametric quadratic programming
Z Wu, A Zhang, C Li, A Sudjianto
KDD Worskshop: Data Mining Using Matrices and Tensors, 2008
112008
Minimum aberration majorization in non-isomorphic saturated designs
KT Fang, A Zhang
Journal of statistical planning and inference 126 (1), 337-346, 2004
92004
On hadamard-type output coding in multiclass learning
A Zhang, ZL Wu, CH Li, KT Fang
International Conference on Intelligent Data Engineering and Automated …, 2003
92003
Interval-valued data prediction via regularized artificial neural network
Z Yang, DKJ Lin, A Zhang
Neurocomputing 331, 336-345, 2019
72019
GAMI-Net: An explainable neural network based on generalized additive models with structured interactions
Z Yang, A Zhang, A Sudjianto
arXiv preprint arXiv:2003.07132, 2020
62020
Bess: an r package for best subset selection in linear, logistic and CoxPH models
C Wen, A Zhang, S Quan, X Wang
arXiv preprint arXiv:1709.06254, 2017
62017
Mixed-level column augmented uniform designs
F Yang, YD Zhou, A Zhang
Journal of Complexity 53, 23-39, 2019
52019
Risk and reward assessment mechanism
A Sudjianto, M Chorba, D Hudson, S Setiawan, J Sikora, H Singhal, ...
US Patent 8,326,723, 2012
52012
Schur-convex discrimination of designs using power and exponential kernels
A Zhang
Contemporary Multivariate Analysis And Design Of Experiments: In Celebration …, 2005
52005
BeSS: An R Package for Best Subset Selection in Linear, Logistic and Cox Proportional Hazards Models
C Wen, A Zhang, S Quan, X Wang
Journal of Statistical Software 94 (1), 1-24, 2020
22020
Exploring canonical correlation analysis with subspace and structured sparsity for web image annotation
L Tao, HHS Ip, A Zhang, X Shu
Image and Vision Computing 54, 22-30, 2016
22016
One-factor-at-a-time Screening Designs for Computer Experiments
A Zhang
SAE Transactions, 1521-1524, 2007
22007
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification
A Sudjianto, W Knauth, R Singh, Z Yang, A Zhang
arXiv preprint arXiv:2011.04041, 2020
12020
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