Chun-Chen Tu
Chun-Chen Tu
Verified email at umich.edu
Title
Cited by
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Year
Autozoom: Autoencoder-based zeroth order optimization method for attacking black-box neural networks
CC Tu, P Ting, PY Chen, S Liu, H Zhang, J Yi, CJ Hsieh, SM Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 33, 742-749, 2019
1052019
Explanations based on the missing: Towards contrastive explanations with pertinent negatives
A Dhurandhar, PY Chen, R Luss, CC Tu, P Ting, K Shanmugam, P Das
Advances in Neural Information Processing Systems, 592-603, 2018
1032018
RACOON: A multiuser QoS design for mobile wireless body area networks
SH Cheng, CY Huang, CC Tu
Journal of medical systems 35 (5), 1277-1287, 2011
422011
Generating contrastive explanations with monotonic attribute functions
R Luss, PY Chen, A Dhurandhar, P Sattigeri, Y Zhang, K Shanmugam, ...
arXiv preprint arXiv:1905.12698, 2019
62019
FEAST: An automated feature selection framework for compilation tasks
PS Ting, CC Tu, PY Chen, YY Lo, SM Cheng
arXiv preprint arXiv:1610.09543, 2016
52016
Prediction with high dimensional regression via hierarchically structured Gaussian mixtures and latent variables
CC Tu, F Forbes, B Lemasson, N Wang
Journal of the Royal Statistical Society: Series C (Applied Statistics) 68 …, 2019
22019
Identifying influential links for event propagation on Twitter: A network of networks approach
PY Chen, CC Tu, P Ting, YY Lo, D Koutra, AO Hero
IEEE Transactions on Signal and Information Processing over Networks 5 (1 …, 2018
22018
Improving Prediction Efficacy Through Abnormality Detection and Data Preprocessing
CC Tu, PY Chen, N Wang
IEEE Access 7, 103794-103805, 2019
2019
Enhancing Prediction Efficacy with High-Dimensional Input Via Structural Mixture Modeling of Local Linear Mappings
CC Tu
2019
Structured Mixture of linear mappings in high dimension
CC Tu, F Forbes, B Lemasson, N Wang
2018
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Articles 1–10