Chun‐Chen Tu

University of Michigan–Ann Arbor — United States

Computer Science · Physical Sciences

7h-index791citations14works0.02yr avg
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Research Topics

Adversarial Robustness in Machine Learning(6), Explainable Artificial Intelligence (XAI)(4), Advanced Neural Network Applications(3), Anomaly Detection Techniques and Applications(3), Parallel Computing and Optimization Techniques(2)

Publications14 total

Leveraging Latent Features for Local Explanations
2021· 11 citedOpen Access
Prediction with High Dimensional Regression Via Hierarchically Structured Gaussian Mixtures and Latent Variables
Journal of the Royal Statistical Society Series C (Applied Statistics)·2019· 4 citedOpen Access
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks
Proceedings of the AAAI Conference on Artificial Intelligence·2019· 362 citedOpen Access
Generating Contrastive Explanations with Monotonic Attribute Functions.
arXiv (Cornell University)·2019· 37 citedOpen Access
Enhancing Prediction Efficacy withHigh-Dimensional Input Via Structural MixtureModeling of Local Linear Mappings
2019
Improving Prediction Efficacy Through Abnormality Detection and Data Preprocessing
IEEE Access·2019· 5 citedOpen Access
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach
IEEE Transactions on Signal and Information Processing over Networks·2018· 7 cited
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
arXiv (Cornell University)·2018· 34 citedOpen Access
Explanations based on the Missing: Towards Contrastive Explanations with\n Pertinent Negatives
arXiv (Cornell University)·2018· 174 citedOpen Access
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
arXiv (Cornell University)·2018· 148 citedOpen Access
Structured Mixture of Linear Mappings in High Dimension
HAL (Le Centre pour la Communication Scientifique Directe)·2017Open Access
FEAST: An Automated Feature Selection Framework for Compilation Tasks
2017· 3 cited
FEAST: An Automated Feature Selection Framework for Compilation Tasks
arXiv (Cornell University)·2016· 5 citedOpen Access
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach
arXiv (Cornell University)·2016· 1 citedOpen Access

Frequent Co-authors

Pin‐Yu Chen(11), Paishun Ting(8), Shin‐Ming Cheng(4), Amit Dhurandhar(4), Ronny Luss(4), Karthikeyan Shanmugam(4), Ya-Yun Lo(4), Naisyin Wang(3), Huan Zhang(2), Jinfeng Yi(2), Cho‐Jui Hsieh(2), Payel Das(2), Prasanna Sattigeri(2), Danai Koutra(2), Alfred O. Hero(2), Florence Forbes(2), Benjamin Lemasson(2), Sijia Liu(1), Sijia Liu(1), Yunfeng Zhang(1)