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 31, 2018 | 715 | 2018 |
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 (01), 742-749, 2019 | 446 | 2019 |
Generating contrastive explanations with monotonic attribute functions R Luss, PY Chen, A Dhurandhar, P Sattigeri, K Shanmugam, CC Tu arXiv preprint arXiv:1905.12698 3, 2019 | 50 | 2019 |
RACOON: A multiuser QoS design for mobile wireless body area networks SH Cheng, CY Huang, CC Tu Journal of medical systems 35, 1277-1287, 2011 | 50 | 2011 |
Leveraging latent features for local explanations R Luss, PY Chen, A Dhurandhar, P Sattigeri, Y Zhang, K Shanmugam, ... Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 38 | 2021 |
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 | 9 | 2018 |
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 | 8 | 2016 |
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 (5 …, 2019 | 5 | 2019 |
Improving prediction efficacy through abnormality detection and data preprocessing CC Tu, PY Chen, N Wang IEEE Access 7, 103794-103805, 2019 | 4 | 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 |