| On the capacity of the peak power constrained vector Gaussian channel: An estimation theoretic perspective A Dytso, M Al, HV Poor, SS Shitz IEEE Transactions on Information Theory 65 (6), 3907-3921, 2019 | 28 | 2019 |
| Ratio utility and cost analysis for privacy preserving subspace projection M Al, S Wan, SY Kung arXiv preprint arXiv:1702.07976, 2017 | 19 | 2017 |
| Multi-kernel, deep neural network and hybrid models for privacy preserving machine learning M Al, T Chanyaswad, SY Kung 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 11 | 2018 |
| Differential mutual information forward search for multi-kernel discriminant-component selection with an application to privacy-preserving classification T Chanyaswad, M Al, JM Chang, SY Kung 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 6 | 2017 |
| Scalable kernel learning via the discriminant information M Al, Z Hou, SY Kung 2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020 | 2 | 2020 |
| Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant Information T Chanyaswad, M Al, SY Kung 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 2 | 2018 |
| Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies M Al, S Yagli, SY Kung IEEE Transactions on Neural Networks and Learning Systems 34 (6), 3019 - 3033, 2021 | 1 | 2021 |
| Scalable building blocks for privacy enhancing machine learning M Al Princeton University, 2020 | 1 | 2020 |
| Supervising Nystr\" om Methods via Negative Margin Support Vector Selection M Al, T Chanyaswad, SY Kung arXiv preprint arXiv:1805.04018, 2018 | | 2018 |
Sun-Yuan KungProfessor of Electrical Engineering, Princeton University在 princeton.edu 的电子邮件经过验证
