Pores with longitudinal irregularities distinguish objects by shape Y Qiu, P Hinkle, C Yang, HE Bakker, M Schiel, H Wang, D Melnikov, ... ACS nano 9 (4), 4390-4397, 2015 | 73 | 2015 |
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning H Wang, Y Deng, S Yoo, H Ling, Y Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 15 | 2021 |
Neural network based point spread function deconvolution for astronomical applications H Wang, S Sreejith, Y Lin, N Ramachandra, A Slosar, S Yoo The Open Journal of Astrophysics 6, 2023 | 4 | 2023 |
Galaxy deblending using residual dense neural networks H Wang, S Sreejith, A Slosar, Y Lin, S Yoo Physical Review D 106 (6), 063023, 2022 | 3 | 2022 |
Exploring robust features for improving adversarial robustness H Wang, Y Deng, S Yoo, Y Lin IEEE Transactions on Cybernetics, 2024 | 1 | 2024 |
Point Spread Function Deconvolution Using a Convolutional Autoencoder for Astronomical Applications S Sreejith, A Slosar, H Wang arXiv preprint arXiv:2310.19605, 2023 | | 2023 |
Deconvolution of Astronomical Images with Deep Neural Networks H Wang, S Sreejith, Y Lin, NS Ramachandra, A Slosar, S Yoo NeurIPS 2022 AI for Science: Progress and Promises, 2022 | | 2022 |
Characterization and Modeling of Coarsening Mechanisms in Supported Nanoparticle Ensemble. DN Zakharov, A Tkachenko, X Qu, H Wang, Y Lin, JP Horwath, S Yoo, ... Microscopy and Microanalysis 25 (S2), 1420-1421, 2019 | | 2019 |