| Optimal mass transport: Signal processing and machine-learning applications S Kolouri, SR Park, M Thorpe, D Slepcev, GK Rohde IEEE signal processing magazine 34 (4), 43-59, 2017 | 451 | 2017 |
| A fully convolutional neural network for speech enhancement SR Park, J Lee arXiv preprint arXiv:1609.07132, 2016 | 441 | 2016 |
| The radon cumulative distribution transform and its application to image classification S Kolouri, SR Park, GK Rohde IEEE transactions on image processing 25 (2), 920-934, 2015 | 90 | 2015 |
| A Transportation Distance for Signal Analysis M Thorpe, S Park, S Kolouri, GK Rohde, D Slepčev Journal of mathematical imaging and vision 59, 187-210, 2017 | 79 | 2017 |
| De-multiplexing vortex modes in optical communications using transport-based pattern recognition SR Park, L Cattell, JM Nichols, A Watnik, T Doster, GK Rohde Optics express 26 (4), 4004-4022, 2018 | 76 | 2018 |
| The cumulative distribution transform and linear pattern classification SR Park, S Kolouri, S Kundu, GK Rohde Applied and computational harmonic analysis 45 (3), 616-641, 2018 | 69 | 2018 |
| TwHIN-BERT: a socially-enriched pre-trained language model for multilingual Tweet representations X Zhang, Y Malkov, O Florez, S Park, B McWilliams, J Han, A El-Kishky arXiv preprint arXiv:2209.07562, 2022 | 50 | 2022 |
| Twhin: Embedding the twitter heterogeneous information network for personalized recommendation A El-Kishky, T Markovich, S Park, C Verma, B Kim, R Eskander, Y Malkov, ... Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 47 | 2022 |
| Transport-based analysis, modeling, and learning from signal and data distributions S Kolouri, S Park, M Thorpe, D Slepčev, GK Rohde arXiv preprint arXiv:1609.04767, 2016 | 35 | 2016 |
| HABERTOR: An efficient and effective deep hatespeech detector T Tran, Y Hu, C Hu, K Yen, F Tan, K Lee, S Park arXiv preprint arXiv:2010.08865, 2020 | 30 | 2020 |
| Transport-based model for turbulence-corrupted imagery JM Nichols, TH Emerson, L Cattell, S Park, A Kanaev, F Bucholtz, ... Applied optics 57 (16), 4524-4536, 2018 | 17 | 2018 |
| Representing and learning high dimensional data with the optimal transport map from a probabilistic viewpoint S Park, M Thorpe Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 15 | 2018 |
| An optimal transport model for imaging in atmospheric turbulence JM Nichols, AT Watnik, T Doster, S Park, A Kanaev, L Cattell, GK Rohde arXiv preprint arXiv:1705.01050, 2017 | 11 | 2017 |
| Transport Transforms and Its Application to Demultiplexing Orbital Angular Momentum Beams SR Park Carnegie Mellon University, 2017 | | 2017 |
